{"id":1577,"date":"2019-11-11T10:37:47","date_gmt":"2019-11-11T10:37:47","guid":{"rendered":"http:\/\/www-dsc-vm.naist.jp\/dsc_naist\/?page_id=1577"},"modified":"2022-06-30T12:11:19","modified_gmt":"2022-06-30T03:11:19","slug":"prof-kimito-funatsu","status":"publish","type":"page","link":"http:\/\/www-dsc.naist.jp\/dsc_naist\/prof-kimito-funatsu\/","title":{"rendered":"Prof. Kimito Funatsu"},"content":{"rendered":"

\u00a0<\/strong><\/p>\n

\u300c\u8239\u6d25\u516c\u4eba\u300d\u6559\u80b2\u7814\u7a76\u7b49\u696d\u7e3e\u4e00\u89a7<\/strong><\/span><\/p>\n

\u00a0<\/strong>\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u30002022\u5e74\uff11\u67081\u65e5\u73fe\u5728<\/strong><\/p>\n

 <\/p>\n

\u25cb\u6559\u80b2\u7814\u7a76\u306e\u6307\u5c0e\u5b9f\u7e3e
\n<\/strong>\uff08\u62c5\u5f53\u6388\u696d\u79d1\u76ee\u30fb\u6642\u9593\u6570\u53ca\u3073\u535a\u58eb\u5f8c\u671f\u8ab2\u7a0b\u5b66\u751f\u6307\u5c0e\u7d4c\u9a13\u7b49\u3092\u8a18\u8f09\uff09<\/p>\n

\u3010\u62c5\u5f53\u6388\u696d\u79d1\u76ee\u3011
\n<\/strong>\u30fb\u6771\u4eac\u5927\u5b66
\n\uff11\uff09\u5b66\u90e8\u3000\u3000\u30d7\u30ed\u30bb\u30b9\u30b7\u30b9\u30c6\u30e0\u5de5\u5b66I
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u5316\u5b66\u30b7\u30b9\u30c6\u30e0\u5de5\u5b66\u6982\u8ad6
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u79d1\u5b66
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u5b66\u8853\u30d5\u30ed\u30f3\u30c6\u30a3\u30a2\u8b1b\u7fa9\u300c\u5316\u5b66\u30b7\u30b9\u30c6\u30e0\u5de5\u5b66\u3067\u62d3\u304f\u672a\u6765\u306e\u3082\u306e\u3065\u304f\u308a\u300d
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u74b0\u5883\u30fb\u30a8\u30cd\u30eb\u30ae\u30fc\u5de5\u5b66\u6982\u8ad6\uff080.2\u5358\u4f4d\uff09
\n\uff12\uff09\u5927\u5b66\u9662\u3000\u30d7\u30ed\u30c0\u30af\u30c8\u30c7\u30b6\u30a4\u30f3\uff082\u5358\u4f4d\uff09
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u5316\u5b66\u60c5\u5831\u5b66\u7279\u8ad6\uff081\u5358\u4f4d\uff09<\/p>\n

\u30fb\u5948\u826f\u5148\u7aef\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u8ad6<\/p>\n

\u00a0<\/strong>\u3010\u535a\u58eb\u5f8c\u671f\u8ab2\u7a0b\u5b66\u751f\u6307\u5c0e\u7d4c\u9a13\u3011
\n<\/strong>\u3000<\/strong>\u30fb\u8c4a\u6a4b\u6280\u8853\u79d1\u5b66\u5728\u7c4d\u671f\u9593\u4e2d\u3000\u300010\u540d\u6307\u5c0e
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u5206\u5b50\u8a2d\u8a08\u30fb\u6750\u6599\u8a2d\u8a08\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u89e3\u6790\u624b\u6cd5\u306e\u7814\u7a76\u3001\u6709\u6a5f\u5408\u6210\u7d4c\u8def\u8a2d\u8a08\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u3001
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u6709\u6a5f\u5316\u5408\u7269\u306e\u69cb\u9020\u63a8\u5b9a\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u89e3\u6790\u624b\u6cd5\u306e\u958b\u767a\u7b49
\n\u3000\u30fb\u6771\u4eac\u5927\u5b66\u5728\u7c4d\u4e2d\u3000\u3000\u3000\u3000\u3000\u300011\u540d\u6307\u5c0e
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u5206\u5b50\u8a2d\u8a08\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u89e3\u6790\u3068\u5019\u88dc\u69cb\u9020\u751f\u6210\u6cd5\u306e\u958b\u767a\u3001\u30d7\u30e9\u30f3\u30c8\u306e\u76e3\u8996\u3068\u5236\u5fa1\u306e\u305f\u3081\u306e
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u30bd\u30d5\u30c8\u30bb\u30f3\u30b5\u30fc\u306b\u95a2\u3059\u308b\u7814\u7a76\u3001\u5316\u5b66\u30d7\u30ed\u30bb\u30b9\u306e\u7570\u5e38\u691c\u77e5\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u89e3\u6790\u624b\u6cd5\u306e\u958b\u767a
\n\u3000\u30fb\u5948\u826f\u5148\u7aef\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66\u30005\u540d\u6307\u5c0e\u4e2d
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u5206\u5b50\u8a2d\u8a08\u95a2\u4fc2\u3001\u30d7\u30ed\u30bb\u30b9\u30c7\u30fc\u30bf\u89e3\u6790<\/p>\n

\u00a0<\/strong>\u25cb\u7814\u7a76\u696d\u7e3e
\n<\/strong>\uff08\u8457\u66f8\u3001\u8ad6\u6587\u3001\u67fb\u8aad\u4ed8\u304d\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587\u3001\u7dcf\u8aac\u53ca\u3073\u7279\u8a31\u306b\u533a\u5206\u3057\u3001\u73fe\u5728\u304b\u3089\u904e\u53bb\u306e\u9806\u4f4d\u306b\u8a18\u8f09\uff09<\/p>\n

\u3010\u8457\u66f8\u3011<\/p>\n

    \n
  1. \u8239\u6d25\u516c\u4eba\u3001\u4e95\u4e0a\u8cb4\u592e\u3001\u897f\u5ddd\u5927\u8cb4\u3001\u8a73\u89e3\u30de\u30c6\u30ea\u30a2\u30eb\u30ba\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u30fc\u6709\u6a5f\u7121\u6a5f\u5316\u5b66\u306e\u305f\u3081\u306e\u6df1\u5c64\u5b66\u7fd2\u30012021\u5e74\u3001\u8fd1\u4ee3\u79d1\u5b66\u793e<\/li>\n
  2. \u8239\u6d25\u516c\u4eba\u76e3\u4fee\u53ca\u3073\u57f7\u7b46\u3001\u6750\u6599\u304a\u3088\u3073\u30d7\u30ed\u30bb\u30b9\u958b\u767a\u306e\u305f\u3081\u306e\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u306e\u57fa\u790e\u3068\u7814\u7a76\u958b\u767a\u6700\u524d\u7dda\u3001\u30b7\u30fc\u30a8\u30e0\u30b7\u30fc\u3002\u30ea\u30b5\u30fc\u30c1\u30012020<\/li>\n
  3. \u30dd\u30ea\u30de\u30fc\u30a2\u30ed\u30a4\/\u30d6\u30ec\u30f3\u30c9\u306b\u304a\u3051\u308b\u76f8\u6eb6\u6027\u30fb\u5206\u6563\u6761\u4ef6\u306e\u6700\u9069\u5316\u3001\u8a55\u4fa1\u5fdc\u7528\u306e\u6700\u65b0\u6280\u8853\u3001\u6280\u8853\u60c5\u5831\u5354\u4f1a\u3001\uff12\uff10\uff12\uff10\uff0c\u5206\u62c5\u57f7\u7b46<\/li>\n
  4. \u30de\u30c6\u30ea\u30a2\u30eb\u30ba\u30fb\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9Q\uff06A\u96c6\uff0d\u89e3\u6790\u5b9f\u52d9\u3068\u5fdc\u7528\u4e8b\u4f8b\u2010\u3001\u60c5\u5831\u6a5f\u69cb\u30012020\u3001\u5206\u62c5\u57f7\u7b46<\/li>\n
  5. \u8239\u6d25\u516c\u4eba\u3001\u67f4\u5c71\u7fd4\u4e8c\u90ce\u3001\u5b9f\u8df5\u30de\u30c6\u30ea\u30a2\u30eb\u30ba\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u3000\uff0dPython\u306b\u3088\u308b\u6750\u6599\u8a2d\u8a08\u306e\u305f\u3081\u306e\u6a5f\u68b0\u5b66\u7fd2\uff0d\u30012020\u5e74\u3001\u8fd1\u4ee3\u79d1\u5b66\u793e<\/li>\n
  6. Hiromasa Kaneko, Kimito Funatsu, Soft Sensors: Chemoinformatic Model for Efficient Control and Operation in Chemical Plants, Frontiers in Molecular Design and Chemical Information Science- Herman Skolnik Award Symposium 2015, ACS Symposium Series 1222, pp159-174, 2016.<\/li>\n
  7. Matheus de Souza EscobarHiromasa KanekoKimito Funatsu, Data Visualization & Clustering: Generative Topographic Mapping Similarity Assessment Allied to Graph Theory Clustering, Frontiers in Molecular Design and Chemical Information Science- Herman Skolnik Award Symposium 2015, ACS Symposium Series 1222, pp175-210, 2016.<\/li>\n
  8. \u91d1\u5b50 \u5f18\u660c, \u8239\u6d25\u516c\u4eba, \u30d5\u30a1\u30a6\u30ea\u30f3\u30b0\u306e\u539f\u56e0\u3068\u5bfe\u7b56\u30fb\u6291\u5236\u6280\u8853, \u7b2c4\u7bc0\u3000MBR\u306b\u304a\u3051\u308b\u9577\u671f\u7684\u30d5\u30a1\u30a6\u30ea\u30f3\u30b0\u4e88\u6e2c\u304a\u3088\u3073\u30d5\u30a1\u30a6\u30ea\u30f3\u30b0\u306e\u9032\u884c\u3092\u6291\u5236\u3059\u308b\u904b\u8ee2\u65b9\u6cd5\u63a2\u7d22, S&T\u51fa\u7248, 2016.<\/li>\n
  9. \u8239\u6d25\u516c\u4eba\u3001\u91d1\u5b50\u5f18\u660c\u3001\u300c\u30bd\u30d5\u30c8\u30bb\u30f3\u30b5\u30fc\u5165\u9580\u3000\uff5e\u57fa\u790e\u304b\u3089\u5b9f\u7528\u7684\u7814\u7a76\u4f8b\u307e\u3067\u300d\u3001\u30b3\u30ed\u30ca\u793e(2014)\u3000227\u30da\u30fc\u30b8\uff0e<\/li>\n
  10. Physical and Biological Properties of Agricultural Products, \u5206\u62c5\u57f7\u7b46\u3001Kyoto University Press(2014)<\/li>\n
  11. De Novo Molecule Design, \u5206\u62c5\u57f7\u7b46\u3001 Wiley-VCH\u3001(2013)<\/li>\n
  12. Chemoinformatics for Drug Discovery(Chapter 4), SPi Global (2013)<\/li>\n
  13. \u5316\u5b66\u5206\u91ce\u306b\u304a\u3051\u308b\u30d7\u30ed\u30bb\u30b9\u30b7\u30b9\u30c6\u30e0\u306e\u8a08\u6e2c\u30fb\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u6280\u8853\u3001\u30b7\u30fc\u30a8\u30e0\u30b7\uff08\uff12\uff10\uff11\uff11\uff09\u5206\u62c5\u57f7\u7b46<\/li>\n
  14. Knowledge-Oriented Application in Data Mining, INTEC (2011).<\/li>\n
  15. New Fundamental Technologies in Data Mining, INTEC (2011).<\/li>\n
  16. Chemoinformatics and Advanced Machine Learning Perspectives, Medical Information Science Reference (2010)). \u5206\u62c5\u57f7\u7b46<\/li>\n
  17. \u8fb2\u696d\u7269\u6027\u5316\u5b66\uff12\u3001\uff08\uff12\uff10\uff11\uff10\uff09\u5206\u62c5\u57f7\u7b46<\/li>\n
  18. Data Modeling and Chemical Interpretation of ADME Properties Using Regression and Rule Mining Techniques, Frontiers in Drug Design and Discovery, Bentham Science Publishers Ltd.(2008).<\/li>\n
  19. \u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30c3\u30af\u30b9\u3001\u4e38\u5584 \uff08\uff12\uff10\uff10\uff15\uff09\u5168\uff16\uff13\uff18\u30da\u30fc\u30b8\u3000\u8239\u6d25\u516c\u4eba\u76e3\u8a33<\/li>\n
  20. \u30ed\u30dc\u30c3\u30c8\u30fb\u30de\u30a4\u30af\u30ed\u5408\u6210\u6700\u524d\u7dda\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u5229\u7528\u306b\u3088\u308b\u5408\u6210\u30c7\u30b6\u30a4\u30f3\u3068\u526f\u53cd\u5fdc\u751f\u6210\u7269\u306e\u4e88\u6e2c\u3001166-173 (2004) \u5316\u5b66\u540c\u4eba<\/li>\n
  21. \u201c\u30b1\u30eb\u30ca\u30fc\u5206\u6790\u5316\u5b66\u201d\u3001\u79d1\u5b66\u6280\u8853\u51fa\u7248\uff08\uff12\uff10\uff10\uff13\uff09. \u5206\u62c5\u57f7\u7b46<\/li>\n
  22. Encyclopedia of Computational Chemistry, Wiley (1998) . \u5206\u62c5\u57f7\u7b46<\/li>\n
  23. Kimito Funatsu, “Topological Strucutre Generators”.<\/li>\n
  24. \u4f50\u3005\u6728\u614e\u4e00\u3001\u8239\u6d25\u516c\u4eba\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fb\u30b1\u30df\u30b9\u30c8\u30ea\u30fc\u30b7\u30ea\u30fc\u30ba\uff11
    \n\u3000\u3000\u3000\u3000 \u00a0 \u300c\uff23\uff28\uff25\uff2d\uff29\uff23\uff33\uff0d\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306b\u3088\u308b\u69cb\u9020\u89e3\u6790\u300d\u5171\u7acb\u51fa\u7248\uff08\uff11\uff19\uff19\uff14\uff09\uff0e<\/li>\n
  25. \u8239\u6d25\u516c\u4eba\u3001\u4f50\u3005\u6728\u614e\u4e00\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fb\u30b1\u30df\u30b9\u30c8\u30ea\u30fc\u30b7\u30ea\u30fc\u30ba\uff12
    \n\u00a0 \u3000\u3000\u3000\u3000 \u300c\uff21\uff29\uff30\uff28\uff2f\uff33\uff0d\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306b\u3088\u308b\u6709\u6a5f\u5408\u6210\u7d4c\u8def\u63a2\u7d22\u300d\u5171\u7acb\u51fa\u7248\uff08\uff11\uff19\uff19\uff14\uff09\uff0e<\/li>\n<\/ol>\n

     <\/p>\n

    \u3010\u8ad6\u6587\uff1a\u67fb\u8aad\u4ed8\u304d\u3011<\/p>\n

      \n
    1. Shibayama, K. Funatsu, Industrial Case Study: Identification of Important Substructures and Exploration of Monomers for the Rapid Design of Novel Network Polymers with Distributed Representation, Bulletin of the Chemical Society of Japan, 2020, https:\/\/doi.org\/10.1246\/bcsj.20200220<\/li>\n
    2. Tamura S, Miyao T & Funatsu K. “Ligand-based Activity Cliff Prediction Models with Applicability Domain.”, moleculear informatics, 2020; https:\/\/doi.org\/10.1002\/minf.20200103<\/a><\/li>\n
    3. Hikosaka T, Aoshima S, Miyao T & Funatsu K. “Soft Sensor Modeling for Identifying Significant Process Variables with Time Delays.”, Ind. Eng. Chem. Res. 2020<\/li>\n
    4. Nakano H, Miyao T & Funatsu K. “Exploring Topological Pharmacophore Graphs for Scaffold Hopping.” J. Chem. Inf. Model. 60, 2073-2081, 2020.<\/li>\n
    5. Aoshima S, Miyao T & Funatsu K. ”Soft-sensor modeling for semi-batch chemical process using limited number of sampling.”, J. Comput. Aided Chem. 20, 119-132, 2019.<\/li>\n
    6. Miyao T, Jasial S, Bajorath J & Funatsu K. “Evaluation of different virtual screening strategies on the basis of compound sets with characteristic core distributions and dissimilarity relationships.”, J. Comput. Aided Mol. Des. 33, 729-743, 2019.<\/li>\n
    7. Laufk\u00f6tter O, Miyao T & Bajorath J. ”Large-Scale Comparison of Alternative Similarity Search Strategies with Varying Chemical Information Contents.” ACS Omega 4, 15304-15311, 2019.<\/li>\n
    8. Tamura S, Miyao T & Funatsu K. ”Development of R-Group Fingerprints Based on the Local Landscape from an Attachment Point of a Molecular Structure.” J. Chem. Inf. Model. 59, 2656-2663, 2019.<\/li>\n
    9. Miyao T & Funatsu K. ”Iterative Screening Methods for Identification of Chemical Compounds with Specific Values of Various Properties.” J. Chem. Inf. Model. 59, 2626-2641, 2019.<\/li>\n
    10. Miyao T, Funatsu K & Bajorath J. ”Three-dimensional activity landscape models of different design and their application to compound mapping and potency prediction.” J. Chem. Inf. Model. 59, 993-1004, 2019.<\/li>\n
    11. Miyao T, Funatsu K & Bajorath J. ”Exploring alternative strategies for the identification of potent compounds using support vector machine and regression modeling.” J. Chem. Inf. Model. 59, 983-992, 2019.<\/li>\n
    12. Kaitoh, M. Kotera, K. Funatsu, Novel Electrotopological Atomic Descriptors for the Prediction of Xenobiotic Cytochrome P450 Reactions, Molecular Informatics, 38 (10), 2019<\/li>\n
    13. H. Chen, K. Tanaka, K. Funatsu, Random Forest Model with Combined Features: A Practical Approach to Predict Liquid\u2010crystalline Property, 38 (4), Molecular Informatics, 2018<\/li>\n
    14. \u4f50\u65b9 \u51ac\u5f69\u5b50, \u5c0f\u5bfa \u6b63\u660e, \u7530\u4e2d \u5065\u4e00, \u4e2d\u91ce \u535a\u53f2, \u6d6e\u7530 \u660c\u4e00, \u767d\u6ca2 \u697d, \u51a8\u8c37 \u8302\u9686, \u8239\u6d25 \u516c\u4eba, \u7121\u6a5f\u6750\u6599\u306e\u7d44\u6210\u5f0f\u3092\u5143\u306b\u3057\u305f\u7269\u6027\u4e88\u6e2c\u306e\u305f\u3081\u306e\u8a18\u8ff0\u5b50\u958b\u767a, Journal of Computer Chemistry, Japan, 19(1), 7-18, 2018.<\/li>\n
    15. \u9234\u6728 \u5929\u97f3, \u6728\u5009 \u60a0\u4e00\u90ce, \u7530\u4e2d \u5065\u4e00, \u8239\u6d25 \u516c\u4eba, \u6df1\u5c64\u5b66\u7fd2\u306b\u3088\u308b\u6eb6\u89e3\u5ea6\u4e88\u6e2c\u3068\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u5316\u5b66\u7684\u89e3\u91c8, Journal of Computer Chemistry, Japan, 19(1), 1-6, 2018.<\/li>\n
    16. Yuge, K. Tanaka, H. Kaneko, K. Funatsu, Selective Use of Adaptive Models Considering the Prediction Efficiencies, Industrial & Engineering Chemistry Research, 57(42), 14286-14296, 2018.<\/li>\n
    17. H. Chen, K. Tanaka, K. Funatsu,\u00a0Random Forest Approach to QSPR Study of Fluorescence Properties Combining Quantum Chemical Descriptors and Solvent Conditions, Journal of Fluorescence, 28(2), 695-706, 2018<\/li>\n
    18. Shibayama, H. Kaneko, K. Funatsu, Formulation of excess absorption in infrared spectra by numerical decomposition to allow effective process monitoring, Computers & Chemical Engineering, 113, 86-97, 2018.<\/li>\n
    19. Miyao, K. Funatsu, J. Bajorath, Exploring differential evolution for inverse QSAR analysis, F1000Research, 2017<\/li>\n
    20. Nakagawa, T. Miyao, K. Funatsu, Identification of Bioactive Scaffolds Based on QSAR Models, Molecular Informatics, 2017<\/li>\n
    21. Maeda, K. Hasegawa, H. Kaneko, K. Funatsu, Novel Method Proposing Chemical Structures with Desirable Profile of Activities Based on Chemical and Protein Spaces, Molecular Informatics, 2017<\/li>\n
    22. Ochi, T. Miyao, K. Funatsu, Structure Modification Toward Applicability Domain of a QSAR\/QSPR Model Considering Activity\/Property, Molecular Informatics, 36, 1700076<\/li>\n
    23. Yan, S. Escobar, H. Kaneko, K. Funatsu, Detection of Nonlinearity in Soil Property Prediction Models Based on Near-infrared Spectroscopy, Chemometrics and Intelligent Laboratory Systems, 167, 139-151, 2017T. Miyao, K. Funatsu, Finding Chemical Structures Corresponding to a Set of Coordinates in Chemical Descriptor Space, Molecular Informatics, accepted.<\/li>\n
    24. Kaneko, K. Funatsu, Applicability Domains and Consistent Structure Generation, Molecular Informatics, 2017 on line.<\/li>\n
    25. Escobar, H. Kaneko, K. Funatsu, On Generative Topographic Mapping and Graph Theory combined approach for unsupervised non-linear data visualization and fault identification, Computers and Chemical Engineering, 98, 113\u2013127, 2017.<\/li>\n
    26. Funatsu, Soft Sensors: Chemoinformatic Model for Efficient Control and Operation in Chemical Plants, Molecular Informatics, 35, 549-554, 2016.<\/li>\n
    27. Takeda, H. Kaneko, K. Funatsu, Chemical-space-based de novo design method to generate drug-like molecules, Journal of Chemical Information and Modeling, 56, 1885-1893, 2016.<\/li>\n
    28. Kaneko, K. Funatsu, Ensemble Locally-weighted Partial Least Squares as a Just-in-time Modeling Method, AIChE Journal<\/em>, 62<\/strong>, 717-725, 2016.<\/li>\n
    29. Shibayama, H. Kaneko, K. Funatsu, Iterative Optimization Technology Combined with Wavelength Selection Based on Excess Absorption for a Process Analytical Technology Calibration-Minimum Approach, Chemometrics and Intelligent Laboratory Systems, 156, 137-147, 2016.<\/li>\n
    30. Miyao, H. Kaneko, K. Funatsu, Ring System-based Chemical Graph Generation for de novo Molecular Design, Journal of Computer-Aided Molecular Design, 30, 425-446, 2016.<\/li>\n
    31. Shibayama, H. Kaneko, K. Funatsu, A Novel Calibration-Minimum Method for Prediction of Mole Fraction in Non-Ideal Mixture, AAPS PharmSciTech, 1-10, 2016.<\/li>\n
    32. Nakao, H. Kaneko, K. Funatsu, Development of an Adaptive Experimental Design Method Based on Probability of Achieving a Target Range through Parallel Experiments, Industrial & Engineering Chemistry Research, 55(19), 5726-5735, 2016.<\/li>\n
    33. Kaneko, K. Funatsu, Preparation of Comprehensive Data from Huge Data Sets for Predictive Soft Sensors, Chemometrics and Intelligent Laboratory Systems, 153, 75-81, 2016.<\/li>\n
    34. Miyao, H. Kaneko, K. Funatsu, Inverse QSPR\/QSAR Analysis for Chemical Structure Generation (from y to x), Journal of Chemical Information and Modeling<\/em>, 56<\/strong>(2), 286-299, 2016.<\/li>\n
    35. Kaneko, K. Funatsu, Preparation of Comprehensive Data from Huge Data Sets for Predictive Soft Sensors, Chemometrics and Intelligent Laboratory Systems<\/em>, 153, 75-81, 2016.<\/li>\n
    36. Tomoyuki Miyao, Daniel Reker, Petra Schneider, Kimito Funatsu, Gisbert Schneider, Chemography of Natural Product Space, Planta Med., 86, 429-435, 2015.<\/li>\n
    37. Kaneko, K. Funatsu, Moving Window and Just-In-Time Soft Sensor Model Based on Time Differences Considering a Small Number of Measurements, Industrial & Engineering Chemistry Research<\/em>, 54<\/strong>(2), 700-704, 2015.<\/li>\n
    38. Kaneko, K. Funatsu, Fast Optimization of Hyperparameters for Support Vector Regression Models with Highly Predictive Ability, Chemometrics and Intelligent Laboratory Systems<\/em>, 142<\/strong>, 64-69, 2015.<\/li>\n
    39. Kaneko, K. Funatsu, Strategy of Structure Generation within Applicability Domains with One-Class Support Vector Machine, Bulletin of the Chemical Society of Japan<\/em>, 88<\/strong>(7), 981-988, 2015.<\/li>\n
    40. Kaneko, K. Funatsu, Adaptive Database Management Based on the Database Monitoring Index for Long-term Use of Adaptive Soft Sensors, Chemometrics and Intelligent Laboratory Systems<\/em>, 146<\/strong>, 179-185, 2015.<\/li>\n
    41. Kaneko, K. Funatsu, Classification of Drug Tablets Using Hyperspectral Imaging and Wavelength Selection with a GAWLS Method Modified for Classification, International Journal of Pharmaceutics<\/em>, 491<\/strong>(1-2), 130-135, 2015.<\/li>\n
    42. Oishi, H. Kaneko, K. Funatsu, Adaptive Model and Model Selection for Long-term Transmembrane Pressure Prediction in Membrane Bioreactors, Journal of Membrane Science<\/em>, 494<\/strong>, 86-91, 2015.<\/li>\n
    43. \u7530\u4e2d \u5065\u4e00, \u91d1\u5b50 \u5f18\u660c, \u8239\u6d25 \u516c\u4eba, \u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u66f4\u65b0\u306b\u3088\u308bJust-In-Time\u30e2\u30c7\u30eb\u306e\u4e88\u6e2c\u7cbe\u5ea6\u306e\u6539\u5584, Journal of Computer Aided Chemistry<\/em>, 16<\/strong>(1), 1-14, 2015. <\/em><\/li>\n
    44. Kaneko, K. Funatsu, Data Density-Based Fault Detection and Diagnosis with Nonlinearities between Variables and Multimodal Data Distributions, Chemometrics and Intelligent Laboratory Systems<\/em>, 14<\/strong>, 58-65, 2015.<\/li>\n
    45. Kaneko, K. Muteki, K. Funatsu, Improvement of Iterative Optimization Technology (for Process Analytical Technology Calibration-Free\/ Minimum Approach) with Dimensionality Reduction and Wavelength Selection of Spectra, Chemometrics and Intelligent Laboratory Systems<\/em>, 147<\/strong>, 176-184, 2015.<\/em><\/li>\n
    46. Kaneko, K. Funatsu, Smoothing-combined Soft Sensors for Noise Reduction and Improvement of Predictive Ability, Industrial & Engineering Chemistry Research<\/em>, 54<\/strong>(50), 12630-12638, 2015.<\/li>\n
    47. Hiromasa Kaneko and Kimito Funatsu, Fast Optimization of Hyperparameters for Support Vector Regression Models with Highly Predictive Ability, Chemometrics and Intelligent Laboratory Systems, 142, 64\u201369, 2015.<\/li>\n
    48. \u6728\u6751\u4e00\u5e73, \u91d1\u5b50\u5f18\u660c, \u8239\u6d25\u516c\u4eba, \u30bd\u30d5\u30c8\u30bb\u30f3\u30b5\u30fc\u3068\u305d\u306e\u9006\u89e3\u6790\u3092\u5229\u7528\u3057\u305f\u65b0\u898f\u30d5\u30a3\u30fc\u30c9\u30d5\u30a9\u30ef\u30fc\u30c9\u5236\u5fa1\u624b\u6cd5\u306e\u958b\u767a, \u5316\u5b66\u5de5\u5b66\u8ad6\u6587\u96c6, 41(1), 29-37. 2015.<\/li>\n
    49. Matheus de Souza Escobar, Hiromasa Kaneko and Kimito Funatsu, Combined Generative Topographic Mapping and Graph Theory Unsupervised Approach for Non-linear Fault Identification, AIChE Journal<\/em>, 61<\/strong>(5), 1559-1571, 2015.<\/li>\n
    50. Kiyoshi Hasegawa, Kimito Funatsu, L-Shaped PLS Analysis of Multiple Inhibitory Activities of Adrenergic Alpha Receptors Using Ligand and Protein Matrices, Chemometrics and Intelligent Laboratory Systems<\/em>, 130, 166-171, 2014.<\/li>\n
    51. Hasegawa, K. Funatsu, Prediction of Protein-Protein Interaction Pocket Using L-Shaped PLS Approach and Its Visualizations by Generative Topographic Mapping, Molecular Informatics, 65-72, 2014.<\/li>\n
    52. Kaneko, K. Funatsu, Application of Online Support Vector Regression for Soft Sensors, AIChE Journal, 60(2), 600-612, 2014.<\/li>\n
    53. \u83c5\u9593 \u5e78\u53f8, \u91d1\u5b50 \u5f18\u660c, \u8239\u6d25 \u516c\u4eba, \u9ad8\u7cbe\u5ea6\u306aNear-Infrared Spectroscopy\u30e2\u30c7\u30eb\u69cb\u7bc9\u3092\u76ee\u6307\u3057\u305f\u65b0\u898f\u30b9\u30da\u30af\u30c8\u30eb\u89e3\u6790\u624b\u6cd5\u306e\u958b\u767a, Journal of Computer Aided Chemistry, 15(1), 1-9, 2014.<\/li>\n
    54. Hasegawa, K. Funatsu, Generative Topographic Mapping of Binding Pocket of beta2 Receptor and 3-Way PLS Modeling of Inhibitory Activities, Journal of Chemometrics, <\/strong>28(9), 696-703, 2014.<\/li>\n
    55. hasegawa, K. Kimito, Application of Orthogonal L-shaped PLS to Chemogenomics Data and Its Chemical Interpretation from Predictive and Orthogonal Regression Coefficients, Chemometrics and Intelligent Laboratory Systems<\/em>, 139, 64\uff0d69, 2014.<\/li>\n
    56. S. Escobar, H. Kaneko, K. Funatsu, Flour concentration prediction using GAPLS and GAWLS focused on data sampling issues and applicability domain, Chemometrics and Intelligent Laboratory Systems<\/em>, 137, 33-46, 2014.<\/li>\n
    57. Kaneko, K. Funatsu, Adaptive Soft Sensor Based on Online Support Vector Regression and Bayesian Ensemble Learning for Various States in Chemical Plants, Chemometrics and Intelligent Laboratory Systems<\/em>, 137, 57-66, 2014.<\/li>\n
    58. Kaneko, Takeshi Okada and K. Funatsu, Selective Use of Adaptive Soft Sensors Based on Process State, Industrial & Engineering Chemistry Research<\/em>, 53(41), 15962-15968, 2014.<\/li>\n
    59. Miyao, H. Kaneko, K. Funatsu, Ring-System-Based Exhaustive Structure Generation for Inverse-QSPR\/QSAR, Molecular Informatics, 33(11-12), 764-778, 2014.<\/li>\n
    60. Hasegawa, K. Funatsu, Data Mining of Chemogenomics Data Using Bi-Modal PLS Methods and Chemical Interpretation for Molecular Design, Molecular Informatics, 33,2-10,2014.<\/li>\n
    61. Mishima, H. Kaneko, K. Funatsu, Development of a New de Novo Design Algorithm for Exploring Chemical Space, Molecular Informatics, 33(11-12), 779-789, 2014.<\/li>\n
    62. Hasegawa, K. Funatsu, Multivariate Analysis of Side Effects of Drug Molecules Based on Knowledge of Protein Bindings and Protein-Protein Interactions, Molecular Informatics, 33,757-763, 2014.<\/li>\n
    63. Hasegawa, K. Funatsu, Data Mining of Chemogenomics Data Using Bi-Modal PLS Methods and Chemical Interpretation for Molecular Design, Molecular Informatics, 33,749-756, 2014.<\/li>\n
    64. Kaneko, K. Funatsu, Applicability Domain Based on Ensemble Learning in Classification and Regression Analyses, Journal of Chemical Information and Modeling, 54(9), 2469-2482, 2014<\/li>\n
    65. Masuda, H. Kaneko, K. Funatsu, Multivariate Statistical Process Control Method Including Soft Sensors for Both Early and Accurate Fault Detection, Industrial & Engineering Chemistry Research, 53(20), 8533-8564, 2014.<\/li>\n
    66. Kaneko, K. Funatsu, Application of Online Support Vector Regression for Soft Sensors, AIChE Journal, 60(2), 600-612, 2014.<\/li>\n
    67. Kaneko, K. Funatsu, Database Monitoring Index for Adaptive Soft Sensors and the Application to Industrial Process, AIChE Journal, 60(1), 160-169, 2014.<\/li>\n
    68. Kaneko, K. Funatsu, Model for Predicting Transmembrane Pressure Jump for Various Membrane Bioreactors, Desalination and Water Treatment, 52<\/strong>(1), 1-11, 2014. <\/em><\/li>\n
    69. Kaneko, K. Funatsu, Analysis of a Transmembrane Pressure (TMP) Jump Prediction Model for Preventing TMP Jumps, Desalination and Water Treatment, 53<\/strong>(1), 1-6, 2014.<\/li>\n
    70. Kaneko, K. Funatsu, Adaptive Soft Sensor Model Using Online Support Vector Regression with the Time Variable and Discussion on Appropriate Hyperparameters and Window Size, Computers & Chemical Engineering, 58(1), 288-297, 2013.<\/li>\n
    71. \u91d1\u5b50 \u5f18\u660c, \u8239\u6d25 \u516c\u4eba, \u30d7\u30ed\u30bb\u30b9\u306e\u52d5\u7279\u6027\u3092\u8003\u616e\u3057\u305f\u975e\u7dda\u578b\u30bd\u30d5\u30c8\u30bb\u30f3\u30b5\u30fc\u624b\u6cd5\u306e\u958b\u767a, \u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u8ad6\u6587\u96c6<\/em>, 49<\/strong>(2), 1-8, 2013.<\/li>\n
    72. Kaneko, K. Funatsu, Nonlinear Regression Method with Variable Region Selection and Application to Soft Sensors, Chemometrics and Intelligent Laboratory Systems<\/em>, 121<\/strong>, 26-32, 2013.<\/li>\n
    73. Kaneko, K. Funatsu, Physical and Statistical Model for Predicting a Transmembrane Pressure Jump for a Membrane Bioreactor, Chemometrics and Intelligent Laboratory Systems<\/em>, 121<\/strong>, 66-74, 2013.<\/li>\n
    74. Kaneko, K. Funatsu, Automatic Determination Method Based on Cross-validation for Optimal Intervals of Time Difference, Journal of Chemical Engineering of Japan<\/em>, 46<\/strong>(3), 1-7, 2013.<\/li>\n
    75. Kaneko, K. Funatsu, Discussion on Time Difference Models and Intervals of Time Difference for Application of Soft Sensors, Industrial & Engineering Chemistry Research<\/em>, 52<\/strong>(3), 1322-1334, 2013.<\/li>\n
    76. \u4e09\u5cf6 \u548c\u6643, \u91d1\u5b50 \u5f18\u660c, \u8239\u6d25 \u516c\u4eba, \u4e88\u6e2c\u6027\u3092\u8003\u616e\u3057\u305f\u65b0\u898f\u56de\u5e30\u5206\u6790\u624b\u6cd5\u306e\u958b\u767a\u304a\u3088\u3073\u4e8c\u9178\u5316\u70ad\u7d20\u5206\u96e2\u56de\u53ce\u306b\u7528\u3044\u308b\u30a2\u30df\u30f3\u5316\u5408\u7269\u306e\u5206\u5b50\u8a2d\u8a08, Journal of Computer Aided Chemistry<\/em>, 14<\/strong>(1), 1-10, 2013.<\/li>\n
    77. Kaneko, K. Funatsu, Classification of the Degradation of Soft Sensor Models and Discussion on Adaptive Models, AIChE Journal<\/em>, 59<\/strong>(7), 2339-2347, 2013.<\/li>\n
    78. Kaneko, K. Funatsu, Applicability Domain of Soft Sensor Models Based on One-Class Support Vector Machine, AIChE Journal<\/em>, 59<\/strong>(6), 2046-2050, 2013.<\/li>\n
    79. Kaneko, K. Funatsu, Discussion on Time Difference Models and Intervals of Time Difference for Application of Soft Sensors, Industrial & Engineering Chemistry Research<\/em>, 52<\/strong>(3), 1322-1334, 2013. DOI: 10.1021\/ie302582v<\/li>\n
    80. \u4e09\u5cf6 \u548c\u6643, \u91d1\u5b50 \u5f18\u660c, \u8239\u6d25 \u516c\u4eba, \u4e88\u6e2c\u6027\u3092\u8003\u616e\u3057\u305f\u65b0\u898f\u56de\u5e30\u5206\u6790\u624b\u6cd5\u306e\u958b\u767a\u304a\u3088\u3073\u4e8c\u9178\u5316\u70ad\u7d20\u5206\u96e2\u56de\u53ce\u306b\u7528\u3044\u308b\u30a2\u30df\u30f3\u5316\u5408\u7269\u306e\u5206\u5b50\u8a2d\u8a08, Journal of Computer Aided Chemistry<\/em>, 14<\/strong>(1), 1-10, 2013.<\/li>\n
    81. \u5cb8\u5c3e \u62d3\u5f25, \u91d1\u5b50 \u5f18\u660c, \u8239\u6d25 \u516c\u4eba, \u52b9\u7387\u7684\u306a\u6750\u6599\u8a2d\u8a08\u306e\u305f\u3081\u306e\u6226\u7565\u7684\u306a\u5b9f\u9a13\u30d1\u30e9\u30e1\u30fc\u30bf\u6c7a\u5b9a\u624b\u6cd5\u306e\u958b\u767a, Journal of Computer Chemistry, Japan<\/em>, 12<\/strong>(2), 113-121, 2013.<\/li>\n
    82. Kaneko, K. Funatsu, A chemometric approach to prediction of transmembrane pressure in membrane bioreactors, Chemometrics and Intelligent Laboratory Systems<\/em>, 126<\/strong>(1), 30-37, 2013.<\/li>\n
    83. \u91d1\u5b50 \u5f18\u660c, \u8239\u6d25 \u516c\u4eba, \u30bd\u30d5\u30c8\u30bb\u30f3\u30b5\u30fc\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u7ba1\u7406\u6307\u6a19\u306e\u958b\u767a, Journal of Computer Aided Chemistry<\/em>, 14<\/strong>(1), 11-22, 2013.<\/li>\n
    84. Kishio, H. Kaneko, K. Funatsu, Strategic Parameter Search Method Based on Prediction Errors and Data Density for Efficient Product Design, Chemometrics and Intelligent Laboratory Systems<\/em>, 127<\/strong>(1), 70-79, 2013.<\/li>\n
    85. Kaneko, K. Funatsu, Adaptive Soft Sensor Model Using Online Support Vector Regression with the Time Variable and Discussion on Appropriate Hyperparameters and Window Size, Computers & Chemical Engineering<\/em>, 58<\/strong>, 288-297, 2013.<\/em><\/li>\n
    86. Kaneko, K. Funatsu, Estimation of Predictive Accuracy of Soft Sensor Models Based on Data Density, Chemometrics and Intelligent Laboratory Systems<\/em>, 128<\/strong>, 111-117, 2013.<\/li>\n
    87. Kaneko, K. Funatsu, Adaptive Soft Sensor Model Using Online Support Vector Regression with the Time Variable and Discussion on Appropriate Hyperparameters and Window Size, Computers & Chemical Engineering<\/em>, 58<\/strong>, 288-297, 2013.<\/em><\/li>\n
    88. Kaneko, K. Funatsu, Adaptive soft sensor model using online support vector regression with time variable and discussion of appropriate parameter settings, Procedia Computer Science, 22, 580-589, 2013.<\/li>\n
    89. Kaneko, K. Funatsu, Criterion for Evaluating the Predictive Ability of Nonlinear Regression Models without Cross-Validation, Journal of Chemical Information and Modeling<\/em>, 53(9), 2341-2348, 2013.<\/li>\n
    90. \u5ca1\u7530 \u525b\u55e3, \u91d1\u5b50 \u5f18\u660c, \u8239\u6d25 \u516c\u4eba\u3001\u30e2\u30c7\u30eb\u4fe1\u983c\u6027\u3092\u8003\u616e\u3057\u305f\u9069\u5fdc\u7684\u30bd\u30d5\u30c8\u30bb\u30f3\u30b5\u30fc\u624b\u6cd5\u306e\u958b\u767a\u3001Journal of Computer Chemistry, Japan, 11, 24-30 (2012).<\/li>\n
    91. \u91d1\u5b50\u5f18\u660c\u3001\u8239\u6d25\u516c\u4eba\u3001\u6ce2\u9577\u9818\u57df\u9078\u629e\u624b\u6cd5\u3092\u5fdc\u7528\u3057\u305f\u30bd\u30d5\u30c8\u30bb\u30f3\u30b5\u30fc\u624b\u6cd5\u306e\u958b\u767a\u3001Journal of Computer Chemistry, Japan, 11, 31-42 (2012).<\/li>\n
    92. \u6210 \u656c\u6a21, \u91d1\u5b50 \u5f18\u660c, \u8239\u6d25 \u516c\u4eba\u3001\u819c\u5206\u96e2\u6d3b\u6027\u6c5a\u6ce5\u6cd5\u306b\u304a\u3051\u308b\u9577\u671f\u7684\u819c\u5dee\u5727\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/a>\u3001<\/strong> Comput.-Aided Chem., 13, 10-16 (2012).<\/li>\n
    93. Kaneko, K. Funatsu, Development of High Predictive Soft Sensor Method and the Application to Industrial Polymer Processes, Asia-Pacific Journal of Chemical Engineering<\/em>, 7<\/strong>(S1), S39-S47, 2012.<\/li>\n
    94. Kaneko, K. Funatsu, A New Process Variable and Dynamics Selection Method Based on a Genetic Algorithm-based Wavelength Selection Method, AIChE Journal, <\/em>58<\/strong>(6), 1829-1840, 2012.<\/li>\n
    95. \u91d1\u6cf0\u4ea8\u3001\u91d1\u5b50\u5f18\u660c\u3001\u5c71\u57ce\u76f4\u4e5f\u3001\u8239\u6d25\u516c\u4eba\u3001\u5206\u96e2\u30d7\u30ed\u30bb\u30b9\u306b\u304a\u3044\u3066\u4efb\u610f\u306b\u5727\u529b\u4e0b\u3067\u5171\u6cb8\u6709\u7121\u306e\u4e88\u6e2c\u3092\u304a\u3053\u306a\u3046\u7d71\u8a08\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u3001Journal of Computer Chemistry, Japan, 11, 112-120 (2012).<\/li>\n
    96. Kaneko, K. Funatsu, Visualization of Models Predicting Transmembrane Pressure Jump for Membrane Bioreactor, Industrial & Engineering Chemistry Research<\/em>, 51<\/strong>(28), 9679-9686,(2012).<\/li>\n
    97. Kaneko, S. Inasawa, N. Morimoto, M. Nakamura, H. Inokuchi, Y. Yamaguchi, K. Funatsu, Statistical Approach to Constructing Predictive Models for Thermal Resistance Based on Operating Conditions, Industrial & Engineering Chemistry Research<\/em>. , 51<\/strong>(29), 9906-9912(2012).<\/li>\n
    98. \u91d1\u5b50\u5f18\u660c\u3001\u8239\u6d25\u516c\u4eba\u3001\u6642\u9593\u5dee\u5206\u306b\u57fa\u3065\u304f\u30bd\u30d5\u30c8\u30bb\u30f3\u30b5\u30fc\u624b\u6cd5\u306e\u8003\u5bdf\u304a\u3088\u3073\u6642\u9593\u5dee\u5206\u9593\u9694\u306e\u691c\u8a0e\u3001Journal of Computer Aided Chemistry<\/em>, 13<\/strong>(1), 29-43(2012).<\/li>\n
    99. Hasegawa, K. Funatsu, A New Method for Mapping the Molecular Surface of a Protein Structure Using a Spherical Self-Organizing Map, Mol. Inf., 31, 161-166 (2012).<\/li>\n
    100. Hasegawa, K. Funatsu, New Description of Protein-Ligand Interactions Using a Spherical Self-Organizing Map, Bioorganic & Medicinal Chemistry, 20, 5410-5415 (2012)<\/li>\n
    101. \u8352\u5ddd\u6b63\u5e79\u3001\u8239\u6d25\u516c\u4eba\u3001\u5909\u7570\u539f\u6027\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9 – Ames\u8a66\u9a13\u30c7\u30fc\u30bf\u306e\u691c\u8a3c\u3001Journal of Computer Aided Chemistry<\/em>, 13<\/strong>, 20-28(2012).<\/li>\n
    102. \u9577\u8c37\u5ddd\u6e05\u3001\u8239\u6d25\u516c\u4eba\u3001\u69cb\u9020\u767a\u751f\u3068\u5316\u5b66\u7a7a\u9593\u56f3\u793a\u3092\u7d50\u3073\u4ed8\u3051\u305f\u85ac\u7269\u8a2d\u8a08\u306e\u305f\u3081\u306e\u7d71\u5408\u30c4\u30fc\u30eb\u3001 Journal of Computer Aided Chemistry<\/em>, 13<\/strong>, 1-9(2012).<\/li>\n
    103. \u6210 \u656c\u6a21, \u91d1\u5b50 \u5f18\u660c, \u8239\u6d25 \u516c\u4eba\u3001\u819c\u5206\u96e2\u6d3b\u6027\u6c5a\u6ce5\u6cd5\u306b\u304a\u3051\u308b\u9577\u671f\u7684\u819c\u5dee\u5727\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u3001Journal of Computer Aided Chemistry<\/em>, 13<\/strong>, 10-19(2012).<\/li>\n
    104. Hasegawa, K. Funatsu, Evolution of PLS for Modeling SAR and omics Data, 31, 766\u2013775<\/a>, 2012.<\/li>\n
    105. Kimito Funatsu, Tomoyuki Miyao, Masamoto Arakawa, Systematic Generation of Chemical Structure for Rational Drug Design Based on QSAR Models, Current Computer-Aided Drug Design, 7, 1-9 (2011).<\/li>\n
    106. Masamoto Arakawaa, Yosuke Yamashita and Kimito Funatsu, Genetic algorithm-based wavelength selection method for spectral calibration, Chemometrics , 25, 10\u201319 (2011)<\/li>\n
    107. Hiromasa Kaneko, Masamoto Arakawa, Kimito Funatsu, Novel Soft Sensor Method for Detecting Completion of Transition in Industrial Polymer Processes, Computers & Chemical Engineering, 35, 1135-1142 (2011).<\/li>\n
    108. \u524d\u7530\u7950\u5e0c\u3001\u8239\u6d25\u516c\u4eba\u3001\u6db2\u4f53\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u304a\u3088\u3073\u7d71\u8a08\u624b\u6cd5\u3092\u7528\u3044\u305f\u5149\u96fb\u6975\u306b\u3088\u308b\u6c34\u7d20\u88fd\u9020\u88c5\u7f6e\u306e\u8a2d\u8a08\u3001 Comput.-Aided Chem., 12, 1-10 (2011)<\/li>\n
    109. Hiromasa Kaneko, Kimito Funatsu, Maintenance-Free Soft Sensor Models with Time Difference of Process Variables Chemometrics and Intelligent Laboratory Systems, Chemometrics and Intelligent Lab., 107(2), 312-317(2011).<\/li>\n
    110. \u8352\u5ddd\u6b63\u5e79\u3001\u8239\u6d25\u516c\u4eba\u3001\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u5b66\u7fd2\u306b\u3088\u308b\u6709\u6a5f\u5316\u5408\u7269\u306e\u5909\u7570\u539f\u6027\u4e88\u6e2c\u3001 Comput.-Aided Chem., 12, 26-36 (2011)<\/li>\n
    111. \u5c71\u4e0b \u6d0b\u8f14\u3001\u8352\u5ddd \u6b63\u5e79\u3001\u8239\u6d25 \u516c\u4eba\u3001\u8fd1\u8d64\u5916\u30b9\u30da\u30af\u30c8\u30eb\u3092\u7528\u3044\u305f\u679c\u7269\u306e\u5185\u90e8\u54c1\u8cea\u89e3\u6790\u3001 Comput.-Aided Chem., 12, 37-46 (2011)<\/li>\n
    112. \u9577\u8c37\u5ddd\u6e05\u3001\u8239\u6d25\u516c\u4eba\u3001SOMPLS\u6cd5\u306b\u3088\u308b\u30de\u30eb\u30c1\u30bf\u30fc\u30b2\u30c3\u30c8\u69cb\u9020\u6d3b\u6027\u76f8\u95a2\u30e2\u30c7\u30eb\u306e\u56f3\u793a\u5316\u3068\u79d1\u5b66\u7684\u89e3\u91c8\u306b\u95a2\u3059\u308b\u7814\u7a76\u3001 Comput.-Aided Chem., 12, 47-53 (2011).<\/li>\n
    113. Kaneko H., Arakawa M., Funatsu K., Applicability Domains and Accuracy of Prediction of Soft Sensor Models, AIChE Journal, 57(6), 1506-1513 ( 2011).<\/li>\n
    114. Takahiro Takahashi, Noriyuki Fukui, Masamoto Arakawa, Kimito Funatsu, Yoshinori Ema, An Automatic System Using Mobile-Agent Software to Model the Calculation Process of a Chemical Vapor Deposition Film Deposition Simulator, Journal of Nanoscience and Nanotechnology, 11, 8004\u20138008, (2011).<\/li>\n
    115. \u5c71\u53e3\u8015\u592a\u3001\u84b2\u539f\u5f18\u7d99\u3001\u5f8c\u85e4\u5c1a\u5f18\u3001\u7a32\u5409\u8fb0\u592b\u3001\u8352\u5ddd\u6b63\u5e79\u3001\u8239\u6d25\u516c\u4eba\u3001\u85e4\u6c5f\u5e78\u4e00\u3001\u518d\u751f\u74e6\u88fd\u9020\u30b7\u30b9\u30c6\u30e0\u306e\u5c0e\u5165\u306b\u3088\u308b\u74b0\u5883\u8ca0\u8377\u4f4e\u6e1b\u52b9\u679c\u306e\u8a55\u4fa1\u3001\u5ec3\u68c4\u7269\u8cc7\u6e90\u5faa\u74b0\u5b66\u4f1a\u8ad6\u6587\u8a8c\u300122,306-313 (2011).<\/li>\n
    116. \u91d1\u5b50\u5f18\u660c\u3001\u8239\u6d25\u516c\u4eba\u3001Genetic Algorithm-based WaveLength Selection\u3068Support Vector Regression\u3092\u7d44\u307f\u5408\u308f\u305b\u305f\u5909\u6570\u9818\u57df\u9078\u629e\u624b\u6cd5\u306e\u958b\u767a<\/a>\u3001Journal of Computer Chemistry, Japan,10, 122-130 (2011).<\/li>\n
    117. \u91d1\u5b50\u5f18\u660c\u3001\u8239\u6d25\u516c\u4eba\u3001Membrane Bioreactor\u306b\u304a\u3051\u308b\u819c\u5dee\u5727\u4e88\u6e2c\u30e2\u30c7\u30eb\u69cb\u7bc9\u624b\u6cd5\u306e\u958b\u767a<\/a>, Journal of Computer Chemistry, Japan, 10, 131-140 (2011).<\/li>\n
    118. Miyao, M. Arakawa, K. Funatsu, Exhaustive Structure Generation for Inverse-QSPR\/QSAR, Molecular Informatics, 29, 111-125, (2010).<\/li>\n
    119. Kiyoshi Hasegawa, Michio Koyama, Kimito Funatsu, Quantitative Prediction of Regioselectivity Toward Cytochrome P450\/3A4 Using Machine Learning Approaches, Mol. Inf., 29, 243-249 (2010).<\/li>\n
    120. \u9577\u8c37\u5ddd \u6e05, \u8239\u6d25 \u516c\u4eba\u3001Cytochrome P450 3A4\u306b\u5bfe\u3059\u308b\u57fa\u8cea\/\u975e\u57fa\u8cea\u306e\u30d9\u30a4\u30ba\u5206\u985e\u3068\u5316\u5b66\u7684\u89e3\u91c8\u306e\u305f\u3081\u306e\u30ab\u30e9\u30fc\u30de\u30c3\u30d4\u30f3\u30b0\u3001 Comput.-Aided Chem., 11, 19-24 (2010).<\/li>\n
    121. \u8352\u5ddd \u6b63\u5e79, \u6b63\u7530 \u5e78, \u8239\u6d25 \u516c\u4eba\u3001\u5206\u5b50\u69cb\u9020\u91cd\u306d\u5408\u308f\u305b\u306b\u3088\u308b\u30d5\u30a1\u30fc\u30de\u30b3\u30d5\u30a9\u30a2\u30e2\u30c7\u30eb\u69cb\u7bc9\u624b\u6cd5\u306e\u958b\u767a\u3068PDE4\u963b\u5bb3\u5264\u3078\u306e\u5fdc\u7528\u3001 Comput.-Aided Chem., 11, 44-55 (2010).<\/li>\n
    122. \u9577\u8c37\u5ddd\u3000\u6e05\u3001\u8239\u6d25\u3000\u516c\u4eba\u3001\u56f3\u793a\u5316\u3068\u5316\u5b66\u7684\u89e3\u91c8\u306b\u7279\u5316\u3057\u305f\u65b0\u3057\u3044\uff30\uff2c\uff33\u624b\u6cd5\u3000\uff0d\u3000\u30bb\u30ea\u30f3\u30d7\u30ed\u30c6\u30a2\u30fc\u30bc\u963b\u5bb3\u5264\u3068\uff30\uff24\uff25\uff14\u963b\u5bb3\u5264\u3078\u306e\u5fdc\u7528\u3001 Comput.-Aided Chem., 11, 56-61 (2010).<\/li>\n
    123. Kiyoshi Hasegawa, Kimito Funatsu, Advanced PLS Technique Focusing on Visualization and Chemical Interpretation \u2013SOMPLS Analysis of Serine Protease Inhibitors-\u3001 Comput.-Aided Chem., 11, 56-61 (2010).<\/li>\n
    124. Kiyoshi Hasegawa, Kimito Funatsu, Non-liear Modeling and Chemical Interpretation with Aid of Support Vector Machine and Regression, Current Computer-Aided Drug Design, 6, 24-36 (2010).<\/li>\n
    125. Kiyoshi Hasegawa, Kimito Funatsu, Advanced PLS Techniques in Chemoinformatics Studies, Current Computer-Aided Drug Design, 6, 103-127 (2010).<\/li>\n
    126. Kiyoshi Hasegawa, Migita Keiya, Kimito Funatsu, Visualization of Molecular Selectivity and Structure Generation for Selective Dopamine Inhibitor, Mol. Inf., 29, 793-800 (2010).<\/li>\n
    127. Lea da Silva Veras, Masamoto Arakawa, Kimito Funatsu, Yuji Takahata, 2D and 3D QSAR Studies of the Receptor Binding Affinity of Progestins, Braz. Chem. Soc., Vol. 21, No. 5, 872-881 (2010).<\/li>\n
    128. \u91d1\u5b50\u5f18\u660c\u3001\u8352\u5ddd\u6b63\u5e79\u3001\u8239\u6d25\u516c\u4eba\u3001\u9ad8\u7cbe\u5ea6\u30bd\u30d5\u30c8\u30c7\u30f3\u30b5\u30fc\u958b\u767a\u306e\u305f\u3081\u306e\u72ec\u7acb\u6210\u5206\u5206\u6790\u3068\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u3092\u7d44\u307f\u5408\u308f\u305b\u305f\u65b0\u898f\u7570\u5e38\u5024\u691c\u51fa\u624b\u6cd5\u306e\u958b\u767a\u3001\u5316\u5b66\u5de5\u5b66\u4f1a\u8ad6\u6587\u8a8c\u300135\u3001382-389 (2009).<\/li>\n
    129. \u9577\u8c37\u5ddd\u6e05\u3001\u6728\u6751\u654f\u90ce\u3001\u8239\u6d25\u516c\u4eba\u3001\u9032\u5316\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u5229\u7528\u3057\u305fQSAR\u9006\u8a2d\u8a08\u3001 Comput.-Aided Chem., 10, 10-15 (2009).<\/li>\n
    130. \u5f8c\u85e4\u4fca\u3001\u8352\u5ddd\u6b63\u5e79\u3001\u8239\u6d25\u516c\u4eba\u3001\u30dd\u30ea\u30de\u30fc\u8a2d\u8a08\u306e\u305f\u3081\u306e\u7269\u6027\u63a8\u7b97\u6cd5\u3068\u9006\u89e3\u6790\u624b\u6cd5\u306e\u958b\u767a\u3001 Comput.-Aided Chem., 10, 30-37 (2009).<\/li>\n
    131. \u5b89\u85e4 \u6b63\u54c9, \u8352\u5ddd \u6b63\u5e79, \u8239\u6d25 \u516c\u4eba\u3001\u53ef\u8996\u304a\u3088\u3073\u8fd1\u8d64\u5916\u30b9\u30da\u30af\u30c8\u30eb\u3092\u7528\u3044\u305f\u571f\u58cc\u6210\u5206\u5024\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u3001 Comput.-Aided Chem.,10, 53-62 (2009).<\/li>\n
    132. \u5c71\u57ce\u76f4\u54c9\u3001\u5bae\u5c3e\u667a\u5e78\u3001\u8352\u5ddd\u6b63\u5e79\u3001\u8239\u6d25\u516c\u4eba\u3001\u4e8c\u9178\u5316\u70ad\u7d20\u5438\u53ce\u306e\u305f\u3081\u306e\u30a2\u30eb\u30ab\u30ce\u30fc\u30eb\u30a2\u30df\u30f3\u69cb\u9020\u306e\u8a2d\u8a08\u3001 Comput.-Aided Chem., 10, 96-103 (2009).<\/li>\n
    133. Hasegawa, M. Koyama, M. Arakawa, K. Funatsu, Application of data mining to quantitative structure-activity relationship using rough set theory, J. Chemometrics and Intelligent Lab., 99, 66-70 (2009).<\/li>\n
    134. Kaneko H., Arakawa M. , Funatsu K., \u300cDevelopment of a New Soft Sensor Method Using Independent Component Analysis and Partial Least Squares\u300d, AIChE Journal, 55(1), 87-98 ( 2009).<\/li>\n
    135. \u5bae\u5c3e\u667a\u5e78\u3001\u8352\u5ddd\u6b63\u5e79\u3001\u8239\u6d25\u516c\u4eba\u3001\u7206\u767a\u7269\u691c\u51fa\u306b\u304a\u3051\u308b\u7d71\u5408\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u3001\u5b89\u5168\u5de5\u5b66\u300149, 11-19 (2010).<\/li>\n
    136. \u6a58\u7adc\u4e00\u3001\u71b1\u7530\u967d\u4e00\u3001\u5f8c\u85e4\u5c1a\u5f18\u3001\u8352\u5ddd\u6b63\u5e79\u3001\u8239\u6d25\u516c\u4eba\u3001\u85e4\u6c5f\u5e78\u4e00\u3001\u30d0\u30a4\u30aa\u30de\u30b9\u30fb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u8a2d\u8a08\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u201dAB-NET\u201d\u306e\u958b\u767a\u3001\u74b0\u5883\u5316\u5b66\u4f1a\u8a8c\u300122\u3001257\uff0d269\uff082009\uff09.<\/li>\n
    137. \u7530\u4e2d \u7ae0\u592b, \u6cb3\u5408 \u9686, \u9ad8\u7560 \u54f2\u5f66, \u5ca1\u672c \u79c0\u7a57, \u8239\u6d25\u516c\u4eba\u3001\u30de\u30eb\u30b3\u30e0 \u30d0\u30fc\u30bd\u30f3\u3001\u5408\u6210\u53cd\u5fdc\u8a2d\u8a08\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u9006\u5408\u6210\u7684\u306b\u91cd\u8981\u306a\u7d50\u5408\u306b\u7279\u5316\u3057\u305f\u9078\u629e\u7684\u30eb\u30fc\u30c8\u63a2\u7d22\u624b\u6cd5\u3001 Comput.-Aided Chem., 10, 104-117 (2009).<\/li>\n
    138. Kaneko, M. Arakawa, K. Funatsu, Development of The New Regression Analysis Method Using Independent Component Analysis, J. Chem. Inf. Modell., 48, 534-541 (2008).<\/li>\n
    139. Arakawa, K. Hasegawa, K. Funatsu, Tailored Scoring Function of Trypsin-Benzamidine Complex Using COMBINE Descriptors and Support Vector Regression, J. Chemometrics and Intelligent Lab., 92, 145-151 (2008).<\/li>\n
    140. Kaneko, M. Arakawa, K. Funatsu, Development of a New Soft Sensor Method Using Independent Component Analysis and Partial Least Squares, AIChE Journal <\/em>, 55(1), 87-98 (2008).<\/li>\n
    141. Akio Tanaka, Takashi Kawai, Mihoko Fujii, Tsutomu Matsumoto, Tetsuhiko Takabatake, Hideho Okamoto, Kimito Funatsu, Molecular centrality for synthetic design of convergent reactions, Tetrahedron, 64(20), 4602-4612 (2008).<\/li>\n
    142. \u9577\u8c37\u5ddd \u6e05, \u5149\u5c71 \u502b\u592e, \u8352\u5ddd \u6b63\u5e79, \u8239\u6d25 \u516c\u4eba,\u3001Rough Set Theory\u306b\u3088\u308b\u30eb\u30fc\u30eb\u30de\u30a4\u30cb\u30f3\u30b0\u3068\u69cb\u9020\u6d3b\u6027\u76f8\u95a2\u3078\u306e\u5fdc\u7528\u3001 Comput.-Aided Chem., 9, 1-7 (2008).<\/li>\n
    143. Akio Tanaka, Takashi Kawai, Tsutomu Matsumoto, Mihoko Fujii, Tetsuhiko Takabatake, Hideho Okamoto, Kimito Funatsu, Construction of Statistical Evaluation Model based on Molecular Centrality to Find Retro-synthetically Important Bonds in Organic Compounds, European Journal of Organic Chemistry, 5995-6007 (2008).<\/li>\n
    144. \u8352\u5ddd\u6b63\u5e79\u3001\u5bae\u5c3e\u77e5\u5e78\u3001\u8239\u6d25\u516c\u4eba\u3001\u30c9\u30e9\u30c3\u30af\u30e9\u30a4\u30af\u30cd\u30b9\u8a55\u4fa1\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u3068\u305d\u306e\u53ef\u8996\u5316\u3001 Comput.-Aided Chem., 9, 70-80 (2008).<\/li>\n
    145. Koyama, K. Hasegawa, M. Arakawa, K. Funatsu, Application of Rough Set Theory to High Throughput Screening Data for Rational Selection of Lead Compounds, CBI Journal, 8(3), 85-95 (2008).<\/li>\n
    146. Akio Tanaka, Takashi Kawai, Tsutomu Matsumoto, Tetsuhiko Takabatake, Hideho Okamoto, Kimito Funatsu, Development of Evaluation Model for Strategic Sites in Synthetic Route Design System AIPHOS [1], J. Comput.-Aided Chem., Vol.9, 81-91 (2008).<\/li>\n
    147. \u91d1\u5b50\u5f18\u660c\u3001\u8352\u5ddd\u6b63\u5e79\u3001\u8239\u6d25\u516c\u4eba\u3001\u72ec\u7acb\u6210\u5206\u5206\u6790\u3068\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u7528\u3044\u305f\u65b0\u898f\u56de\u5e30\u5206\u6790\u624b\u6cd5\u306e\u958b\u767a\u3001 Comput.-Aided Chem., 8, 41-49 (2007).<\/li>\n
    148. Takahata, M. Arakawa, K. Funatsu, M. C. A. Costa, M. Segala, Core Electron Binding Energy (CEBE) as Descriptors in Quantitative Structure-Activity Relationship (QSAR) Analysis of Cytootxicities of a Series of Simple Phenols, QSAR Comb. Sci. 26, 378-384 (2007).<\/li>\n
    149. \u897f\u6751\u62d3\u6717\u3001\u8239\u6d25\u516c\u4eba\u3001\u6c34\u7d20\u5206\u96e2\u819c\u30e2\u30b8\u30e5\u30fc\u30eb\u306e\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u30b7\u30b9\u30c6\u30e0\u3001 Comput.-Aided Chem., 8, 50-58 (2007).<\/li>\n
    150. \u897f\u6751\u62d3\u6717\u3001\u8239\u6d25\u516c\u4eba\u3001\u30ac\u30b9\u5206\u96e2\u819c\u30e2\u30b8\u30e5\u30fc\u30eb\u306e\u69cb\u9020\u6700\u9069\u5316\u30b7\u30b9\u30c6\u30e0\u3001 Comput.-Aided Chem., 8, 92-102 (2007).<\/li>\n
    151. Arakawa, K. Hasegawa, K. Funatsu, The Recent Trend in QSAR Modeling \u2013Variable Selection and 3D-QSAR methods, Current Computer-Aided Drug Design, 3, 254-262 (2007).<\/li>\n
    152. Gasteiger, K. Funatsu, Chemoinformatics \u2013 An Important Scientific Discipline, J. Comput. Chem. Jpn., 5 (2), 53-58 (2006).<\/li>\n
    153. \u6cb3\u6751\u667a\u53f2\u3001\u8352\u5ddd\u6b63\u5e79\u3001\u8239\u6d25\u516c\u4eba\u3001\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u7528\u3044\u305f\u6ce2\u9577\u9818\u57df\u9078\u629e\u624b\u6cd5\u306e\u958b\u767a, Comput.-Aided Chem., 7, 10-17 (2006).<\/li>\n
    154. Arakawa, K. Hasegawa, K. Funatsu, QSAR study of anti-HIV HEPT analogues based on multi-objective genetic programming and counter-propagation neural network, J. Chemometrics and Intelligent Lab., 83 (2), 91-98 (2006) .<\/li>\n
    155. \u690d\u6751\u572d\u7950\u3001\u8352\u5ddd\u6b63\u5e79\u3001\u8239\u6d25\u516c\u4eba\u3001\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30c3\u30af\u30b9\u624b\u6cd5\u306b\u3088\u308b\u65b0\u898f\u89e6\u5a92\u5019\u88dc\u306e\u63d0\u6848\u3001 Comput.-Aided Chem., 7, 69-77 (2006).<\/li>\n
    156. \u771f\u5e06\u967d\u5b50\u3001\u5742\u53e3\u5cfb\u4e00\u3001\u4e2d\u6751\u7531\u7d00\u5b50\u3001\u30e2\u30cf\u30de\u30c9\u30fb\u30a2\u30eb\u30bf\u30d5\u30eb\u30fb\u30a2\u30df\u30f3\u3001\u9ed2\u5ddd\u9855\u3001\u8239\u6d25\u516c\u4eba\u3001\u91d1\u8c37\u91cd\u5f66\u3001\u751f\u7269\u7a2e\uff0d\u4ee3\u8b1d\u7269\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9(KNApSAcK)\uff1a\u30d5\u30e9\u30dc\u30ce\u30a4\u30c9\u4ee3\u8b1d\u7269\u306e\u591a\u69d8\u6027\u3001 Comput.-Aided Chem., 7, 97-101 (2006).<\/li>\n
    157. Takahashi, K. Funatsu, Y. Ema, Automatic modeling of reaction systems using genetic algorithms and its application to chemical vapour deposition processes: advanced utilizations of simulators for chemical systems, Meas. Sci. Technol., 16, 278-284 (2005).<\/li>\n
    158. \u8352\u5ddd\u6b63\u5e79\u3001\u8239\u6d25\u516c\u4eba\u3001\u30bc\u30ed\u30a8\u30df\u30c3\u30b7\u30e7\u30f3\u30fb\u30b7\u30df\u30e5\u30ec\u30fc\u30bf\u306e\u958b\u767a\u3001\u74b0\u5883\u79d1\u5b66\u4f1a\u8a8c\u300129-40 (2005)<\/li>\n
    159. \u897f\u6751\u62d3\u6717\u3001\u8239\u6d25\u516c\u4eba\u3001\u819c\u30e2\u30b8\u30e5\u30fc\u30eb\u8a2d\u8a08\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u3001The Journal of Computer Chemistry, Japan, 4 (2) ,49-58 (2005).<\/li>\n
    160. Hasegawa, M. Arakawa, K. Funatsu, Novel Computational Approached in QSAR and Molecular Design Based on GA, Multi-Way PLS and NN, Current Computer-Aided Drug Design, 1, 129-145 (2005).<\/li>\n
    161. \u8352\u5ddd\u6b63\u5e79\u3001\u5c71\u7530\u5409\u6717\u3001\u8239\u6d25\u516c\u4eba\u3001\u539f\u5b50\u56e3\u5bc4\u4e0e\u6cd5\u3092\u5229\u7528\u3057\u305f\u81ea\u52d5\u69cb\u9020\u751f\u6210\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u958b\u767a\u3001 Comput.-Aided Chem., 6, 90-96 (2005).<\/li>\n
    162. \u8352\u5ddd\u6b63\u5e79\u3001\u8239\u6d25\u516c\u4eba\u3001\u5206\u5b50\u8a2d\u8a08\u306e\u305f\u3081\u306e\u7d71\u5408\u30b7\u30b9\u30c6\u30e0ToMoCo\u306e\u958b\u767a\u3001 Comput. Chem. Jpn., 5(2),119-128 (2006).<\/li>\n
    163. Funatsu, A Novel Approach to Retrosynthetoc Analysis Utilizing Knowledge Bases Derived from Reaction Databases, 9th international Conference, Knowledge-Based Intelligent Information and Engineering Systems 2005, Proceedings, Part I 169-175, Springer-Verlag, 2005.<\/li>\n
    164. \u5ca1\u91ce\u514b\u5f66\u3001\u4f50\u85e4\u8015\u53f8\u3001\u91d1\u4e95\u548c\u660e\u3001\u8239\u6d25\u516c\u4eba\u3001\u5800\u61b2\u6b21\u3001MO\u8a08\u7b97\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u7528\u3044\u305f\u82b3\u9999\u65cf\u6c42\u6838\u7f6e\u63db\u53cd\u5fdc\u306e\u53ce\u7387\u4e88\u6e2c\u306b\u95a2\u3059\u308b\u60c5\u5831\u5316\u5b66\u7684\u89e3\u6790\u3001Comput.-Aided Chem., 5, 9-18 (2004).<\/li>\n
    165. \u8352\u5ddd\u6b63\u5e79\u3001\u8239\u6d25\u516c\u4eba\u3001\u591a\u6b21\u5143\u30c7\u30fc\u30bf\u30e2\u30c7\u30ea\u30f3\u30b0\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306e\u958b\u767a\u3001 Comput. Chem. Jpn., 3, 77-84 (2004).<\/li>\n
    166. Takaba, T. Nishimura, K. Funatsu, S. Nakao, Development of a Design Tool for Gas Separation Membrane Modules using Computational Fluid Dynamics Simulation, Transactions of the Materials Reasearch Society of Japan, 29, 3279-3282 (2004).<\/li>\n
    167. Hasegawa, S. Matsuoka, M. Arakawa, K. Funatsu, Multi-way PLS modeling of structure-activity data by incorporating electrostatic and lipophilic potentials on molecular surface, Computational Biology & Chemistry, 27, 381-386 (2003).<\/li>\n
    168. Arakawa, K. Hasegawa, K. Funatsu, Novel Alignment Method of Small Molecules Using Hopfield Neural Network, J. Chem. Inf. Comput. Sci., 43, 1390-1395 (2003).<\/li>\n
    169. Arakawa, K. Hasegawa, K. Funatsu, Application of Novel Alignment Method Using Hopfield Neural Network to 3D-QSAR, J. Chem. Inf. Comput. Sci., 43, 1396-1402 (2003).<\/li>\n
    170. Takahashi, K. Funatsu, Y. Ema, Study of Automatic Modeling of Reaction Systems for Chemical Vapaor Deposition Processes Using Genetic Algorithms, The Electrochemical Society, 203rd Meeting (CVD-XVI & EUROCVD FOURTEEN) 2003.<\/li>\n
    171. Saeki, K. Funatsu, K. Tanabe, Discrimination of poly(vinyl chloride) samples with different plasticizers and prediction of plasticizer contents in poly(vinyl chloride) using near-infrared spectroscopy and neural network analysis, Analytical Science, 12 (2), 309-312 (2003).<\/li>\n
    172. Saeki, K. Tanabe, T. Matsumoto, H. Uesaka, T. Amano, K. Funatsu, Prediction of Polyethylene Density by Near-Infrared Spectroscopy Combined with Neural Network Analysis, J. Comput. Chem. JPN, 2(1), 33-40(2003).<\/li>\n
    173. \u8352\u5ddd\u6b63\u5e79\u3001\u9577\u8c37\u5ddd\u6e05\u3001\u677e\u5ca1\u6210\u90ce\u3001\u8239\u6d25\u516c\u4eba\u3001\u5206\u5b50\u8868\u9762\u4e0a\u306e\u9759\u96fb\u30fb\u758e\u6c34\u30dd\u30c6\u30f3\u30b7\u30e3\u30eb\u3092\u7528\u3044\u305fMulti-way PLS\u30e2\u30c7\u30ea\u30f3\u30b0\u3001Comput.-Aided Chem., 4,18-26 (2003).<\/li>\n
    174. Hasegawa, M. Arakawa, K. Funatsu, Simultaneous Determination of Bioactive Conformations and Alignment Rules by Multiway PLS Modeling, Computational Biology & Chemistry, 27, 211-216 (2003).<\/li>\n
    175. \u8352\u5ddd\u6b63\u5e79\u3001\u9577\u8c37\u5ddd\u6e05\u3001\u8239\u6d25\u516c\u4eba\u3001 Hopfield Neural Network\u3092\u7528\u3044\u305f\u65b0\u3057\u3044\u5206\u5b50\u91cd\u306d\u5408\u308f\u305b\u624b\u6cd5\u306e3D-QSAR\u3078\u306e\u5fdc\u7528\u3001 Comput.-Aided Chem., 3, 63-72 (2002).<\/li>\n
    176. \u8352\u5ddd\u6b63\u5e79\u3001\u9577\u8c37\u5ddd\u6e05\u3001\u8239\u6d25\u516c\u4eba\u3001 Hopfield Neural Network\u3092\u7528\u3044\u305f\u65b0\u3057\u3044\u5206\u5b50\u91cd\u306d\u5408\u308f\u305b\u624b\u6cd5\u306e3D-QSAR\u3078\u306e\u5fdc\u7528\uff0dHER2\u963b\u5bb3\u5264\u306e\u89e3\u6790\uff0d\u3001 Comput.-Aided Chem., 3, 99\uff0d106 (2002).<\/li>\n
    177. Hasegawa, S. Matsuoka, M. Arakawa, K. Funatsu, New Molecular Surface-Based 3D-QSAR Method Using Kohonen Neural Network and 3-Way PLS, Computer & Chemistry, 26, 583-589 (2002).<\/li>\n
    178. \u8239\u6d25\u516c\u4eba\u3001\u6b66\u5185\u5927\u77e5\uff1a\u30bc\u30ed\u30a8\u30df\u30c3\u30b7\u30e7\u30f3\u30fb\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u305f\u7269\u8cea\u5faa\u74b0\u30b7\u30df\u30e5\u30ec\u30fc\u30bf\u306e\u958b\u767a\u3001\u74b0\u5883\u79d1\u5b66\u4f1a\u8a8c\u3001\u7b2c\uff11\uff14\u5dfb\u3001\uff12\u53f7\u3001173-180 (2001).<\/li>\n
    179. \u6210\u702c\u4e00\u90ce\u3001\u5f8c\u85e4\u77e5\u884c\u3001\u5c71\u5185\u5065\u4e8c\u3001\u8239\u6d25\u516c\u4eba\uff1a\u3000\u5730\u57df\u306b\u304a\u3051\u308b\u7269\u8cea\u5faa\u74b0\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u69cb\u7bc9\u306e\u305f\u3081\u306e\u65b9\u6cd5\u8ad6\u3001\u74b0\u5883\u79d1\u5b66\u4f1a\u8a8c\u3001\u7b2c\uff11\uff14\u5dfb\u3001\uff12\u53f7\u3001231-237 (2001).<\/li>\n
    180. Satoh, H. Koshino, K. Funatsu, T. Nakata: Representation of Molecular Configurations by CAST Coding Method, J. Chem. Inf. Comput. Sci., 41, 1106-1112 (2001).<\/li>\n
    181. Yoshida, R. Leardi, K. Funatsu, K. Varmuza: Feature Selection by Genetic Algorithms for Mass Spectral Classifiers, Anal. Chimica Acta, 446, 485-494 (2001).<\/li>\n
    182. \u9577\u8c37\u5ddd\u6e05\u3001\u7d30\u7530\u6b66\u5b8f\u3001\u8239\u6d25\u516c\u4eba\u3001\u907a\u4f1d\u7684\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3068\u30ab\u30a6\u30f3\u30bf\u30fc\u30d7\u30ed\u30d1\u30b2\u30fc\u30b7\u30e7\u30f3\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u3088\u308b\u69cb\u9020\u6d3b\u6027\u30c7\u30fc\u30bf\u306e\u975e\u7dda\u5f62\u30e2\u30c7\u30ea\u30f3\u30b0\u3001 Comput.-Aided Chem., 2, 11-20 (2001).<\/li>\n
    183. \u8352\u5ddd\u6b63\u5e79\u3001\u9577\u8c37\u5ddd\u6e05\u3001\u8239\u6d25\u516c\u4eba\u3001Hopfield Neural Networks\u3092\u7528\u3044\u305f\u65b0\u3057\u3044\u5206\u5b50\u91cd\u306d\u5408\u308f\u305b\u624b\u6cd5\u3001 Comput.-Aided Chem., 2, 29-36 (2001).<\/li>\n
    184. Hasegawa, M.Arakawa, K.Funatsu: Rational Choice of Bioactive Conformations Through Use of Comformation Analysis and 3-Way Partial Least Squares Modelling, J. Chemometrics and Intelligent Lab., 50, 253-261 (2000).<\/li>\n
    185. Satoh, H.Koshino, K.Funatsu, T.Nakata: Novel Cannonical Coding Method for Representation of Three-Dimensional Structures, J. Chem. Inf. Comput. Sci., 40, 622-630 (2000).<\/li>\n
    186. \u8352\u5ddd\u6b63\u5e79\u3001\u9577\u8c37\u5ddd\u6e05\u3001\u8239\u6d25\u516c\u4eba\u30014way PLS\u6cd5\u3092\u7528\u3044\u305f\u6d3b\u6027\u30b3\u30f3\u30d5\u30a9\u30e1\u30fc\u30b7\u30e7\u30f3\u3068\u91cd\u306d\u5408\u308f\u305b\u30eb\u30fc\u30eb\u9078\u629e\u624b\u6cd5\u2015\u30bf\u30f3\u30d1\u30af\u306e\uff13\u6b21\u5143\u69cb\u9020\u306b\u3088\u308b\u30d0\u30ea\u30c7\u30fc\u30b7\u30e7\u30f3, J. Comput.-Aided Chem., 1, 1-7 (2000).<\/li>\n
    187. \u8352\u5ddd\u6b63\u5e79\u3001\u9577\u8c37\u5ddd\u6e05\u3001\u8239\u6d25\u516c\u4eba\u30014way PLS\u6cd5\u306b\u3088\u308b\u6d3b\u6027\u30b3\u30f3\u30d5\u30a9\u30e1\u30fc\u30b7\u30e7\u30f3\u3068\u91cd\u306d\u5408\u308f\u305b\u30eb\u30fc\u30eb\u9078\u629e\u624b\u6cd5\u2015\u5916\u90e8\u4e88\u6e2c\u306b\u3088\u308b\u30d0\u30ea\u30c7\u30fc\u30b7\u30e7\u30f3\u3001 Comput.-Aided Chem., 1, 8-14 (2000).<\/li>\n
    188. \u677e\u5ca1\u6210\u90ce\u3001\u9577\u8c37\u5ddd\u6e05\u3001\u8352\u5ddd\u6b63\u5e79\u3001\u8239\u6d25\u516c\u4eba\u3001Kohonen\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30683wayPLS\u6cd5\u3092\u7528\u3044\u305f\u65b0\u3057\u30443D-QSAR\u624b\u6cd5\u306e\u958b\u767a\u3001 Comput.-Aided Chem., 1, 22-34 (2000).<\/li>\n
    189. \u68da\u7530\u6771\u4f5c\u3001\u8352\u5ddd\u6b63\u5e79\u3001\u897f\u6751\u7adc\u4e00\u3001\u8239\u6d25\u516c\u4eba\u3001\u30b1\u30e2\u30e1\u30c8\u30ea\u30c3\u30af\u30b9\u624b\u6cd5\u3092\u7528\u3044\u305f\u6750\u6599\u958b\u767a\u652f\u63f4\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u958b\u767a\u3001 Comput.-Aided Chem., 1, 35-46, (2000).<\/li>\n
    190. Satoh, K. Funatsu, K. Takano, T. Nakata: Classification and Prediction of Reagents’ Roles by FRAU System with Self-organizing Neural Network Model, Bull. Chem. Soc. Jpn., 73, 1955-1965 (2000).<\/li>\n
    191. Hasegawa, K. Funatsu: Partial Least Squares Modeling and Genetic Algorithm Optimization in Quantitative Structure-Activity Relationships, SAR and QSAR in Environmental Research, 11, 189-209 (2000).<\/li>\n
    192. Hasegawa, K. Funatsu: 3D-QSAR Study of Insecticidal Neonicotinoid Compounds Based on 3-Way Partial Least Squres Model, J. Chemometrics and Intelligent Lab., 47, 33-40 (1999).<\/li>\n
    193. Hasegawa, T. Kimura, K. Funatsu: GA Strategy for Variable Selection in QSAR Studies: Application of GA-Based Region Selection to 3D-QSAR Study of Acetylcholoneesterase Inhibitors, J. Chem. Inf. Comput. Sci., 39, 112-120(1999).<\/li>\n
    194. Satoh, K. Funatsu: A Novel Approach for Retrosynthetic Analysis Utilizing Knowledge Bases Derived from Reaction Database, J. Chem. Inf. Comput. Sci., 39, 316-325 (1999).<\/li>\n
    195. Hasegawa, T. Kimura, K. Funatsu: GA Strategy for Variable Selection in QSAR Studies: Enhancement of Comparative Molecular Binding Energy Analysis by GA-Based PLS Method, Quantitative Structure Activity Relationships, 18 (3), 262-272 (1999).<\/li>\n
    196. Satoh, S. Itono, K. Funatsu, K. Takano, T. Nakata: A Novel Approach for Characterization of Three-Dimensional Reaction Fields Based on Electrostatic and Steric Interactions toward the Goal of Quantitative analysis and Understanding of Organic Reactions, J. Chem. Inf. Comnput. Sci., 49, 671-678 (1999).<\/li>\n
    197. Satoh, O. Sacher, T, Nakata, J, Gasteiger, K. Funatsu: Classification of organic Reactions: Similarity of reactions Based on Changes in the Electronic Features of Oxygen Atoms at the Reaction Sites, J. Chem. Inf. Comput. Sci., 38, 210-219 (1998).<\/li>\n
    198. Hasegawa, K. Funatsu: GA Strategy for Variable Selection in QSAR studies:\u00a0 GAPLS and D-optimal Designs for predictive QSAR model, THEOCHEM-J. Mol. Struct., 425 (3), 255-262 (1998).<\/li>\n
    199. Kimura, K. Hasegawa, K. Funatsu: GA Strategy for Variable Selection in QSAR Studies: GA-Based Region Selection for CoMFA Modeling, J. Chem. Info. Comput. Sci., 38, 276-282 (1998).<\/li>\n
    200. Satoh, S. Azuma, H. Satoh, K. Funatsu: Development of the program for construction of a starting material library for AIPHOS, J. Chem. Soft., 4, 101-112 (1997).<\/li>\n
    201. Hasegawa, T. Kimura, K. Funatsu: Nonlinear CoMFA using QPLS as a novel 3D-QSAR approach, Quantitative Structure-Activity Relationships, 16, 219-223 (1997).<\/li>\n
    202. \u4f50\u85e4\u8015\u53f8\u3001\u884c\u672c\u7950\u4ecb\u3001\u8239\u6d25\u516c\u4eba\uff1aTransform\u3092\u5229\u7528\u3057\u305f\u9006\u30eb\u30fc\u30c8\u63d0\u6848\u6a5f\u80fd\u306e\u958b\u767a\u3001\u65e5\u672c\u5316\u5b66\u96d1\u8a8c(1997)\u30016, 435-441.<\/li>\n
    203. Yoshida, K. Funatsu: Optimization of the Inner Relation Function of QPLS Using Genetic Algorithm, J. Chem. Info Comput. Sci., 37, 1115-1121(1997).<\/li>\n
    204. Satoh, K. Funatsu: Further Development of a Reaction Generator in the SOPHIA System for Reaction Prediction: Knowledge-Guided Addition of Suitable Atom and\/or Atomic Groups to Product Skeleton, J. Chem. Info. Comput.Sci., 36, 173-184 (1996).<\/li>\n
    205. Kimura, Y. Miyashita, K. Funatsu, S. Sasaki: Quantitative structure-activity relationships of the synthetic substrates for elastase enzyme using non-linear partial least squares regression, J. Chem. Info. Comput.Sci., 36, 185-189 (1996).<\/li>\n
    206. Funatsu, S. Sasaki: Recent Advances in the Automated Structure Elucidation\u00a0 System, CHEMICS. -Utilization of Two-Dimensional NMR Spectral Information and Development of Peripheral Functions for Examination of Candidates, J. Chem. Info. Comput. Sci., 36, 190-204 (1996).<\/li>\n
    207. Hasegawa, Y. Miyashita, K. Funatsu, S. Sasaki: GA Strategy for Variable Selection in QSAR Studies: GA based PLS analysis of calcium channel antagonists,\u3000 J. Chem. Info. Comput. Sci., 37, 306-310 (1997).<\/li>\n
    208. Hasegawa, T. Kimura, Y. Miyashita, K. Funatsu: Nonlinear partial least squares modelling of phenyl alkylamines with the monoamine oxidase inhibitory activities, J. Chem. Info. Comput. Sci., 36, 1025-1029 (1996).<\/li>\n
    209. Satoh, K. Funatsu: SOPHIA, a Knowledge-Guided Reaction Prediction System -Utilization of a Knowledge Base Derived from a Reaction Database, J. Chem. Info. Comput. Sci., 35, 34 (1995).<\/li>\n
    210. Funatsu. I.P.Bangov: Fast Calculation of \u03c0-electron Charge Densities in Organic Mlecules. Non-condensed Compounds, Anal. Chimica Acta, 314, 101-110 (1995).<\/li>\n
    211. Funatsu, S.Sasaki: Role of Knowledge Base Derived from Reaction Databasa in Organic Synthesis design System-AIPHOS, AIP Conference Proceedings 330 (E.C.C.C.1 Computational Chemistry),American Institute of Phisics, 643 (1995).<\/li>\n
    212. \u8239\u6d25\u516c\u4eba\u3001\u901f\u6c34\u5065\u4e00\u3001\u4f50\u3005\u6728\u614e\u4e00\u3001\u6709\u6a5f\u5316\u5408\u7269\u306e\u81ea\u52d5\u69cb\u9020\u63a8\u5b9a\u30b7\u30b9\u30c6\u30e0\uff23\uff28\uff25\uff2d\uff29\uff23\uff33\u306b\u304a\u3051\u308b\u69cb\u9020\u767a\u751f\u306e\u52b9\u7387\u5316\u3001\u5206\u6790\u5316\u5b66\u300142, 369(1994).<\/li>\n
    213. Funatsu, B. P. Acharya, S. Sasaki: Application of a Digital 1<\/sup>H-NMR Spectrum to the Survival Test of Substructures and the Assignment Test, J. Chem. Inf. Comput. Sci., 34, 735(1994).<\/li>\n
    214. Funatsu, M. Nishizaki, S. Sasaki: Introduction of NOE Data to an Automated Structure Elucidation System, CHEMICS. Three-Dimensional Structure Elucidation Using the Distance Geometry Method, J. Chem. Inf. Comput. Sci., 34, 745(1994).<\/li>\n
    215. \u8239\u6d25\u516c\u4eba\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306b\u3088\u308b\u6709\u6a5f\u5316\u5408\u7269\u306e\u69cb\u9020\u63a8\u5b9a\u3001\u6709\u6a5f\u5408\u6210\u5316\u5b66\u5354\u4f1a\u8a8c\u300151, 516(1993).<\/li>\n
    216. Fujio, M. Goto, K. Funatsu, T. Yoshino, Y. Tsuno: Solvent Effects on the Solvolysis of Neophyl Toshylates, Bull.Chem.Soc.Jpn., 65, 46(1992).<\/li>\n
    217. Funatsu, S. Sasaki: Recent Advances in the Automated Structure Elucidation System-CHEMICS, Proceedings International CODATA Conference, Glaser Phylis; Eds. New York Hemisphere, 372(1990).<\/li>\n
    218. Fujio, M. Goto, K. Funatsu, T. Yoshino, Y. Tsuno: Solvent Effects on the Solvolysis of Neophyl Tosylates, Mem.Fac.Sci., Ser. C, 17(2), 255 (1990).<\/li>\n
    219. Funatsu, Y. Susuta, S. Sasaki: Application of the Automated Structure Elucidation System (CHEMICS) to the Chemistry of Natural Products, Pure Appl.Chem., 61, 609(1989).<\/li>\n
    220. Funatsu, Y. Susuta, S. Sasaki: Application of IR-Data Analysis Based on Symbolic Logic to the Automated Structure Elucidation, Anal.Chim.Acta, 220, 155(1989).<\/li>\n
    221. Funatsu,S. Sasaki: The Automated Structure Elucidation System-CHEMICS, 1989 International Chemical Information Conference Proceedings (Springer-Verlag) p.271(1989).<\/li>\n
    222. Funatsu, Y. Susuta, S. Sasaki: Introduction of Two-Dimensional NMR Spectral Information to an Automated Structure Elucidation System, CHEMICS. Utilization of 2D-INADEQUATE Information, J.Chem.Info.Comput. Sci., 29, 6(1989).<\/li>\n
    223. \u8239\u6d25\u516c\u4eba\u3001\u9060\u85e4\u667a\u660e\u3001A. Del Carpio\u3001\u4f50\u3005\u6728\u614e\u4e00\uff1a\u6709\u6a5f\u5408\u6210\u7d4c\u8def\u63a2\u7d22\u306e\u65b0\u3057\u3044\u30a2\u30d7\u30ed\uff0d\u30c1\u3000\u2015AIPHOS\u3092\u4f8b\u3068\u3057\u3066\u2015\u3001\u89e6\u5a92\u300131, 21(1989).<\/li>\n
    224. Funatsu, Y. Miyabayashi, S. Sasaki: Further Development of Structure Generation in Automated Structure Elucidation System,CHEMICS, J.Chem.Inf.Comp.Sci., 28, 18(1988).<\/li>\n
    225. Funatsu, S. Sasaki: Computer-Assisted Organic Synthesis Design and Reaction Prediction System, “AIPHOS”, Tetrahedron Computer Methodology, 1, 27(1988).<\/li>\n
    226. Funatsu, C.A. Del Carpio, S. Sasaki: Automatic Perception of Structure Characteristics of Organic Compound Enhancing Molecular Reactivity Directed to the Planning of Organic Synthesis, Tetrahedron Computer Methodology, 1, 39(1988).<\/li>\n
    227. Funatsu, T. Endo, N. Kotera, S. Sasaki: Automatic Recognition of Reaction Site in Organic Chemical Reactions, Tetrahedron Computer Methodology, 1, 53(1988).<\/li>\n
    228. Sasaki, Y. Takahashi, K. Funatsu: Total System of Molecular Design, “Physical Property Prediction in Organic Chemistry”, C. Jochum, M. G. Hicks, J. Sunkel (Eds.), p.255, Springer-Verlag (1988).<\/li>\n
    229. \u7530\u8fba\u548c\u4fca\u3001\u8239\u6d25\u516c\u4eba\uff1a\u5408\u6210\u8a2d\u8a08\u306f\u4eba\u5de5\u77e5\u80fd\u5316\u3067\u304d\u308b\u304b\u3001\u5316\u5b66\u3068\u5de5\u696d\u300141, 417 (1988).<\/li>\n
    230. \u5bae\u4e0b\u82b3\u52dd\u3001\u8239\u6d25\u516c\u4eba\u3001\u9808\u3005\u7530\u3000\u5bdb\u3001\u4f50\u3005\u6728\u614e\u4e00\uff1a\u3000\u8a18\u53f7\u8ad6\u7406\u3092\u7528\u3044\u305f\u8d64\u5916\u5438\u53ce\u30b9\u30da\u30af\u30c8\u30eb\u306e\u89e3\u6790\u3001\u5316\u5b66\u3068\u6559\u80b2\u300135, 60 (1987).<\/li>\n
    231. Fujio, K. Funatsu, M. Goto, M. Mishima, Y. Tsuno: Varying Resonance Demands in Substituent Effects.\u3000 Acetolysis of Neophyl p-Bromobenzene-sulfonates, Tetrahedron Letters, 43, 307(1987).<\/li>\n
    232. Fujio, K. Funatsu, M. Goto, Y. Seki, M. Mishima, Y. Tsuno: Substituent Effects. XVI.\u3000 Acetolysis of 2-Phenylethyl Tosylates, Bull.Chem.Soc.Jpn.,60, 1091(1987).<\/li>\n
    233. Funatsu, H. Katsumi, S. Sasaki: Computer Program for Predicting the Number of 13<\/sup>C-NMR Signals Based on Chemical Structure, Computer Enhanced Spectroscopy, 3, 87(1986).<\/li>\n
    234. Funatsu, C.A. Del Carpio, S. Sasaki: Automated Structure Elucidation System -CHEMICS, Fresenius Z Anal Chem., 324, 750(1986).<\/li>\n
    235. Funatsu, C.A. Del Carpio, S. Sasaki: Quantitative Examination of the Relationship between 1<\/sup>H- and 13<\/sup>C-NMR Chemical Shifts Applied to Structure Elucidation Processes, Computer Enhanced Spectroscopy, 3, 119 (1986).<\/li>\n
    236. Funatsu, C.A. Del Carpio, S. Sasaki: Computer-assisted Structure Elucidation Based on the Interdependent Analysis of 1<\/sup>H- and 13<\/sup>C-NMR Spectra, Computer Enhanced Spectroscopy, 3, 133 (1986).<\/li>\n
    237. Miyashita, Y. Takahashi, C. Takayama, T. Ohkubo, K. Funatsu, S. Sasaki Computer-Assisted Structure\/Taste Studies on Sulfamates by Pattern Recognition Methods, Anal. Chim. Acta, 184, 143-149, (1986).<\/li>\n
    238. Fujio, K. Funatsu, M. Goto, Y. Seki, M. Mishima, Y. Tsuno: Substituent Effect on the Acetolysis of 2-Phenylethyl Tosylate, Tetrahedron Letters, 24, 2177(1983).<\/li>\n
    239. Tsuno, K. Funatsu, Y. Maeda, M. Mishima, M. Fujio: Substituent Effect on the Acetolysis of Neophyl p-Bromobenzenesulfonates, Tetrahedron Letters, 23, 2879(1982).<\/li>\n<\/ol>\n

       <\/p>\n

      \u3010\u56fd\u969b\u4f1a\u8b70\u8ad6\u6587\uff1a\u67fb\u8aad\u4ed8\u304d\u3011<\/strong><\/p>\n

        \n
      1. H. Kim, H. Kaneko, N. Yamashiro, K. Funatsu, Novel Approach to Predict the Azeotropy at any Pressure Using Classification by Subgroups, Songklanakarin Journal of Science and Technology, 569-575(2012)<\/li>\n
      2. Okada, H. Kaneko, K. Funatsu, Development of a Model Selection Method Based on Reliability of a Soft Sensor Model, Songklanakarin Journal of Science and Technology, 34<\/strong>(2), 217-222(2012).<\/li>\n<\/ol>\n

         <\/p>\n

        \u3010\u539f\u8457\u8ad6\u6587\uff08\u67fb\u8aad\u306a\u3057\uff09\u3011<\/strong><\/p>\n

          \n
        1. Kaneko, K. Funatsu, Development of New Soft Sensor Methods for Selecting Process Variables with Consideration\u3000of Process Dynamics, Proceedings of the 14th Asia Pacific Confederation of Chemical Engineering Congress<\/em>.2012.<\/li>\n
        2. Kaneko, K. Funatsu, A Statistical Approach to Prediction of Transmembrane Pressure in Membrane Bioreactors,\u3000Proceedings of AIChE 2012 Spring Meeting, <\/em>244333, 2012.<\/li>\n
        3. Kaneko, K. Funatsu, Estimation of Predictive Accuracy of Soft Sensor Models Based on One-Class Support Vector Machine, Proceedings of the 11th International Symposium on Process Systems Engineering<\/em>, 1246-1250, 2012.<\/li>\n
        4. Kaneko, K. Funatsu, Prediction Model of Transmembrane Pressure Jump for Membrane Bioreactor Using Physical and Statistical Approaches, Proceedings of Euromembrane 2012, <\/em><\/li>\n
        5. Kaneko, K. Funatsu, Improvement and Estimation of Prediction Accuracy of Soft Sensor Models Based on Time\u3000Difference, Proceedings of the Twenty-fourth International Conference on Industrial, Engineering and Other<\/em>\u3000<\/em>Applications of Applied Intelligent Systems<\/em>, T7-2(USB), 2011.<\/li>\n
        6. Okada, H. Kaneko, K. Funatsu, Development of a Model Selection Method Based on Reliability of a Soft Sensor\u3000Model, Proceedings of TIChE International Conference 2011, <\/em>pc014(USB), 2011.<\/li>\n
        7. H. Kim, H. Kaneko, N. Yamashiro, K. Funatsu, Novel Approach to Predict the Azeotropy at any Pressure Using\u3000Classification by Subgroups, Proceedings of TIChE International Conference 2011, <\/em>sp007(USB) , 2011.<\/li>\n
        8. Kaneko, K. Funatsu, Classification of the Degradation of Soft Sensor Models and Discussion on Adaptive Models, Proceedings of TIChE International Conference 2011<\/em>, pc015(USB) , 2011.<\/li>\n
        9. Nishioka, K. Funatsu: Chemical Knowledge for Predicting Biosynthetic Pathways of Secondary Metabolites, Gemome Infomatics 1999, 243-244.<\/li>\n
        10. Nishioka, K, Funatsu: Search Pathways for Secondary Metabolites Based On Genome Analysis and Chemical Knowledge on Metabolism, Genome Infomatics 1998, 312-313.<\/li>\n
        11. Goto, K. Funatsu, N. Arita, M. Mishima, M. Fujio, Y. Tsuno: The Substituent Effect on Solvolyses of 2-Aryl-1-Methylethyl Tosylates, Mem.Fac.Sci., Kyushu Uni., Ser. C, 17(1), 123(1989).<\/li>\n
        12. Fujio, K. Funatsu, K. Shibata, H. Yoshinaga, Y. Maeda, M. Goto, M. Mishima, Y. Tsuno: Substituent Effect on the Acetolysis of Neophyl p-Bromobenzenesulfonates, Mem.Fac.Sci., Kyushu Univ., Ser. C, 14(2), 319 (1984).<\/li>\n
        13. Funatsu, M. Kimura, T. Furukawa, M. Fujio, Y. Tsuno: Deuterium Isotope Effects on Solvolyses of Aralkyl Systems.III.\u3000 Deuterium Isotope Effects on Acetolysis of \u03b2-Arylethyl Tosylates, Mem.Fac.Sci., Kyushu Univ., Ser. C, 14(2), 343(1984).<\/li>\n
        14. Fujio, K. Funatsu, M. Goto, Y. Seki, M. Mishima, Y. Tsuno: Substituent Effect on the Acetolysis of 2-Phenylethyl Tosylate, Mem.Fac.Sci., Kyushu Univ., Ser. C, 14(1), 177(1983).<\/li>\n
        15. Mishima, K. Funatsu, M. Isoda, K. Shibata, H. Yoshinaga, M. Fujio, Y. Tsuno: Leaving Group Effects on the Acetolysis of Neophyl Arenesulfonates Mem.Fac.Sci., Kyushu Univ., Ser. C, 14(1), 199(1983).<\/li>\n
        16. Funatsu, M. Fujio, Y.Tsuno: Deuterium Isotope Effects on Solvolyses ofAralkyl Systems. II.\u3000 Solvent Dependence of \u03b1-Deuterium Isotope Effects in the Solvolysis of 2-Adamantyl Tosylate, Mem.Fac.Sci., Kyushu Univ., Ser. C, 13(2), 391(1982).<\/li>\n
        17. Fujiyama, S. Kiyooka, K. Funatsu, M. Fujio, Y. Tsuno: Carbon-13 NMR Study on Reaction Mechanisms. VII.\u3000Incorporation of Tosylate Ion in the Acetolysis of Aralkyl Tosylates, Mem.Fac.Sci., Kyushu Univ., Ser. C, 13(1), 117(1981).<\/li>\n
        18. Minami, S. Yoh, K. Funatsu, M. Mishima, T. Kobayashi, Y. Maeda, M. Fujio, Y. Tsuno: Leaving Group Effects on The Menschutkin and Acetolysis Reactions of 2-Phenylethyl Arenesulfonates, Mem.Fac.Sci., Kushu Univ., Ser. C, 13(1), 155(1981).<\/li>\n
        19. Funatsu, M. Fujio, Y. Tsuno: Deuterium Isotope Effects on Solvolyses of Aralkyl Systems. I.\u3000 Acetolyses of p-Methoxy and Unsubstituted 1-Phenyl-2-propyl Tosylates, Mem.Fac.Sci., Kyushu Univ., Ser. C, 13(1), 125(1981).<\/li>\n<\/ol>\n

           <\/p>\n

          \u3010\u7dcf\u8aac\u304a\u3088\u3073\u8a18\u4e8b\u3011<\/strong><\/p>\n

            \n
          1. \u8239\u6d25\u516c\u4eba\u3001\u5316\u5b66\u30c7\u30fc\u30bf\u30fb\u60c5\u5831\u304b\u3089\u77e5\u8b58\u3078\u3001\u77e5\u8b58\u304b\u3089\u8a2d\u8a08\u3078\uff08\uff11\uff09\uff5e\uff08\uff11\uff10\uff09\u9023\u8f09\u3001\u73fe\u4ee3\u5316\u5b66\u30012018\uff0e<\/li>\n
          2. \u8239\u6d25\u516c\u4eba\u3001\u6bd2\u6027\u95a2\u9023\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u5316\u5b66\u7269\u8cea\u306e\u5b89\u5168\u6027\u4e88\u6e2c(AI-SHIPS\u30d7\u30ed\u30b8\u30a7\u30af\u30c8)\uff0d\u52d5\u7269\u5b9f\u9a13\u306e\u4ee3\u66ff\uff0f\u8a66\u9a13\u30b3\u30b9\u30c8\u306e\u524a\u6e1b\uff0f\u958b\u767a\u671f\u9593\u306e\u77ed\u7e2e\u2015\u30011-7, 19(9), 2018.<\/li>\n
          3. \u8239\u6d25\u516c\u4eba\u3001\u9023\u7d9a\u751f\u7523\u30d7\u30ed\u30bb\u30b9\u306e\u76e3\u8996\u3068\u5236\u5fa1\u30019-19, 27(2), 2018.<\/li>\n
          4. \u8239\u6d25\u516c\u4eba\u3001\u5316\u5b66\u5de5\u696d\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u5316\u5b66\u30011-11, 69(1), 2018.<\/li>\n
          5. \u8239\u6d25\u516c\u4eba\u3001\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u5316\u5b66\u3078\u306e\u30d1\u30e9\u30c0\u30a4\u30e0\u30b7\u30d5\u30c8\u3001\u6210\u578b\u52a0\u5de5\u3001392, 29(11), 2017<\/li>\n
          6. \u8239\u6d25\u516c\u4eba\u3001\u9023\u7d9a\u751f\u7523\u306b\u304a\u3051\u308b\uff30\uff21\uff34\u306e\u5229\u7528\u3001PHAMA TECH JAPAN, 96-106, 33(12), 2017.<\/li>\n
          7. \u8239\u6d25\u516c\u4eba\u3001\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u5316\u5b66\u3078\u306e\u30d1\u30e9\u30c0\u30a4\u30e0\u30b7\u30d5\u30c8\u3001\u5316\u5b66\u7d4c\u6e08\u300124-32, 64(13), 2017.<\/li>\n
          8. \u8239\u6d25\u516c\u4eba\u3001\u6709\u6a5f\u5408\u6210\u3092\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u304c\u8003\u3048\u308b\u3001\u73fe\u4ee3\u5316\u5b66\u300111\u53f7\u3001pp50\uff0d53\u30012016\u5e74<\/li>\n
          9. \u8239\u6d25\u516c\u4eba\u3001\u4eee\u60f3\u8a08\u6e2c\u6280\u8853\u306e\u73fe\u72b6t\u8ab2\u984c\u3001\u5316\u5b66\u5de5\u5b66\u300180\u5dfb\u30011\uff12\u53f7\u3001pp764\uff0d768\u30012016\u5e74<\/li>\n
          10. \u8239\u6d25\u516c\u4eba\u3001\u5316\u5b66\u7269\u8cea\u30ea\u30b9\u30af\u60c5\u5831\u306e\u7d71\u5408\u3068\u5229\u7528\u3001\u60c5\u5831\u7ba1\u7406\u3001\uff15\uff18\uff08\uff11\uff09, 12-19(2015)<\/li>\n
          11. \u91d1\u5b50 \u5f18\u660c, \u8239\u6d25 \u516c\u4eba, MBR\u306b\u304a\u3051\u308bTMP(\u819c\u9593\u5dee\u5727)\u304a\u3088\u3073TMP\u30b8\u30e3\u30f3\u30d7\u4e88\u6e2c\u30e2\u30c7\u30eb\u306e\u958b\u767a, \u819c, 40(6), 337-341, 2015.<\/li>\n
          12. \u8239\u6d25\u516c\u4eba\u3001\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30c3\u30af\u30b9\u306e\u65b0\u3057\u3044\u5c55\u958b\uff1a\u30c7\u30fc\u30bf\u304b\u3089\u77e5\u8b58\u3078\uff0c\u77e5\u8b58\u304b\u3089\u4e88\u6e2c\u30fb\u8a2d\u8a08\u3078\u3001\u3076\u3093\u305b\u304d\u300158-62\u3001\uff08\uff12\uff09\uff12\uff10\uff11\uff14\uff0e<\/li>\n
          13. \u8239\u6d25\u3000\u516c\u4eba\u3001\u91d1\u5b50\u3000\u5f18\u660c\u3001\u6e2c\u5b9a\u56f0\u96e3\u306a\u5bfe\u8c61\u3092\u63a8\u5b9a\u3059\u308b\u30bd\u30d5\u30c8\u30bb\u30f3\u30b5\u30fc\u3001\u5316\u5b66\u5de5\u5b66\u8a8c\u3001\uff17\uff15\u5dfb\uff08\uff12\uff10\uff11\uff11\uff09<\/li>\n
          14. \u91d1\u5b50 \u5f18\u660c\u3001\u8239\u6d25 \u516c\u4eba\u3001\u300c\u7279\u96c6 \u30c0\u30a4\u30ca\u30df\u30af\u30b9\u3092\u8997\u304f\u2015\u8a08\u6e2c\u30fb\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u6280\u8853\u306e\u6700\u65b0\u52d5\u5411\u2015 \u9ad8\u7cbe\u5ea6\u30bd\u30d5\u30c8\u30bb\u30f3\u30b5\u30fc\u306e\u958b\u767a\u3068\u30d7\u30ed\u30bb\u30b9\u7ba1\u7406\u3078\u306e\u5fdc\u7528\u300d\u3001\u5316\u5b66\u5de5\u5b66\u300174\u5dfb8\u53f7\u3001<\/li>\n
          15. \u8352\u5ddd \u6b63\u5e79\u3001\u91d1\u5b50 \u5f18\u660c\u3001\u8239\u6d25 \u516c\u4eba\u3001QSAR\/QSPR\u30e2\u30c7\u30eb\u306e\u9006\u89e3\u6790\u3068\u9069\u7528\u7bc4\u56f2\u3001\u65e5\u672c\u5316\u5b66\u4f1a\u60c5\u5831\u5316\u5b66\u90e8\u4f1a\u8a8c\u3001 27, 69-73, 2009.<\/li>\n
          16. \u91d1\u5b50 \u5f18\u660c\u3001\u8239\u6d25 \u516c\u4eba\u3001\u300c\u30d7\u30e9\u30f3\u30c8\u904b\u8ee2\u306e\u5b89\u5b9a\u5316\u3068\u52b9\u7387\u5316\u3092\u76ee\u6307\u3057\u305f\u30bd\u30d5\u30c8\u30bb\u30f3\u30b5\u30fc\u6280\u8853\u300d\u3001\u300e\u5206\u96e2\u6280\u8853\u300f\u30013\u53f7\u300139-45\u30012009.<\/li>\n
          17. \u8239\u6d25\u516c\u4eba\u3001\u6750\u6599\u8a2d\u8a08\u30fb\u5206\u5b50\u8a2d\u8a08\u306e\u57fa\u76e4\u6280\u8853\u3068\u3057\u3066\u306e\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30c3\u30af\u30b9\u3001\u672a\u6765\u6750\u6599\u30019\u6708\u53f7\uff082008\uff09.<\/li>\n
          18. \u8239\u6d25\u516c\u4eba\u3001\u6c34\u7d20\u5206\u96e2\u819c\u30e2\u30b8\u30e5\u30fc\u30eb\u69cb\u9020\u6700\u9069\u5316\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u958b\u767a\u3001\u5316\u5b66\u5de5\u696d\u300158(2), 1-6 (2007).<\/li>\n
          19. \u8239\u6d25\u516c\u4eba\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u5229\u7528\u306b\u3088\u308b\u5408\u6210\u30c7\u30b6\u30a4\u30f3\u3068\u526f\u53cd\u5fdc\u751f\u6210\u7269\u306e\u4e88\u6e2c\u3001\u5316\u5b66\u5de5\u696d\u300158(2), 36-41 (2007).<\/li>\n
          20. \u897f\u6751\u62d3\u90ce\u3001\u8239\u6d25\u516c\u4eba\u3001\u9ad8\u7fbd\u6d0b\u5145\u3001\u6c34\u7d20\u5206\u96e2\u819c\u30e2\u30b8\u30e5\u30fc\u30eb\u8a2d\u8a08\u652f\u63f4\u6280\u8853\u306e\u958b\u767a\u3001\u30bb\u30e9\u30df\u30c3\u30af\u30b9\u300141(11)\u3001938\uff0d942\u3000(2006).<\/li>\n
          21. \u8239\u6d25\u516c\u4eba\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u5229\u7528\u306b\u3088\u308b\u5408\u6210\u7d4c\u8def\u30c7\u30b6\u30a4\u30f3\u3068\u526f\u53cd\u5fdc\u751f\u6210\u7269\u306e\u4e88\u6e2c\u3001\u30d5\u30a1\u30a4\u30f3\u30b1\u30df\u30ab\u30eb\u300132, No.3, 17-24 (2003).<\/li>\n
          22. \u8239\u6d25\u516c\u4eba\u3001\u65b0\u3057\u3044\u30e2\u30c7\u30ea\u30f3\u30b0\u30c4\u30fc\u30eb\u3068\u3057\u3066\u306eKohonen\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3001\u5316\u5b66\u3068\u6559\u80b2\u300151\u3001288\uff0d291\u3000\uff082003\uff09.<\/li>\n
          23. \u8239\u6d25\u516c\u4eba\u3001\u77e5\u8b58\u5de5\u5b66\u7684\u624b\u6cd5\u306b\u3088\u308b\u53cd\u5fdc\u4e88\u6e2c\u306e\u73fe\u72b6\u3068\u5c55\u671b\u3001\u5316\u5b66\u5de5\u5b66\u300167(8), 444-448 (2003).<\/li>\n
          24. \u8239\u6d25\u516c\u4eba\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u5229\u7528\u306b\u3088\u308b\u5408\u6210\u30c7\u30b6\u30a4\u30f3\u3068\u526f\u53cd\u5fdc\u751f\u6210\u7269\u306e\u4e88\u6e2c\u3001\u30d5\u30a1\u30a4\u30f3\u30b1\u30df\u30ab\u30eb\u300132, 17-24 (2003).<\/li>\n
          25. \u8239\u6d25\u516c\u4eba\u3001\u77e5\u8b58\u306e\u69cb\u9020\u5316\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u30de\u30a4\u30cb\u30f3\u30b0\u3000\uff0d\u30dd\u30ea\u30de\u30fc\u30a2\u30ed\u30a4\u958b\u767a\u3092\u5ff5\u982d\u306b\u304a\u3044\u3066-\u3001\u5316\u5b66\u5de5\u696d\u300153(4)\u3001281-285 (2002).<\/li>\n
          26. \u8239\u6d25\u516c\u4eba\u3001\u30c7\u30fc\u30bf\u30de\u30a4\u30cb\u30f3\u30b0\u624b\u6cd5\u306e\u7814\u7a76\u958b\u767a\u3078\u306e\u6d3b\u304b\u3057\u65b9\u201c-\uff08\uff11\uff09\u3001\uff08\uff12\uff09\u3001\uff08\uff13\uff09\u3001\u901a\u4fe1\u6559\u80b2\u8b1b\u5ea7\u30c6\u30ad\u30b9\u30c8\u3001\u6280\u8853\u60c5\u5831\u5354\u4f1a\uff082002\u5e74\uff09<\/li>\n
          27. \u8239\u6d25\u516c\u4eba\u3001\uff12\uff11\u4e16\u7d00\u306b\u81e8\u3080\u60c5\u5831\u5316\u5b66-\u305d\u306e\u5b66\u969b\u7684\u306a\u5e83\u304c\u308a\u3001CICSJ Bulletin, 19(1), 17 (2001).<\/li>\n
          28. \u8239\u6d25\u516c\u4eba\u3001\u77e5\u8b58\u306e\u69cb\u9020\u5316\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u30de\u30a4\u30cb\u30f3\u30b0\u3000\uff0d\u60c5\u5831\u306e\u5730\u56f3\u3092\u4f5c\u308b\uff0d\u3001\u5316\u5b66\u3068\u5de5\u696d\u3001\uff15\uff14\u5dfb\u3001\uff15\u53f7\u3001555-559\uff08\uff12\uff10\uff10\uff11\uff09.<\/li>\n
          29. \u8239\u6d25\u516c\u4eba\uff1a\u3000\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u5316\u5b66\u3001\u3000\u9ad8\u5727\u30ac\u30b9\u300137, 51 (2000).<\/li>\n
          30. \u8239\u6d25\u516c\u4eba\u3001\u9ad8\u6a4b\u5b5d\u5fd7\u3001\u524d\u7530\u77e5\u5b50\u3001\u5927\u5cf6\u4e00\u53f2\u3001\u5ea7\u8ac7\u4f1a\uff1a \u7814\u7a76\u958b\u767a\u306e\u52b9\u7387\u5316\u3001\u30da\u30c8\u30ed\u30c6\u30c3\u30af\u300123, 908-927 (2000).<\/li>\n
          31. \u5f8c\u85e4\u5c1a\u5f18\u3001\u85e4\u6c5f\u5e78\u4e00\u3001\u6210\u702c\u4e00\u90ce\u3001\u8239\u6d25\u516c\u4eba\u3001\u30bc\u30ed\u30a8\u30df\u30c3\u30b7\u30e7\u30f3\u3092\u76ee\u6307\u3057\u305f\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306e\u69cb\u7bc9\u3068\u5730\u57df\u7269\u8cea\u53ce\u652f\u3001\u5316\u5b66\u5de5\u696d\u300150, No.2, 1-7 (1999).<\/li>\n
          32. \u845b\u897f\u54f2\u90ce\u3001\u8239\u6d25\u516c\u4eba\uff1a Counter-Propagation\u624b\u6cd5\u3092\u7528\u3044\u305f\u5316\u5b66\u30c7\u30fc\u30bf\u306e\u89e3\u6790\u3001\u5316\u5b66\u3068\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u300120 (1), 3-11 (1998).<\/li>\n
          33. \u8239\u6d25\u516c\u4eba\u3001\u65b0\u3057\u3044\u30e2\u30c7\u30ea\u30f3\u30b0\u30fb\u30c4\u30fc\u30eb\u3068\u3057\u3066\u306eKohonen \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3001CICSJ Bulletin, 15(6), (1997).<\/li>\n
          34. \u8239\u6d25\u516c\u4eba\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306b\u3088\u308b\u6709\u6a5f\u5408\u6210\u7d4c\u8def\u8a2d\u8a08\uff0d\uff21\uff29\uff30\uff28\uff2f\uff33\u3092\u4f8b\u3068\u3057\u3066\uff0d\u3001\u5316\u5b66\u5de5\u696d\u300147, No.9, 1-13 (1996).<\/li>\n
          35. \u8239\u6d25\u516c\u4eba\u3001\u7523\u5b66\u5171\u540c\u7814\u7a76\u306b\u3088\u308b\u6709\u6a5f\u5408\u6210\u7d4c\u8def\u63a2\u7d22\u30b7\u30b9\u30c6\u30e0\uff21\uff29\uff30\uff28\uff2f\uff33\u306e\u958b\u767a\u3001\u4f01\u696d\u306e\u4e2d\u306e\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30b1\u30df\u30b9\u30c8\u30ea\u30fc\uff0d\u6750\u6599\u958b\u767a\u3078\u306e\u5229\u7528\uff0d\u3001\u5316\u5b66\u5de5\u5b66\u4f1a\u300116 (1995).<\/li>\n
          36. \u8239\u6d25\u516c\u4eba\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306b\u5408\u6210\u7d4c\u8def\u3092\u8a2d\u8a08\u3055\u305b\u308b\uff0d\u305d\u306e\u73fe\u72b6\u3068\u5c06\u6765\uff0d\u3001\u6709\u6a5f\u5408\u6210\u5316\u5b66\u8b1b\u7fd2\u4f1a\u30c6\u30ad\u30b9\u30c8\u3001\u6709\u6a5f\u5408\u6210\u5316\u5b66\u5354\u4f1a\u300119-31 (1995).<\/li>\n
          37. \u8239\u6d25\u516c\u4eba\uff1a\u30c7\u30fc\u30bf\u89e3\u6790\u306f\u3069\u3053\u307e\u3067\u81ea\u52d5\u5316\u3067\u304d\u308b\u304b\u3001\u5316\u5b66\u300149, 147(1994).<\/li>\n
          38. \u8239\u6d25\u516c\u4eba\u3001\u300c\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306b\u3088\u308b\u6709\u6a5f\u5408\u6210\u7d4c\u8def\u63a2\u7d22\u300d\u306e\u7279\u96c6\u306b\u3042\u305f\u3063\u3066\u3001CICSJ BUlletin\u300112(4), 2 (1994).<\/li>\n
          39. \u8239\u6d25\u516c\u4eba\u3001\u6709\u6a5f\u5408\u6210\u8a2d\u8a08\u30b7\u30b9\u30c6\u30e0\uff21\uff29\uff30\uff28\uff2f\uff33\u3001CICSJ Bulletin\u300112(4), 30 (1994).<\/li>\n
          40. \u8239\u6d25\u516c\u4eba\uff1a\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306b\u3088\u308b\u5316\u5b66\u69cb\u9020\u306e\u63a8\u5b9a\u3001\u3076\u3093\u305b\u304d\u3001526(1992).<\/li>\n
          41. \u8239\u6d25\u516c\u4eba\u3001\u7530\u8fba\u548c\u4fca\uff1a\u6709\u6a5f\u5408\u6210\u8a2d\u8a08\u3068\u69cb\u9020\u63a8\u5b9a\u3001\u5de5\u696d\u6750\u6599\u3001 40-6, 61(1992).<\/li>\n
          42. \u4f50\u3005\u6728\u614e\u4e00\u3001\u8239\u6d25\u516c\u4eba\uff1a\u6709\u6a5f\u5408\u6210\u7d4c\u8def\u3092\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306b\u8003\u3048\u3055\u305b\u308b\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fb\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3001 1-3, 64(1990).<\/li>\n
          43. \u4f50\u3005\u6728\u614e\u4e00\u3001\u8239\u6d25\u516c\u4eba\uff1a\u6709\u6a5f\u5408\u6210\u8a2d\u8a08\u30b7\u30b9\u30c6\u30e0 AIPHOS\u3001ELAN, 97\u53f7\u300122(1988).<\/li>\n
          44. \u8239\u6d25\u516c\u4eba\uff1a\u5316\u5b66\u3068\u60c5\u5831\uff0d\u5206\u5b50\u8a2d\u8a08\u306e\u59cb\u3081\u304b\u3089\u7d42\u308a\u307e\u3067 \u3000\u3000\u3000\u3000(2)\u305d\u306e\u69cb\u9020\u3092\u3082\u3064\u5316\u5408\u7269\u306e\u3064\u304f\u308a\u65b9(AIPHOS)\u3001\u7b2c\uff12\u56de\u300c\u5927\u5b66\u3068\u79d1\u5b66\u300d\u516c\u958b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30fb\u77e5\u8b58\u60c5\u5831\u306e\u4e16\u754c\u3092\u62d3\u304f\u3001\u671d\u65e5\u51fa\u7248\u793e\u3001123(1988).<\/li>\n
          45. \u4f50\u3005\u6728\u614e\u4e00\u3001\u9ad8\u6a4b\u7531\u96c5\u3001\u8239\u6d25\u516c\u4eba\uff1a\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u5316\u5b66\u3001\u2019\uff18\uff18\u5148\u7aef\u5316\u79d1\u5b66\u6280\u8853\u5e74\u9451\u3001284 (1988).<\/li>\n
          46. \u8239\u6d25\u516c\u4eba\u3001\u4f50\u3005\u6728\u614e\u4e00\uff1a\u7279\u96c6\u30c7\u30b6\u30a4\u30f3\u30b1\u30df\u30b9\u30c8\u30ea\uff0d\u300c\u6709\u6a5f\u5408\u6210\u30c7\u30b6\u30a4\u30f3\u300d\u30b3\u30f3\u30d4\u30e5\uff0d\u30bf\u306b\u3067\u304d\u308b\u3053\u3068\u3001\u5316\u5b66\u300141, 632(1986).<\/li>\n
          47. \u8239\u6d25\u516c\u4eba\u3001\u4f50\u3005\u6728\u614e\u4e00\uff1a\u81ea\u52d5\u69cb\u9020\u63a8\u5b9a\u306b\u304a\u3051\u308b\uff2e\uff2d\uff32\u30b9\u30da\u30af\u30c8\u30eb\u89e3\u6790\u306e\u73fe\u72b6\u3001\u5316\u5b66\u3001 40, 752(1985).<\/li>\n<\/ol>\n

            \u00a0<\/strong><\/p>\n

            \u3010\u7279\u8a31\u3011<\/p>\n

              \n
            1. \u7279\u516c\u5e7307-053235\u3001\u5316\u5b66\u53cd\u5fdc\u4e88\u6e2c\u88c5\u7f6e\u3001\u8239\u6d25\u516c\u4eba\u3001\u4f50\u3005\u6728\u613c\u4e00\u3001\u5c0f\u5bfa\u7bc4\u751f.<\/li>\n
            2. \u7279\u9858\u5e7310-258482\u3001(\u7c73\u56fd 09\/266,813) \u5206\u5b50\u306e\u53cd\u5fdc\u7279\u6027\u4e88\u6e2c\u65b9\u6cd5\u3001\u4f50\u85e4\u5f18\u5b50\u3001\u8239\u6d25\u516c\u4eba\u3001\u4e2d\u7530\u5fe0\u3001\u9df9\u91ce\u666f\u5b50.<\/li>\n
            3. \u7279\u958b2002-262869\u3001\u53cd\u5fdc\u6a5f\u69cb\u89e3\u6790\u65b9\u6cd5\u304a\u3088\u3073\u53cd\u5fdc\u6a5f\u69cb\u89e3\u6790\u88c5\u7f6e\u3001\u9ad8\u6a4b\u5d07\u5b8f\u3001\u8239\u6d25\u516c\u4eba\u3001\u6c5f\u9593\u7fa9\u5247.<\/li>\n
            4. \u7279\u98582002-281981\u3001\u53cd\u5fdc\u6a5f\u69cb\u89e3\u6790\u30d7\u30ed\u30b0\u30e9\u30e0\u304a\u3088\u3073\u5f53\u8a72\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u8a18\u9332\u3057\u305f\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u8aad\u307f\u53d6\u308a\u53ef\u80fd\u306a\u8a18\u9332\u5a92\u4f53\u3001\u306a\u3089\u3073\u306b\u53cd\u5fdc\u6a5f\u69cb\u89e3\u6790\u88c5\u7f6e\u3001\u9ad8\u6a4b\u5d07\u5b8f\u3001\u8239\u6d25\u516c\u4eba\u3001\u6c5f\u9593\u7fa9\u5247<\/li>\n<\/ol>\n

               <\/p>\n

              \u25cb\u5b66\u4f1a\u767a\u8868<\/strong><\/p>\n

              \u3010\u56fd\u969b\u4f1a\u8b70\u62db\u5f85\u8b1b\u6f14\u3011<\/strong><\/p>\n

                \n
              1. Inverse-QSAR: Strasbourg Summer School 2016, Strasbourg\u5927\u5b66\u3001\u30d5\u30e9\u30f3\u30b92018\/6\/30<\/li>\n
              2. Soft Sensor : Chemoinfomatic Model for Efficient Control and Operation in Chemical Plants Chemoinformatics Strasbourg Summer School 2016, Strasbourg\u5927\u5b66\u3001\u30d5\u30e9\u30f3\u30b92016\/6\/28<\/li>\n
              3. Development of a knowledge-generating platform driven by big data in drug discovery through production processes, 2015 Herman Skolnik Award Symposium, ACS national meeting, Boston 2015\/8\/18.<\/li>\n
              4. 2008 June: French-Japanese workshop on computer chemistry (Strasbourg, France)<\/li>\n
              5. 2006 June: 13th<\/sup> German-Japanese Workshop on Chemical Information (Tokyo, Japan)<\/li>\n
              6. 2005 Sep: KES2005 (Melborne, Australia)<\/li>\n
              7. 2005 May: The first international conference on Complex Medical Engineering (takamatsu, Japan\uff09
                \n\u30fb Knowledge Base and logical operation of Reaction Information for Organic Synthesis Design and Evaluation of Reaction Paths<\/li>\n
              8. 2005 Feb: 12th<\/sup> German-Japanese Workshop on Chemical Information (Dresden, Germany)<\/li>\n
              9. 2003 Aug: 3rd<\/sup> Indo-Us Workshop on Mathematical Chemistry (Duluth, USA.<\/li>\n
              10. 2003 May: e-Drug Discovery (Korea)Application of Novel Molecular Alignment Method Using Hopfield Neural Network to 3D-QSAR<\/li>\n
              11. 2002 July: Interact2002 (Sydney, Australia)
                \n\u30fb New Molecular Surfaced-Based 3D-QSAR Method Using Kohonen Neural Network and Multiway PLS<\/li>\n
              12. 2002 May: The 9th<\/sup> Korea-Japan Joint Symposium on Drug Design and development
                \n\u30fbNew Molecular Surface-Based 3D-QSAR Method Using Kohonen Neural Network and Multiway PLS.<\/li>\n
              13. 2002 Jan: Drug Discovery Japan (Tokyo, Japan)
                \n\u30fbKnowledge Base and Logical Operation of Reaction Information for Organic Synthesis Design and Evaluation of reaction Paths.<\/li>\n
              14. 2001 Oct: 10th<\/sup> German-Japanese Workshop on Chemical Information (Potsdam, Germany)
                \n\u30fb Knowledge Base and Logical Operation of Reaction Information for Organic Synthesis Design and Evaluation of Reaction Paths.<\/li>\n
              15. 2001 Aug: International Conference on Analytical Chemistry\u3000(Tokyo, Japan)
                \n\u30fb Development of 3D-QSAR Method by Kohonen Network and Multiway-PLS Analysis<\/li>\n
              16. 2001 Aug: National meeting of American Chemical Society (Chicago, USA)\u00a0
                \n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 in Skolnik Award symposium
                \n\u30fb Derivation of Knowledge from Reaction Database and The Application to Synthesis Design.<\/li>\n
              17. 2000 Dec: Pacifichem2000 (Honolulu, USA)
                \n\u30fb Complementary Use of Synthesis Design System (AIPHOS, KOSP and TOSP) in the internet.<\/li>\n
              18. 2000 May: 9th<\/sup> German-Japanese Workshop on Chemical Information (Tsukuba, Japan)
                \n\u30fb Synthesis Design in the Internet1<\/li>\n
              19. 1998 Jan: International Workshop on Chemical Safety Research ’98
                \n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 – Safety of Chlorine Compounds -\u3000 (Tsukuba, Japan)
                \n\u30fb Estimation of Structural Requirement for PCDFs Based on CoMFA Modeling Enhanced by GA based Region Selection.<\/li>\n
              20. 1998 Oct: 8th<\/sup> German-Japanese Workshop on Chemical Information (Karlsruhe, Germany)
                \n\u30fb Structure Elucidation on Net (SeoN)
                \n\u30fb Integration of Programs for Synthesis Design (AIPHOS)<\/li>\n<\/ol>\n

                 <\/p>\n

                \u3010\u56fd\u5185\u5b66\u4f1a\u62db\u5f85\u8b1b\u6f14\u3011<\/strong>\uff08\u6628\u5e74\u5ea6\u5206\u306e\u307f\uff09<\/p>\n

                  \n
                1. \u533b\u85ac\u54c1\u5275\u85ac\u304b\u3089\u88fd\u9020\u307e\u3067\u306e\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306e\u6d3b\u7528 \u30d8\u30eb\u30b9\u30b1\u30a2IT\uff12\uff10\uff11\uff16\u00a0\u00a0\u00a0\u00a0\u00a0 \u6771\u4eac\u30d3\u30c3\u30b0\u30b5\u30a4\u30c8 2016\/4\/20<\/li>\n
                2. TMP\u304a\u3088\u3073TMP\u30b8\u30e3\u30f3\u30d7\u4e88\u6e2c\u30e2\u30c7\u30eb\u3092\u5229\u7528\u3057\u305f\u7701\u30a8\u30cd\u578bMBR\u6563\u6c17\u30e2\u30fc\u30c9\u306e\u8a2d\u8a08 \u65e5\u672c\u819c\u5b66\u4f1a\u7b2c\uff13\uff18\u5e74\u4f1a \u65e9\u7a32\u7530\u5927\u5b66\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 2016\/5\/11<\/li>\n
                3. \u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u5316\u5b66\u3078\u306e\u30d1\u30e9\u30c0\u30a4\u30e0\u30b7\u30d5\u30c8 \u5317\u6d77\u9053\u5927\u5b66\u89e6\u5a92\u79d1\u5b66\u7814\u7a76\u6240\u30bb\u30df\u30ca\u30fc\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u5317\u6d77\u9053\u5927\u5b66\u89e6\u5a92\u79d1\u5b66\u7814\u7a76\u6240\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 2016\/5\/30<\/li>\n
                4. \u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u5316\u5b66\u3078\u306e\u30d1\u30e9\u30c0\u30a4\u30e0\u30b7\u30d5\u30c8\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u4e5d\u5dde\u5927\u5b66\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u7814\u7a76\u4f1a\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u4e5d\u5dde\u5927\u5b66\u4f0a\u90fd\u30ad\u30e3\u30f3\u30d1\u30b9\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 2016\/7\/12<\/li>\n
                5. “\u30c7\u30fc\u30bf\u96c6\u7d04\u578b\u5316\u5b66\u7814\u7a76\u3078\u306e\u30d1\u30e9\u30c0\u30a4\u30e0\u30b7\u30d5\u30c8\uff5e\u5206\u91ce\u878d\u5408\u304c\u3082\u305f\u3089\u3059\u53ef\u80fd\u6027\uff5e”\u00a0\u00a0\u00a0\u00a0 \u30b9\u30fc\u30d1\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30fb\u30bb\u30df\u30ca\u30fc\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u6a5f\u68b0\u632f\u8208\u4f1a\u9928\uff08\u6771\u4eac\uff09\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 2016\/9\/21<\/li>\n
                6. TMP\u304a\u3088\u3073TMP \u30b8\u30e3\u30f3\u30d7\u4e88\u6e2c\u30e2\u30c7\u30eb\u3092 \u5229\u7528\u3057\u305f\u7701\u30a8\u30cd\u578b MBR \u6563\u6c17\u30e2\u30fc\u30c9\u306e\u8a2d\u8a08\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u30cb\u30e5\u30fc\u30e1\u30f3\u30d6\u30ec\u30f3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u6771\u4eac\u30d3\u30c3\u30b0\u30b5\u30a4\u30c8\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 2016\/10\/27<\/li>\n
                7. \u9023\u7d9a\u751f\u7523\u30d7\u30ed\u30bb\u30b9\u306b\u304a\u3051\u308b\uff30\uff21\uff34\u306b\u3064\u3044\u3066\u00a0\u00a0\u00a0\u00a0\u00a0 \uff29\uff33\uff30\uff25\u65e5\u672c\u672c\u90e8\uff12\uff10\uff11\uff16\u5e74\u51ac\u5b63\u5927\u4f1a\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u30e1\u30eb\u30d1\u30eb\u30af\u5927\u962a\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 2016\/12\/2<\/li>\n<\/ol>\n

                   <\/p>\n

                  \u3010\u56fd\u5185\u5916\u5b66\u4f1a\u767a\u8868<\/strong>\u3011\u591a\u6570<\/p>\n

                   <\/p>\n

                  \u25cb\u79d1\u5b66\u7814\u7a76\u8cbb\u88dc\u52a9\u91d1\u306a\u3069\u5916\u90e8\u8cc7\u91d1\u7b49\u7372\u5f97\u5b9f\u7e3e<\/strong><\/p>\n

                  \u3010\u904e\u53bb10\u5e74\u5206\u3092\u5225\u7d19\u306b\u8a18\u8f09\u3057\u307e\u3057\u305f\u3011<\/strong><\/p>\n

                   <\/p>\n

                  \u25cb\u5b66\u5354\u4f1a\u53ca\u3073\u56fd\u7b49\u306b\u304a\u3051\u308b\u6d3b\u52d5
                  \n<\/strong>\uff08\u5b66\u5354\u4f1a\u53ca\u3073\u56fd\u7b49\u306e\u5be9\u8b70\u4f1a\u53c8\u306f\u59d4\u54e1\u4f1a\u7b49\u306e\u5f79\u8077\u540d\u30fb\u671f\u9593\u3092\u8a18\u8f09\uff09<\/p>\n

                    \n
                  1. \u7d4c\u6e08\u7523\u696d\u7701\u30fb\u300c\u7701\u30a8\u30cd\u578b\u96fb\u5b50\u30c7\u30d0\u30a4\u30b9\u6750\u6599\u306e\u8a55\u4fa1\u6280\u8853\u306e\u958b\u767a\u4e8b\u696d\uff08\u6a5f\u80fd\u6027\u6750\u6599\u306e\u793e\u4f1a\u5b9f\u88c5\u3092\u652f\u3048\u308b\u9ad8\u901f\u30fb\u9ad8\u52b9\u7387\u306a\u5b89\u5168\u6027\u8a55\u4fa1\u6280\u8853\u306e\u958b\u767a-\u6bd2\u6027\u95a2\u9023\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u4eba\u5de5\u77e5\u80fd\u306b\u3088\u308b\u6b21\u4e16\u4ee3\u578b\u5b89\u5168\u6027\u4e88\u6e2c\u624b\u6cd5\u306e\u958b\u767a-\uff09\u300d\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u30ea\u30fc\u30c0\u30fc\u30012017\u5e746\u6708\uff5e5\u304b\u5e74\u3002<\/li>\n
                  2. \u65e5\u672c\u533b\u7642\u7814\u7a76\u958b\u767a\u6a5f\u69cb(AMED)\u30fb\u5275\u85ac\u7b49LS\u4e8b\u696d\u8ab2\u984c\u8a55\u4fa1\u59d4\u54e1\u4f1a\u59d4\u54e1\u30012017\u5e741\u6708\uff5e\u73fe\u5728<\/li>\n
                  3. \u6587\u90e8\u79d1\u5b66\u7701\u30fb\u79d1\u5b66\u6280\u8853\u632f\u8208\u6a5f\u69cb\u300c\u6226\u7565\u76ee\u6a19\u306e\u7b56\u5b9a\u306b\u4fc2\u308b\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u300d\u59d4\u54e1\u30012016\u5e7410\u6708\uff5e2017\u5e743\u6708<\/li>\n
                  4. \u6587\u90e8\u79d1\u5b66\u7701\u30fb\u7d71\u5408\u578b\u6750\u6599\u958b\u767a\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u59d4\u54e1\u4f1a\u59d4\u54e1\u30012015\u5e749\u6708\uff5e2016\u5e743\u6708<\/li>\n
                  5. \u79d1\u5b66\u6280\u8853\u632f\u8208\u6a5f\u69cb\u30fb\u79d1\u5b66\u6280\u8853\u60c5\u5831\u59d4\u54e1\u4f1a\u59d4\u54e1\u30012014\u5e744\u6708\uff5e2016\u5e743\u6708<\/li>\n
                  6. \u79d1\u5b66\u6280\u8853\u632f\u8208\u6a5f\u69cb\u30fb\u79d1\u5b66\u6280\u8853\u60c5\u5831\u4e8b\u696d\u3000\u6226\u7565\u691c\u8a0e\u59d4\u54e1\u4f1a\u3000\u8a55\u4fa1\u90e8\u4f1a\u59d4\u54e1\u30012013\u5e744\u6708\uff5e2014\u5e743\u6708<\/li>\n
                  7. \u65e5\u672c\u5316\u5b66\u4f1a
                    \n\u30fb\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u90e8\u4f1a\u90e8\u4f1a\u9577(2020\u5e743\u6708\uff5e)
                    \n\u30fb\u60c5\u5831\u5316\u5b66\u90e8\u4f1a\u90e8\u4f1a\u9577\uff082005\u5e74\uff5e2014\u5e74\uff09
                    \n\u30fb\u96fb\u5b50\u30b8\u30e3\u30fc\u30ca\u30ebJournal of Computer Aided Chemistry\u7de8\u96c6\u4e8b\u52d9\u5c40\u304a\u3088\u3073\u7de8\u96c6\u59d4\u54e1\u9577\uff081998\u5e74\uff5e\u73fe\u5728\uff09
                    \n\u30fb\u60c5\u5831\u5316\u5b66\u90e8\u4f1a\u8a8c(CICSJ Bulletin)\u7de8\u96c6\u4e8b\u52d9\u5c40\uff081998\u5e742006\u5e74\uff09<\/li>\n
                  8. \u65e5\u672c\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u5316\u5b66\u4f1a
                    \n\u30fb\u65e5\u672c\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u5316\u5b66\u4f1a\u7406\u4e8b\u304a\u3088\u3073\u7279\u5225\u7de8\u96c6\u59d4\u54e1\u9577\uff082004\u5e74\uff5e\u73fe\u5728\uff09<\/li>\n
                  9. \u5316\u5b66\u60c5\u5831\u5354\u4f1a\u7406\u4e8b\uff082004\u5e74\uff5e\u73fe\u5728\uff09<\/li>\n
                  10. 2011\u5e746\u6708\u3000International Coference on Chemical Structure(\u30aa\u30e9\u30f3\u30c0)\u3000\u5f79\u5272\uff1a\u79d1\u5b66\u6280\u8853\u8a55\u4fa1\u59d4\u54e1\u304a\u3088\u3073\u5b9f\u884c\u59d4\u54e1<\/li>\n
                  11. 2011\u5e7411\u6708\u3000\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30c3\u30af\u30b9\u56fd\u969b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff08\u65e5\u672c\uff09\u3000\u5f79\u5272\uff1a\u4e3b\u50ac\u8005<\/li>\n
                  12. 2010\u5e74\uff16\u6708\u3000Summer seminar on Chemoinformatics (Obernai, France) \u5f79\u5272\uff1a\u79d1\u5b66\u6280\u8853\u8a55\u4fa1\u59d4\u54e1<\/li>\n
                  13. 2008\u5e746\u6708\u3000\u30aa\u30e9\u30f3\u30c0\u30008 th<\/sup> International Conference on Chemical Structure
                    \n\u4e3b\u50ac\u6a5f\u95a2\uff1a\u3000\u30a2\u30e1\u30ea\u30ab\u5316\u5b66\u4f1a\u3001\u30e8\u30fc\u30ed\u30c3\u30d1\u5404\u56fd\u5316\u5b66\u4f1a\u3001\u65e5\u672c\u5316\u5b66\u4f1a
                    \n\u5f79\u5272\u3000\u3000\uff1a\u3000\u7d44\u7e54\u59d4\u54e1\u4f1a\u59d4\u54e1\u3001\u79d1\u5b66\u8a55\u4fa1\u59d4\u54e1\u4f1a\u59d4\u54e1<\/li>\n
                  14. 2005\u5e746\u6708\u3000\u30aa\u30e9\u30f3\u30c0\u3000\u30007th<\/sup> International Conference on Chemical Structure
                    \n\u4e3b\u50ac\u6a5f\u95a2\uff1a\u3000\u30a2\u30e1\u30ea\u30ab\u5316\u5b66\u4f1a\u3001\u30e8\u30fc\u30ed\u30c3\u30d1\u5404\u56fd\u5316\u5b66\u4f1a\u3001\u65e5\u672c\u5316\u5b66\u4f1a
                    \n\u5f79\u5272\u3000\u3000\uff1a\u3000\u7d44\u7e54\u59d4\u54e1\u4f1a\u59d4\u54e1\u3001\u79d1\u5b66\u8a55\u4fa1\u59d4\u54e1\u4f1a\u59d4\u54e1<\/li>\n
                  15. 2003\u5e7410\u670812-16\u65e5\u3001\u4e0a\u6d77\u3067\u958b\u50ac\u306e\u201dInternational Conference on Chemometrics and Bioinformatics in Asia\u201d\u306e\u7d44\u7e54\u59d4\u54e1\u4f1a\u59d4\u54e1\u3002<\/li>\n
                  16. 2002\u5e746\u6708\u3000\u30aa\u30e9\u30f3\u30c0\u3000\u30006th International Conference on Chemical Structure
                    \n\u4e3b\u50ac\u6a5f\u95a2\uff1a\u3000\u30a2\u30e1\u30ea\u30ab\u5316\u5b66\u4f1a\u3001\u30e8\u30fc\u30ed\u30c3\u30d1\u5404\u56fd\u5316\u5b66\u4f1a\u3001\u65e5\u672c\u5316\u5b66\u4f1a
                    \n\u5f79\u5272\u3000\u3000\uff1a\u3000\u7d44\u7e54\u59d4\u54e1\u4f1a\u59d4\u54e1\u3001\u79d1\u5b66\u8a55\u4fa1\u59d4\u54e1\u4f1a\u59d4\u54e1<\/li>\n
                  17. 1987\u5e74\u306b\u4efb\u610f\u56e3\u4f53\u30fb\uff23\uff28\uff25\uff2d\uff29\uff23\uff33\u7814\u7a76\u4f1a\uff08\u5f8c\u306e\uff23\uff21\uff23(Computer Aided Chemistry)\u30d5\u30a9\u30fc\u30e9\u30e0\uff09\u3092\u8a2d\u7acb\u3057\u3001\u5316\u5b66\u7cfb\u4f01\u696d\uff13\uff10\u793e\u3001\u5b66\u8853\u754c\u7814\u7a76\u8005\u306a\u3069\u3092\u542b\u3081\u305f\u7523\u5b66\u9023\u643a\u306b\u3088\u308b\u5e83\u7bc4\u306a\u7814\u7a76\u304a\u3088\u3073\u7814\u7a76\u652f\u63f4\u6d3b\u52d5\u3092\u884c\u3063\u3066\u3044\u308b\u3002<\/li>\n
                  18. 1989\uff5e1995\u5e74\u3001\u95a2\u897f\u5316\u5b66\u5de5\u696d\u5354\u4f1a\u306b\u3088\u308b\u300c\u6709\u6a5f\u5408\u6210\u8a2d\u8a08\u30b7\u30b9\u30c6\u30e0AIPHOS\u306e\u5b9f\u7528\u5316\u7814\u7a76\u300d\uff08\u53c2\u52a0\u4f01\u696d\uff12\uff15\u793e\uff09\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u30ea\u30fc\u30c0\u30fc\u3092\u52d9\u3081\u308b\u3002<\/li>\n
                  19. 1991\u5e74\uff5e1993\u5e74\u3001\u79d1\u5b66\u6280\u8853\u5e81\u59d4\u8a17\u306e\u300c\u30d5\u30a1\u30af\u30c8\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306e\u76f8\u4e92\u904b\u7528\u6027\u306b\u95a2\u3059\u308b\u8abf\u67fb\u300d(\u8abf\u67fb\u59d4\u54e1\u9577\uff1a\u5316\u5b66\u60c5\u5831\u5354\u4f1a\u4f1a\u9577\u30fb\u5343\u539f\u79c0\u662d)\u306b\u95a2\u3059\u308b\u59d4\u54e1\u4f1a\u59d4\u54e1\u3002<\/li>\n
                  20. 1995\u5e74\uff5e1998\u3001\u7406\u5316\u5b66\u7814\u7a76\u6240\u30fb\u5631\u8a17\u7814\u7a76\u54e1\u3001\u5171\u540c\u7814\u7a76\u54e1\u3001\u5ba2\u54e1\u7814\u7a76\u54e1\u3002\u7d99\u7d9a\u4e2d\u3002<\/li>\n
                  21. 1996\u5e74\uff5e1998\u5e74\u3001\u901a\u7523\u7701\u5148\u5c0e\u8abf\u67fb\u7814\u7a76\u300c\u8a08\u7b97\u6a5f\u6750\u6599\u8a2d\u8a08\u306e\u8abf\u67fb\u7814\u7a76\u300d\uff08\u59d4\u54e1\u9577\u5e73\u77f3\u6b21\u90ce\uff09\u59d4\u54e1\u4f1a\u59d4\u54e1\u3002<\/li>\n
                  22. 1998\u5e74\u3001\u65b0\u30a8\u30cd\u30eb\u30ae\u30fc\u30fb\u7523\u696d\u6280\u8853\u7dcf\u5408\u958b\u767a\u6a5f\u69cb\uff08NEDO\uff09\u306b\u304a\u3051\u308b\u300c\u9ad8\u6a5f\u80fd\u6750\u6599\u8a2d\u8a08\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u300d\u4e8b\u524d\u6280\u8853\u8a55\u4fa1\u59d4\u54e1\u4f1a\uff08\u59d4\u54e1\u9577\uff1a\u304a\u8336\u5927\u30fb\u7d30\u77e2\u6cbb\u592b\u6559\u6388\uff09\u59d4\u54e1\u3002<\/li>\n
                  23. 1998\u5e74\uff5e2000\u5e74\u3001\u5316\u5b66\u6280\u8853\u6226\u7565\u63a8\u9032\u6a5f\u69cb\uff08\uff2a\uff23\uff29\uff29\uff09\u30c6\u30af\u30ce\u30a4\u30f3\u30d5\u30e9\u59d4\u54e1\u4f1a
                    \n\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u79d1\u5b66\u5206\u79d1\u4f1a\u59d4\u54e1\uff08\u5ea7\u9577\uff1a\u65ed\u5316\u6210\u30fb\u5c71\u7530\u77e5\u7d14\uff09
                    \n\u30fb\u751f\u7523\u52a0\u5de5\u30fb\u7d44\u7acb\u3066\u5206\u79d1\u4f1a\u59d4\u54e1\uff08\u5ea7\u9577\uff1a\u6771\u5de5\u5927\u30fb\u4ef2\u3000\u52c7\u6b21\u6559\u6388\uff09\u3002<\/li>\n
                  24. 1999\u5e741\u6708\uff5e3\u6708\u3000\u7523\u696d\u7acb\u5730\u7814\u7a76\u6240\u30fb\u6280\u8853\u8a55\u4fa1\u59d4\u54e1\u3001\u300c\u5e73\u621010\u5e74\u5ea6\u30e2\u30c7\u30eb\u30ea\u30b5\u30a4\u30af\u30eb\u30b7\u30b9\u30c6\u30e0\u300c\u5ec3\u30d7\u30e9\u30b9\u30c1\u30c3\u30af\u30e2\u30c7\u30eb\u30ea\u30b5\u30a4\u30af\u30eb\u30b7\u30b9\u30c6\u30e0\u8abf\u67fb\u300d<\/li>\n
                  25. 1999\u5e74\uff5e2001\u5e74\u3001\u901a\u7523\u7701\u5148\u5c0e\u8abf\u67fb\u7814\u7a76\u300c\u5316\u5b66\u53cd\u5fdc\u30b7\u30df\u30e5\u30ec\u30fc\u30bf\u6280\u8853\u8abf\u67fb\u300d\uff08\u59d4\u54e1\u9577\uff1a\u6771\u5927\u30fb\u5e73\u5c3e\u516c\u5f66\u6559\u6388\uff09\u306e\u526f\u59d4\u54e1\u9577\u3002<\/li>\n
                  26. 2000\u5e7411\u6708\uff5e2004\u5e743\u6708\u3001\u5bcc\u5c71\u770c\u5de5\u696d\u6280\u8853\u30bb\u30f3\u30bf\u30fc\u3001\u5ba2\u54e1\u7814\u7a76\u54e1<\/li>\n
                  27. 2000\u5e7411\u6708\uff5e2002\u5e743\u6708\u3001\u5316\u5b66\u6280\u8853\u6226\u7565\u63a8\u9032\u6a5f\u69cb\uff08JCII\uff09\u306e\u300c\u77e5\u7684\u5408\u6210\u30ed\u30dc\u30c3\u30c8\u6280\u8853\u8abf\u67fb\u59d4\u54e1\u4f1a\u300d\uff08\u59d4\u54e1\u9577\uff1a\u4eac\u5927\u30fb\u5409\u7530\u6f64\u4e00\u6559\u6388\uff09\u306b\u304a\u3044\u3066\u59d4\u54e1\u3092\u52d9\u3081\u3001\u30ed\u30dc\u30c3\u30c8\u306b\u3088\u308b\u5316\u5b66\u53cd\u5fdc\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306e\u69cb\u7bc9\u3001\u77e5\u8b58\u8a98\u5c0e\u3001\u304a\u3088\u3073\u5408\u6210\u30ed\u30dc\u30c3\u30c8\u306e\u6700\u9069\u5236\u5fa1\u306e\u305f\u3081\u306e\u77e5\u8b58\u5f62\u614b\u306e\u63d0\u6848\u3092\u884c\u3046\u3002<\/li>\n
                  28. 2000\u5e7412\u6708\uff5e2001\u5e743\u6708\u3001\u5316\u5b66\u5de5\u5b66\u4f1a\u3001\u5e73\u621012\u5e74\u5ea6\u77e5\u7684LCA\u60c5\u5831\u751f\u6210\u6a5f\u80fd\u306e\u958b\u767a\u3068\u5b9f\u88c5\u304a\u3088\u3073\u30f4\u30a1\u30ea\u30c7\u30fc\u30b7\u30e7\u30f3\u306b\u95a2\u3059\u308b\u8abf\u67fb\u7814\u7a76\u59d4\u54e1\u4f1a<\/li>\n
                  29. 2001\u5e745\u6708\uff5e2002\u5e743\u6708\u3001\u8ca1\u56e3\u6cd5\u4eba\u79d1\u5b66\u6280\u8853\u4ea4\u6d41\u8ca1\u56e3\u3001\u5faa\u74b0\u578b\u74b0\u5883\u90fd\u5e02\u69cb\u7bc9\u306e\u305f\u3081\u306e\u57fa\u76e4\u6280\u8853\u958b\u767a\u59d4\u54e1\u4f1a\u59d4\u54e1<\/li>\n
                  30. 2001\u5e747\u6708\uff5e\u3000\u65b0\u30a8\u30cd\u30eb\u30ae\u30fc\u30fb\u7523\u696d\u6280\u8853\u7dcf\u5408\u958b\u767a\u6a5f\u69cb\uff08NEDO\uff09,\u300c\u5316\u5b66\u7269\u8cea\u30ea\u30b9\u30af\u524a\u6e1b\u77e5\u8b58\u5275\u9020\u30b7\u30b9\u30c6\u30e0\u300d\u7814\u7a76\u4f1a\u59d4\u54e1<\/li>\n
                  31. 2001\u5e749\u6708\uff5e2002\u5e743\u6708\u3001\u5316\u5b66\u5de5\u5b66\u4f1a\u3001\u5e73\u621013\u5e74\u5ea6\u77e5\u7684LCA\u60c5\u5831\u751f\u6210\u6a5f\u80fd\u306e\u958b\u767a\u3068\u5b9f\u88c5\u304a\u3088\u3073\u30f4\u30a1\u30ea\u30c7\u30fc\u30b7\u30e7\u30f3\u306b\u95a2\u3059\u308b\u8abf\u67fb\u7814\u7a76\u59d4\u54e1\u4f1a<\/li>\n
                  32. 2001\u5e7412\u6708\uff5e2004\u5e743\u6708\u3000\u5316\u5b66\u6280\u8853\u6226\u7565\u63a8\u9032\u6a5f\u69cb\uff08JCII\uff09\u306e\u300c\u30ea\u30b9\u30af\u524a\u6e1b\u30fb\u6975\u5c0f\u5316\u306e\u305f\u3081\u306e\u65b0\u898f\u53cd\u5fdc\u5275\u51fa\u30fb\u8a55\u4fa1\u6280\u8853\u306e\u958b\u767a\u300d\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u59d4\u54e1\u4f1a\u59d4\u54e1\u9577<\/li>\n
                  33. 2002\u5e749\u6708\uff5e2003\u5e743\u6708\u3001\u65b0\u30a8\u30cd\u30eb\u30ae\u30fc\u30fb\u7523\u696d\u6280\u8853\u7dcf\u5408\u958b\u767a\u6a5f\u69cb\uff08NEDO\uff09\u6280\u8853\u8a55\u4fa1\u59d4\u54e1\u4f1a\u5206\u79d1\u4f1a\u59d4\u54e1\uff08\u9ad8\u6a5f\u80fd\u6750\u6599\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u4e8b\u5f8c\u8a55\u4fa1\u59d4\u54e1\uff09<\/li>\n
                  34. 2002\u5e749\u6708\uff5e2004\u5e743\u6708\u3001\u65b0\u30a8\u30cd\u30eb\u30ae\u30fc\u30fb\u7523\u696d\u6280\u8853\u7dcf\u5408\u958b\u767a\u6a5f\u69cb\uff08NEDO\uff09\u6280\u8853\u8a55\u4fa1\u59d4\u54e1<\/li>\n
                  35. 2002\u5e7410\u6708\uff5e2003\u5e74\uff13\u6708\u3001\u8ca1\u56e3\u6cd5\u4eba\u30d5\u30a1\u30a4\u30f3\u30bb\u30e9\u30df\u30c3\u30af\u30b9\u30bb\u30f3\u30bf\u30fc\u9ad8\u6e29\u6c34\u7d20\u5206\u96e2\u819c\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u30fb\u8abf\u67fb\u59d4\u54e1\u4f1a\u3001\u6c34\u7d20\u5206\u96e2\u819c\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u30ef\u30fc\u30ad\u30f3\u30b0\u30b0\u30eb\u30fc\u30d7\u59d4\u54e1<\/li>\n
                  36. 2002\u5e7411\u6708\uff5e2004\u5e743\u6708\u3000\u65b0\u30a8\u30cd\u30eb\u30ae\u30fc\u30fb\u7523\u696d\u6280\u8853\u7dcf\u5408\u958b\u767a\u6a5f\u69cb\uff08NEDO\uff09\u300c\u30ca\u30ce\u6a5f\u80fd\u6750\u6599\u306e\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u6280\u8853\u306b\u95a2\u3059\u308b\u8abf\u67fb\u7814\u7a76\u300d\u59d4\u54e1\u4f1a\u59d4\u54e1<\/li>\n
                  37. 2002\u5e74\uff5e2005\u5e74\u3001\u6d77\u5916\u306e\u5316\u5b66\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u4f01\u696d\u306eScientific Advisory Board: Row2(\u30a2\u30e1\u30ea\u30ab\u5408\u8846\u56fd)\u3001Molecular Network\uff08\u30c9\u30a4\u30c4\uff09<\/li>\n
                  38. 2004\u5e744\u6708\uff5e\u73fe\u5728\u3001\u65b0\u30a8\u30cd\u30eb\u30ae\u30fc\u30fb\u7523\u696d\u6280\u8853\u7dcf\u5408\u958b\u767a\u6a5f\u69cb\uff08NEDO\uff09\u3001NEDO\u6280\u8853\u8a55\u4fa1\u59d4\u54e1<\/li>\n
                  39. 2006\u5e74\uff14\u6708\uff5e2008\u5e743\u6708\u3001JST\u3001\u5316\u5b66\u7269\u8cea\u30ea\u30f3\u30af\u30bb\u30f3\u30bf\u30fc\u30d7\u30ed\u30c8\u30bf\u30a4\u30d7\u59d4\u54e1\u4f1a\u59d4\u54e1\u9577<\/li>\n<\/ol>\n

                     <\/p>\n

                    \u25cb\u793e\u4f1a\u53ca\u3073\u5730\u57df\u3078\u306e\u8ca2\u732e
                    \n<\/strong>\uff08\u516c\u958b\u8b1b\u5ea7\u3001\u51fa\u524d\u8b1b\u7fa9\u7b49\u53ca\u3073\u4f01\u696d\u3068\u306e\u5171\u540c\u7814\u7a76\u3092\u8a18\u8f09\uff09<\/p>\n

                      \n
                    1. \u3053\u308c\u307e\u3067\u65e5\u672c\u5316\u5b66\u4f1a\u60c5\u5831\u5316\u5b66\u90e8\u4f1a\u4e3b\u50ac\u306e\u60c5\u5831\u5316\u5b66\uff08\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\uff09\u5165\u9580\u8b1b\u5ea7\u306a\u3069\u3067\u591a\u6570\u306e\u516c\u958b\u8b1b\u5ea7\u3092\u62c5\u5f53\u3057\u305f\u3002<\/li>\n
                    2. \u5e73\u62108\u5e74\u306bComputer Aided Chemistry\u30d5\u30a9\u30fc\u30e9\u30e0\uff08CAC\u30d5\u30a9\u30fc\u30e9\u30e0\uff09\u3092\u8a2d\u7acb\u3057\u3001\u6bce\u5e74\u8b1b\u6f14\u4f1a\u304a\u3088\u3073\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u95a2\u4fc2\u306e\u8b1b\u7fd2\u4f1a\u3092\u958b\u50ac\u3057\u3066\u304d\u305f\u3002CAC\u30d5\u30a9\u30fc\u30e9\u30e0\u306eURL\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3002http:\/\/www.cheminfonavi.co.jp\/cac\/<\/a><\/li>\n
                    3. \u4f01\u696d\u3068\u306e\u5171\u540c\u7814\u7a76\u306f\u5916\u90e8\u8cc7\u91d1\u7372\u5f97\u72b6\u6cc1\u306e\u5171\u540c\u7814\u7a76\u8cbb\u306b\u95a2\u3059\u308b\u8cc7\u6599\u306e\u901a\u308a\u591a\u6570\u884c\u3063\u3066\u304d\u3066\u3044\u308b\u3002\u5185\u5bb9\u306f\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u624b\u6cd5\u306e\u5171\u540c\u958b\u767a\u304b\u3089\u305d\u306e\u5b9f\u8df5\u7684\u5fdc\u7528\u307e\u3067\u591a\u5c90\u306b\u308f\u305f\u3063\u3066\u3044\u308b\u3002\u3053\u306e\u5171\u540c\u7814\u7a76\u3092\u901a\u3057\u3066\u7523\u696d\u754c\u306b\u304a\u3051\u308b\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u5316\u5b66\u306e\u610f\u7fa9\u3092\u5f79\u5272\u3092\u5e83\u304f\u8a8d\u8b58\u3057\u3066\u3082\u3089\u3046\u3053\u3068\u304c\u3067\u304d\u305f\u3002<\/li>\n<\/ol>\n

                      \u00a0<\/strong><\/p>\n

                      \u25cb\u3053\u308c\u307e\u3067\u306e\u7814\u7a76\u5185\u5bb9\u3068\u672c\u5b66\u3067\u306e\u7814\u7a76\u8a08\u753b
                      \n<\/strong>\uff08\u3053\u308c\u307e\u3067\u306e\u91cd\u8981\u306a\u7814\u7a76\u696d\u7e3e\uff15\u5831\u4ee5\u5185\uff08\u72ec\u5275\u7684\u306a\u70b9\u3068\u8ad6\u6587\u4e2d\u306e\u5f79\u5272\uff09\u3001\u95a2\u9023\u5206\u91ce\u306b\u304a\u3051\u308b\u81ea\u5df1\u8a55\u4fa1\u53ca\u3073\u672c\u5b66\u3067\u306e\u7814\u7a76\u6d3b\u52d5\u8a08\u753b\u3068\u5c55\u671b\u3092\u8a18\u8f09\uff09<\/p>\n

                        \n
                      1. Funatsu, S. Sasaki: Recent Advances in the Automated Structure Elucidation System, CHEMICS. -Utilization of Two-Dimensional NMR Spectral Information and Development of Peripheral Functions for Examination of Candidates, J. Chem. Info. Comput. Sci., 36, 190-204 (1996).
                        \n\u6709\u6a5f\u5316\u5408\u7269\u306e\u69cb\u9020\u63a8\u5b9a\u3092\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306b\u62c5\u308f\u305b\u308b\u305f\u3081\u306b\u5fc5\u8981\u306a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u30b9\u30da\u30af\u30c8\u30eb\u89e3\u6790\u3068\u69cb\u9020\u7d44\u307f\u7acb\u3066\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3068\u9023\u52d5\u3055\u305b\u308b\u30e6\u30cb\u30fc\u30af\u306a\u767a\u60f3\u306e\u3082\u3068\u3067\u958b\u767a\u3057\u3001\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306a\u3069\u306b\u306a\u3044\u65b0\u898f\u306a\u5316\u5408\u7269\u306e\u69cb\u9020\u63a8\u5b9a\u306b\u5bfe\u5fdc\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u305f\u3002\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u5206\u91ce\u3067\u306f\u5275\u85ac\u306a\u3069\u306e\u5206\u5b50\u8a2d\u8a08\u306b\u5927\u304d\u306a\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u8ad6\u6587\u3068\u306a\u3063\u305f\u3002\u57fa\u672c\u7684\u306b\u79c1\u81ea\u8eab\u306e\u30a2\u30a4\u30c7\u30a2\u306e\u3082\u3068\u306b\u7814\u7a76\u304c\u9032\u3081\u3089\u308c\u305f\u3002<\/li>\n
                      2. Satoh, K. Funatsu: A Novel Approach for Retrosynthetic Analysis Utilizing Knowledge Bases Derived from Reaction Database, J. Chem. Inf. Comput. Sci., 39, 316-325 (1999).
                        \n\u6709\u6a5f\u5408\u6210\u7d4c\u8def\u3092\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306b\u8003\u3048\u3055\u305b\u308b\u6211\u304c\u56fd\u72ec\u81ea\u306e\u53d6\u308a\u7d44\u307f\u3067\u3042\u308b\u3002\u3053\u308c\u307e\u3067\u4e16\u754c\u7684\u306b\u884c\u308f\u308c\u3066\u304d\u305f\u7d4c\u9a13\u6307\u5411\u578b\u3001\u8ad6\u7406\u6307\u5411\u578b\u306e\u5408\u6210\u7d4c\u8def\u30b7\u30b9\u30c6\u30e0\u306e\u8ab2\u984c\u3092\u89e3\u6d88\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u306b\u3001\u5b9f\u7528\u6027\u306e\u9ad8\u3044\u30b7\u30b9\u30c6\u30e0\u3092\u76ee\u6307\u3057\u305f\u3002\u305d\u306e\u7d50\u679c\u3001\u3053\u308c\u307e\u3067\u691c\u8a0e\u3055\u308c\u3066\u3053\u306a\u304b\u3063\u305f\u5408\u6210\u7d4c\u8def\u3092\u63d0\u6848\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308b\u3068\u3068\u3082\u306b\u3001\u305d\u306e\u63d0\u6848\u306e\u3082\u3068\u3068\u306a\u3063\u305f\u500b\u5225\u306e\u53cd\u5fdc\u4e8b\u4f8b\u3092\u53c2\u7167\u60c5\u5831\u3068\u3057\u3066\u540c\u6642\u306b\u793a\u3059\u3053\u3068\u3067\u3001\u5b9f\u9a13\u7814\u7a76\u8005\u306e\u7406\u89e3\u3092\u5f97\u3089\u308c\u308b\u3088\u3046\u306b\u306a\u3063\u3066\u3044\u308b\u3002\u3053\u306e\u7814\u7a76\u306f\u79c1\u306e\u767a\u60f3\u306e\u3082\u3068\u3067\u9032\u3081\u3089\u308c\u3001\u5316\u5b66\u5de5\u696d\u30fb\u88fd\u85ac\u4f01\u696d\u3068\u306e\u5171\u540c\u7814\u7a76\u306e\u3082\u3068\u3067\u958b\u767a\u304c\u9032\u3081\u3089\u308c\u305f\u3002<\/li>\n
                      3. Kaneko, M. Arakawa, K. Funatsu, Novel Soft Sensor Method for Detecting Completion of Transition in Industrial Polymer Processes, Computers & Chemical Engineering, 35, 1135-1142 (2011).
                        \n\u30dd\u30ea\u30de\u30fc\u91cd\u5408\u30d7\u30e9\u30f3\u30c8\u306b\u304a\u3051\u308b\u9298\u67c4\u5207\u308a\u66ff\u3048\u306b\u4f34\u3046Transition\u7d42\u4e86\u5224\u5b9a\u3092\u8fc5\u901f\u7684\u78ba\u306b\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u306b\u76e3\u8996\u3067\u304d\u308b\u624b\u6cd5\u3092\u63d0\u6848\u3057\u305f\u8ad6\u6587\u3067\u3042\u308b\u3002\u5316\u5b66\u5de5\u696d\u754c\u3067\u306f\u4e00\u3064\u306e\u30d7\u30e9\u30f3\u30c8\u3067\u8907\u6570\u306e\u30dd\u30ea\u30de\u30fc\u3092\u88fd\u9020\u3057\u3066\u3044\u308b\u304c\u3001\u3053\u306e\u969b\u306b\u9298\u67c4\u5207\u308a\u66ff\u3048\u306b\u4f34\u3046\u751f\u7523\u30ed\u30b9\u306e\u4f4e\u6e1b\u304c\u5927\u304d\u306a\u8ab2\u984c\u3068\u306a\u3063\u3066\u3044\u305f\u3002\u3053\u306e\u8ad6\u6587\u3067\u63d0\u6848\u3055\u308c\u305f\u624b\u6cd5\u306f\u3053\u306e\u8ab2\u984c\u3092\u89e3\u6c7a\u3059\u308b\u3082\u306e\u3068\u3057\u3066\u6ce8\u76ee\u3055\u308c\u3001\u67d0\u5316\u5b66\u5de5\u696d\u4f1a\u793e\u3067\u5229\u7528\u3055\u308c\u3066\u3044\u308b\u3002\u672c\u624b\u6cd5\u306e\u57fa\u672c\u7684\u306a\u30a2\u30a4\u30c7\u30a2\u306f\u79c1\u81ea\u8eab\u304c\u884c\u3044\u3001\u30d7\u30ed\u30b0\u30e9\u30e0\u5b9f\u88c5\u306a\u3069\u306f\u52a9\u6559\u306e\u8352\u5ddd\u541b\u304c\u884c\u3063\u305f\u3002<\/li>\n
                      4. Hasegawa, K. Funatsu, A New Method for Mapping the Molecular Surface of a Protein Structure Using a Spherical Self-Organizing Map, Molecular Informatics, 31, 161-166 (2012).
                        \n\u5206\u5b50\u8868\u9762\u4e0a\u306e\u7279\u6027\u304c\u85ac\u52b9\u306b\u5f71\u97ff\u3059\u308b\u5834\u5408\u3001\u305d\u306e\u5206\u5b50\u8868\u9762\u4e0a\u306e\u7279\u6027\u3092\u7403\u72b6\u306e\u81ea\u5df1\u7d44\u7e54\u5316\u30de\u30c3\u30d7\u4e0a\u306b\u5199\u50cf\u3059\u308b\u3053\u3068\u3067\u3001\u76f8\u624b\u65b9\u306e\u30bf\u30f3\u30d1\u30af\u30dd\u30b1\u30c3\u30c8\u306e\u7279\u6027\u30de\u30c3\u30d7\u3068\u306e\u7167\u5408\u6027\u3092\u8996\u899a\u7684\u306b\u5206\u304b\u308a\u7d04\u3059\u308b\u624b\u6cd5\u3068\u3057\u3066\u63d0\u6848\u3055\u308c\u305f\u3002\u307e\u305f\u3001\u3053\u306e\u624b\u6cd5\u306b\u3088\u308a\u5206\u5b50\u8868\u9762\u3068\u30bf\u30f3\u30d1\u30af\u8868\u9762\u306e\u5bfe\u5fdc\u6027\u3092\u5b9a\u91cf\u7684\u306b\u30e2\u30c7\u30eb\u5316\u3059\u308b\u3053\u3068\u3082\u884c\u308f\u308c\u305f\u3002\u901a\u5e38\u306e\u4e8c\u6b21\u5143\u81ea\u5df1\u7d44\u7e54\u5316\u30de\u30c3\u30d7\u3067\u306f\u76f4\u611f\u7684\u306b\u628a\u63e1\u3057\u3065\u3089\u304b\u3063\u305f\u60c5\u5831\u3092\u5206\u304b\u308a\u3084\u3059\u304f\u3057\u305f\u70b9\u3067\u5275\u85ac\u4f01\u696d\u306e\u7814\u7a76\u8005\u306b\u3082\u8a55\u4fa1\u3055\u308c\u5229\u7528\u3055\u308c\u3066\u3044\u308b\u3002\u624b\u6cd5\u306e\u8a73\u7d30\u691c\u8a0e\u306f\u79c1\u81ea\u8eab\u304c\u4e2d\u5fc3\u3068\u306a\u3063\u3066\u884c\u3063\u305f\u3002<\/li>\n
                      5. Miyao, H. Kaneko, K. Funatsu, Inverse QSPR\/QSAR Analysis for Chemical Structure Generation (from y to x), Journal of Chemical Information and Modeling, 56(2), 286-299, 2016.
                        \n\u69cb\u9020\u6d3b\u6027\u76f8\u95a2\u30e2\u30c7\u30eb\u3092\u9006\u89e3\u6790\u3057\u3001\u76ee\u7684\u7269\u6027\u30fb\u6d3b\u6027\u306e\u5bfe\u5fdc\u3059\u308b\u5316\u5b66\u69cb\u9020\u3092\u5275\u51fa\u3059\u308b\u753b\u671f\u7684\u306a\u624b\u6cd5\u3067\u3042\u308b\u3002\u3053\u308c\u307e\u3067\u671f\u5f85\u306f\u3055\u308c\u306a\u304c\u3089\u3082\u8ab0\u3082\u6210\u3057\u9042\u3052\u3089\u308c\u306a\u304b\u3063\u305f\u3053\u3068\u3092\u3053\u306e\u8ad6\u6587\u3067\u4e16\u754c\u3067\u521d\u3081\u3066\u63d0\u6848\u3057\u3001\u305d\u306e\u6709\u52b9\u6027\u3092\u5b9f\u8a3c\u3057\u305f\u3002\u9577\u5e74\u79c1\u81ea\u8eab\u304c\u4e00\u4eba\u3067\u53d6\u308a\u7d44\u3093\u3067\u304d\u305f\u304c\u3001\u535a\u58eb\u8ab2\u7a0b\u306e\u5b66\u751f\u306e\u5bae\u5c3e\u541b\u304c\u30d7\u30ed\u30b0\u30e9\u30e0\u3068\u3057\u3066\u5b9f\u88c5\u306b\u6210\u529f\u3057\u305f\u3002<\/li>\n<\/ol>\n

                        \u3000\u5206\u5b50\u8a2d\u8a08\u3001\u6750\u6599\u8a2d\u8a08\u3001\u5408\u6210\u7d4c\u8def\u8a2d\u8a08\u3001\u305d\u3057\u3066\u5316\u5b66\u88fd\u54c1\u306e\u751f\u7523\u624b\u6bb5\u3067\u3042\u308b\u5316\u5b66\u30d7\u30e9\u30f3\u30c8\u306e\u76e3\u8996\u3068\u5236\u5fa1\u306f\u5316\u5b66\u306e\u5275\u9020\u7684\u304b\u3064\u4e2d\u5fc3\u7684\u8ab2\u984c\u3067\u3042\u308b\u304c\u3001\u3053\u308c\u3089\u3092\u30c7\u30fc\u30bf\u79d1\u5b66\u306e\u8996\u70b9\u304b\u3089\u53d6\u7d44\u3080\u7814\u7a76\u306f\u5f53\u521d1969\u5e74\u4ee3\u306b\u6b27\u7c73\u3092\u4e2d\u5fc3\u306b\u9032\u3081\u3089\u308c\u3066\u304d\u305f\u3002\u3057\u304b\u3057\u306a\u304c\u3089\u3001\u305d\u306e\u8ab2\u984c\u306e\u524d\u306b\u5e83\u304c\u308b\u81a8\u5927\u306a\u30c7\u30fc\u30bf\u30fb\u60c5\u5831\u3092\u524d\u306b\u3057\u3066\u3001\u76ee\u7684\u306e\u7279\u6027\u3084\u751f\u7406\u6d3b\u6027\u3092\u6709\u3059\u308b\u65b0\u898f\u306a\u5206\u5b50\u3001\u6750\u6599\u3092\u8a2d\u8a08\u3059\u308b\u3053\u3068\u3001\u305d\u3057\u3066\u305d\u308c\u3092\u5408\u6210\u3059\u308b\u305f\u3081\u306e\u53cd\u5fdc\u8a2d\u8a08\u304c\u6b21\u7b2c\u306b\u56f0\u96e3\u3068\u306a\u308a\u3001\u305d\u306e\u7d50\u679c\u3068\u3057\u3066\u3080\u3057\u308d\u305d\u306e\u81a8\u5927\u306a\u30c7\u30fc\u30bf\u30fb\u60c5\u5831\u3092\u3082\u3068\u306b\u898b\u843d\u3068\u3057\u306e\u7121\u3044\u3088\u3046\u306b\u30b9\u30d4\u30fc\u30c9\u611f\u3092\u6301\u3063\u3066\u5408\u7406\u7684\u306b\u65b0\u898f\u306a\u5206\u5b50\u30fb\u6750\u6599\u306e\u63a2\u7d22\u304a\u3088\u3073\u305d\u306e\u5408\u6210\u306e\u305f\u3081\u306e\u7d4c\u8def\u8a2d\u8a08\u3092\u9032\u3081\u3088\u3046\u3068\u3044\u3046\u4e16\u754c\u7684\u306a\u52d5\u304d\u304c\u5b66\u8853\u754c\u30fb\u7523\u696d\u754c\u304b\u3089\u51fa\u3066\u304d\u305f\u3002<\/p>\n

                        \u3000\u79c1\u306f\u3053\u3046\u3057\u305f\u4e16\u754c\u7684\u306a\u52d5\u304d\u304c\u59cb\u307e\u308b\u4ee5\u524d\u304b\u308930\u5e74\u4ee5\u4e0a\u306b\u4e98\u3063\u3066\u3001\u5316\u5b66\u60c5\u5831\u306e\u9ad8\u6b21\u51e6\u7406\u3068\u77e5\u8b58\u69cb\u7bc9\u57fa\u76e4\u78ba\u7acb\u306e\u7814\u7a76\u306b\u53d6\u308a\u7d44\u307f\u591a\u304f\u306e\u6210\u679c\u3092\u6319\u3052\u308b\u3068\u3068\u3082\u306b\u3001\u56fd\u5185\u5916\u306e\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u5316\u5b66\u306e\u5206\u91ce\u958b\u62d3\u306b\u5148\u99c6\u7684\u30fb\u4e3b\u5c0e\u7684\u5f79\u5272\u3092\u679c\u305f\u3057\u3066\u304d\u305f\u3002\u305d\u306e\u6210\u679c\u306f\u3001\u5206\u5b50\u30fb\u6750\u6599\u8a2d\u8a08\u3001\u6709\u6a5f\u5408\u6210\u7d4c\u8def\u8a2d\u8a08\u3001\u6709\u6a5f\u5316\u5408\u7269\u306e\u81ea\u52d5\u69cb\u9020\u63a8\u5b9a\u3001\u305d\u3057\u3066\u5316\u5b66\u30d7\u30e9\u30f3\u30c8\u306e\u904b\u8ee2\u76e3\u8996\u3068\u5236\u5fa1\u3068\u3044\u3046\u5e45\u5e83\u3044\u5206\u91ce\u306b\u308f\u305f\u3063\u3066\u3044\u308b\u3002\u5316\u5b66\u30c7\u30fc\u30bf\u51e6\u7406\u306e\u57fa\u790e\u7814\u7a76\u304b\u3089\u5b9f\u7528\u5c55\u958b\u307e\u3067\u3092\u6311\u6226\u7684\u306b\u53d6\u308a\u7d44\u3080\u3053\u3068\u3067\u3001\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u5316\u5b66\u306e\u53ef\u80fd\u6027\u3092\u4e16\u754c\u7684\u306a\u30ec\u30d9\u30eb\u3067\u660e\u78ba\u306b\u793a\u3059\u306a\u3069\u5148\u99c6\u7684\u30fb\u958b\u62d3\u7684\u8ca2\u732e\u3092\u3057\u305f\u3002\u4ee5\u4e0b\u306b\u30dd\u30a4\u30f3\u30c8\u3068\u306a\u308b\u7814\u7a76\u6210\u679c\u306e\u6982\u7565\u3092\u8a18\u3059\u3002<\/p>\n

                        \u3000\u3010\u76ee\u7684\u7269\u6027\u30fb\u6d3b\u6027\u3092\u6709\u3059\u308b\u65b0\u898f\u5206\u5b50\u30fb\u6750\u6599\u8a2d\u8a08\u3011\u3000\u5e83\u5927\u306a\u5316\u5b66\u7a7a\u9593\u304b\u3089\u65b0\u898f\u5206\u5b50\u30fb\u6750\u6599\u69cb\u9020\u3092\u63a2\u7d22\u3059\u308b\u306b\u3042\u305f\u3063\u3066\u3001\u69cb\u9020\u3068\u7279\u6027\u3068\u306e\u95a2\u4fc2\u3092\u8868\u3059\u6570\u7406\u30e2\u30c7\u30eb\u3092\u5229\u7528\u3057\u3066\u3001\u76ee\u7684\u7269\u6027\u30fb\u6d3b\u6027\u3092\u6709\u3059\u308b\u65b0\u898f\u5206\u5b50\u30fb\u6750\u6599\u69cb\u9020\u304c\u5b58\u5728\u3059\u308b\u6709\u671b\u306a\u5316\u5b66\u7a7a\u9593\u9818\u57df\u3092\u7279\u5b9a\u3057\u3001\u3055\u3089\u306b\u305d\u306e\u7a7a\u9593\u306b\u5b58\u5728\u3059\u308b\u3068\u8003\u3048\u3089\u308c\u308b\u5316\u5b66\u69cb\u9020\u3092\u7db2\u7f85\u7684\u306b\u5275\u51fa\u3059\u308b\u4ed5\u7d44\u307f\u3092\u8003\u6848\u3059\u308b\u306a\u3069\u3001\u30c7\u30fc\u30bf\u30fb\u60c5\u5831\u306e\u77e5\u8b58\u5316\u3068\u3001\u305d\u306e\u77e5\u8b58\u3092\u5229\u7528\u3057\u3066\u5206\u5b50\u30fb\u6750\u6599\u69cb\u9020\u3092\u63d0\u6848\u3059\u308b\u30b9\u30ad\u30fc\u30e0\u3092\u78ba\u7acb\u3057\u305f\u696d\u7e3e\u306f\u3001\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u5316\u5b66\u306e\u4e2d\u5fc3\u8ab2\u984c\u306b\u4e00\u3064\u306e\u89e3\u3092\u4e0e\u3048\u305f\u3082\u306e\u3068\u3057\u3066\u4e16\u754c\u7684\u8a55\u4fa1\u304c\u9ad8\u3044\u3002<\/p>\n

                        \u3000\u3010\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306b\u3088\u308b\u6709\u6a5f\u5408\u6210\u7d4c\u8def\u63a2\u7d22\u3011\u3000\u5316\u5b66\u30fb\u88fd\u85ac\u4f01\u696d\uff11\uff15\u793e\u3068\u306e\u5171\u540c\u7814\u7a76\u3092\u901a\u3057\u3066\u3001\u904e\u53bb\u306e\u53cd\u5fdc\u30c7\u30fc\u30bf\u3092\u3082\u3068\u306b\u3057\u306a\u304c\u3089\u3082\u65b0\u898f\u3067\u5b9f\u969b\u6027\u306e\u3042\u308b\u5408\u6210\u7d4c\u8def\u3092\u63d0\u6848\u3059\u308b\u72ec\u81ea\u306e\u624b\u6cd5\u958b\u767a\u306b\u53d6\u308a\u7d44\u307f\u6210\u529f\u3057\u3066\u3044\u308b\u3002\u305d\u306e\u6210\u679c\u306f\u5404\u793e\u3067\u6d3b\u7528\u3055\u308c\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30c3\u30af\u30b9\u7814\u7a76\u306e\u7406\u89e3\u3068\u666e\u53ca\u306b\u5927\u304d\u304f\u8ca2\u732e\u3057\u305f\u3002<\/p>\n

                        \u3000\u3010\u6709\u6a5f\u5316\u5408\u7269\u306e\u81ea\u52d5\u69cb\u9020\u63a8\u5b9a\u3011\u3000\u5404\u7a2e\u30b9\u30da\u30af\u30c8\u30eb\u306a\u3069\u6e2c\u5b9a\u60c5\u5831\u306b\u77db\u76fe\u3057\u306a\u3044\u5019\u88dc\u69cb\u9020\u3092\u6f0f\u308c\u306a\u304f\u91cd\u8907\u306a\u304f\u5217\u6319\u3059\u308b\u4ed5\u7d44\u307f\u3092\u78ba\u7acb\u3057\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306b\u3088\u308b\u5316\u5b66\u89e3\u6790\u306e\u610f\u7fa9\u3092\u793a\u3059\u3053\u3068\u306b\u6210\u529f\u3057\u305f\u3002\u305d\u306e\u6210\u679c\u306f\u56fd\u5185\u5916\u306e\u5316\u5b66\u7523\u696d\u306e\u5206\u6790\u7814\u7a76\u6240\u306a\u3069\u3067\u6d3b\u7528\u3055\u308c\u305f\u5b9f\u7e3e\u3092\u6301\u3064\u3002<\/p>\n

                        \u3000\u3010\u88fd\u54c1\u88fd\u9020\u30d7\u30e9\u30f3\u30c8\u306e\u76e3\u8996\u3068\u5236\u5fa1\u3011\u3000\u5316\u5b66\u30d7\u30e9\u30f3\u30c8\u304b\u3089\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u306b\u5f97\u3089\u308c\u308b\u69d8\u3005\u306a\u904b\u8ee2\u30c7\u30fc\u30bf\u3092\u5229\u7528\u3057\u3066\u3001\u88fd\u9020\u88fd\u54c1\u306e\u7269\u6027\u306a\u3069\u306e\u54c1\u8cea\u60c5\u5831\u3092\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u306b\u4e88\u6e2c\u3059\u308b\u30bd\u30d5\u30c8\u30bb\u30f3\u30b5\u30fc\uff08\u4eee\u60f3\u8a08\u6e2c\u6280\u8853\uff09\u306e\u958b\u767a\u306b\u6210\u529f\u3057\u73fe\u5728\u4e16\u754c\u306e\u7814\u7a76\u3092\u4e3b\u5c0e\u3057\u3066\u3044\u308b\u3002\u591a\u304f\u306e\u5316\u5b66\u30d7\u30e9\u30f3\u30c8\u306e\u76e3\u8996\u3068\u5b89\u5168\u7ba1\u7406\u306b\u5fc5\u9808\u306a\u30d7\u30e9\u30f3\u30c8\u904b\u8ee2\u5236\u5fa1\u306e\u305f\u3081\u306e\u30bd\u30d5\u30c8\u30bb\u30f3\u30b5\u30fc\u7814\u7a76\u3092\u5b9f\u65bd\u3057\u3001\u5b9f\u969b\u306e\u30d7\u30e9\u30f3\u30c8\u3078\u306e\u5b9f\u88c5\u306b\u81f3\u308b\u5927\u304d\u306a\u6210\u679c\u3092\u6319\u3052\u3066\u3044\u308b\u3002<\/p>\n

                        \u3000\u3053\u308c\u307e\u3067\u3001\u5206\u5b50\u30fb\u6750\u6599\u8a2d\u8a08\u304b\u3089\u88fd\u9020\u306b\u81f3\u308b\u5316\u5b66\u306e\u4e2d\u5fc3\u7684\u8ab2\u984c\u3092\u5bfe\u8c61\u3068\u3057\u3066\u3001\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u5316\u5b66\u306e\u57fa\u790e\u304b\u3089\u5fdc\u7528\u307e\u3067\u306e\u5e45\u5e83\u3044\u7814\u7a76\u3092\u5c55\u958b\u3057\u3066\u304d\u305f\u3002\u305d\u306e\u5148\u99c6\u7684\u30fb\u958b\u62d3\u7684\u7814\u7a76\u6210\u679c\u306f\u3001\u624b\u6cd5\u306e\u65ac\u65b0\u6027\u304a\u3088\u3073\u5b9f\u7528\u6027\u306e\u89b3\u70b9\u304b\u3089\u56fd\u5185\u5916\u306e\u5b66\u8853\u754c\u30fb\u7523\u696d\u754c\u306b\u3088\u308a\u9ad8\u304f\u8a55\u4fa1\u3055\u308c\u3066\u3044\u308b\u3002<\/p>\n

                        \u3000\u4ee5\u4e0a\u306e\u3088\u3046\u306b\u3001\u5206\u5b50\u8a2d\u8a08\u30fb\u6750\u6599\u8a2d\u8a08\u3001\u6709\u6a5f\u5408\u6210\u7d4c\u8def\u8a2d\u8a08\u3001\u6709\u6a5f\u5316\u5408\u7269\u306e\u69cb\u9020\u63a8\u5b9a\u3001\u305d\u3057\u3066\u5316\u5b66\u30d7\u30e9\u30f3\u30c8\u306e\u76e3\u8996\u3068\u5236\u5fa1\u306b\u95a2\u3057\u3066\u9577\u5e74\u53d6\u308a\u7d44\u3093\u3067\u304d\u305f\u3002\u305d\u308c\u306f\u300c\u4f55\u3092\u4f5c\u308b\u304b\u300d\u3001\u300c\u305d\u308c\u3092\u3069\u3046\u4f5c\u308b\u304b\u300d\u3001\u3055\u3089\u306b\u300c\u3069\u306e\u3088\u3046\u306b\u88fd\u54c1\u54c1\u8cea\u3092\u7dad\u6301\u3057\u305f\u751f\u7523\u3092\u7ba1\u7406\u3059\u308b\u304b\u300d\u3001\u305d\u3057\u3066\u300c\u305d\u308c\u306f\u3067\u304d\u305f\u304b\u300d\u3068\u3044\u3046\u5316\u5b66\u5168\u822c\u306b\u95a2\u308f\u308b\u4e00\u9023\u306e\u8ab2\u984c\u3092\u30c7\u30fc\u30bf\u89e3\u6790\u306e\u8996\u70b9\u304b\u3089\u53d6\u308a\u7d44\u3093\u3067\u304d\u305f\u3068\u8a00\u3048\u308b\u3002\u3053\u306e\u53d6\u308a\u7d44\u307f\u306b\u5bfe\u3057\u3066\u3053\u308c\u307e\u3067\u7523\u5b66\u754c\u3001\u7279\u306b\u7523\u696d\u754c\u3068\u306f\u7814\u7a76\u30fb\u958b\u767a\u306e\u52b9\u7387\u5316\u3001\u751f\u7523\u306e\u52b9\u7387\u5316\u3092\u76ee\u7684\u306b\u591a\u304f\u306e\u5171\u540c\u7814\u7a76\u3092\u5b9f\u65bd\u3057\u6210\u679c\u3092\u6319\u3052\u3066\u304d\u305f\u304c\u3001\u8cb4\u5b66\u306b\u304a\u3044\u3066\u3082\u3053\u306e\u6d3b\u52d5\u3092\u4e00\u5c64\u5e45\u5e83\u304f\u884c\u3046\u3053\u3068\u3067\u3001\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u5316\u5b66\u7814\u7a76\u306e\u62e0\u70b9\u5f62\u6210\u306b\u5c3d\u529b\u3057\u305f\u3044\u8003\u3048\u3067\u3042\u308b\u3002<\/p>\n

                        \u4ee5\u4e0a\u306e\u3088\u3046\u306b\u3001
                        \n\u25cb\u3053\u308c\u307e\u3067\u306e\u6559\u80b2\u3078\u306e\u53d6\u7d44\u3068\u672c\u5b66\u3067\u306e\u6559\u80b2\u3078\u306e\u62b1\u8ca0<\/strong><\/p>\n

                        \uff08\u3053\u308c\u307e\u3067\u306e\u6559\u80b2\u3078\u306e\u53d6\u7d44\u53ca\u3073\u672c\u5b66\u3067\u306e\u6559\u80b2\u6d3b\u52d5\u3078\u306e\u62b1\u8ca0\u3092\u8a18\u8f09\uff09<\/p>\n

                        \u00a0\u5316\u5b66\u5206\u91ce\u306b\u304a\u3051\u308b\u30c7\u30fc\u30bf\u30fb\u60c5\u5831\u304b\u3089\u8a2d\u8a08\u30fb\u4e88\u6e2c\u306b\u6d3b\u7528\u3067\u304d\u308b\u77e5\u8b58\u3092\u3069\u306e\u3088\u3046\u306a\u5f62\u3067\u53d6\u308a\u51fa\u3059\u3079\u304d\u304b\u3068\u3044\u3046\u8ab2\u984c\u306b\u5bfe\u3057\u3066\u3001\u5b9f\u969b\u306e\u7814\u7a76\u30fb\u958b\u767a\u306e\u73fe\u5834\u3092\u610f\u8b58\u3057\u306a\u304c\u3089\u9577\u5e74\u53d6\u308a\u7d44\u3093\u3067\u304d\u305f\u3002\u3053\u306e\u4e2d\u3067\u5b66\u751f\u306b\u3082\u305d\u306e\u3088\u3046\u306a\u8996\u70b9\u3092\u78ba\u5b9f\u306b\u6301\u3066\u308b\u3088\u3046\u306b\u3001\u57fa\u790e\u7684\u306a\u30c7\u30fc\u30bf\u89e3\u6790\u304b\u3089\u5b9f\u8df5\u7684\u306a\u5fdc\u7528\u307e\u3067\u5e45\u5e83\u304f\u6559\u80b2\u3059\u308b\u3053\u3068\u3067\u793e\u4f1a\u306b\u6709\u70ba\u306a\u4eba\u6750\u3092\u8f29\u51fa\u3057\u3066\u304d\u305f\u3002\u4eca\u5f8c\u3082\u5f15\u304d\u7d9a\u304d\u5275\u9020\u7684\u306a\u5316\u5b66\u7814\u7a76\u306e\u4e00\u3064\u306e\u57fa\u76e4\u3068\u3057\u3066\u306e\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u3092\u5e83\u304f\u7523\u5b66\u754c\u306b\u5b9a\u7740\u3055\u305b\u308b\u3079\u304f\u3001\u5b66\u751f\u3001\u6559\u8077\u54e1\u3068\u3068\u3082\u306b\u610f\u6b32\u7684\u306a\u8b70\u8ad6\u3068\u7814\u7a76\u306b\u53d6\u308a\u7d44\u3093\u3067\u3044\u304f\u6240\u5b58\u3067\u3042\u308b\u3002<\/p>\n

                        \u25cb\u6559\u80b2\u7814\u7a76\u696d\u7e3e\u7b49\u306b\u3064\u3044\u3066\u554f\u3044\u5408\u308f\u305b\u304c\u3067\u304d\u308b\u65b9\u306e\u6240\u5c5e\u3001\u8077\u540d\u3001\u6c0f\u540d\u53ca\u3073\u9023\u7d61\u5148\uff08\uff12\uff5e\uff15\u540d\uff09<\/strong><\/p>\n

                          \n
                        1. \u5de5\u5b66\u9662\u5927\u5b66\u3001\u6559\u6388\u3001\u4e2d\u5c3e\u771f\u4e00\u3000\u3000maku@mvg.biglobe.ne.jp<\/li>\n
                        2. \u6771\u4eac\u5927\u5b66\u3001\u6559\u6388\u3001\u5802\u514d\u4e00\u6210\u3000\u3000\u3000domen@chemsys.t.u-tokyo.ac.jp<\/li>\n
                        3. \u6771\u4eac\u5927\u5b66\u3001\u6559\u6388\u3001\u5317\u68ee\u6b66\u5f66\u3000\u3000\u3000kitamori@icl.t.u-tokyo.ac.jp<\/li>\n<\/ol>\n

                          \u00a0<\/strong><\/p>\n

                          \u25cb\u305d\u306e\u4ed6\u7279\u8a18\u4e8b\u9805
                          \n<\/strong>\u30fb\u5c02\u653b\u5206\u91ce\u306b\u304a\u3051\u308b\u5b9f\u52d9\u4e0a\u306e\u7d4c\u9a13\u7b49<\/p>\n

                            \n
                          1. 2020\u5e74\u74b0\u592a\u5e73\u6d0b\u5316\u5b66\u56fd\u969b\u4f1a\u8b70(Pacifichem2020)\u306e\u56fd\u5185\u5b9f\u884c\u59d4\u54e1\u4f1a\u59d4\u54e1\u3001\u201d Artificial Intelligence, Big Data and Beyond\u201d\u3092\u62c5\u5f53\u30022017\u5e74\uff5e2020\u5e74<\/li>\n
                          2. 2009\u5e74\u304b\u3089\u9694\u5e74\u3067\u56fd\u969b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u201dAutumn School on Chemoinformatics\u201d\u3092\u4e3b\u50ac\u3057\u3066\u3044\u308b\u3002<\/li>\n
                          3. 2006\u5e74\u304b\u3089\u9694\u5e74\u3067\u958b\u50ac\u3055\u308c\u3066\u3044\u308b\u3001\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u304a\u3088\u3073\u8a08\u7b97\u5316\u5b66\u306b\u95a2\u3059\u308b\u65e5\u4ecf\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u306e\u65e5\u672c\u5074\u5b9f\u884c\u8cac\u4efb\u8005\u3092\u52d9\u3081\u308b\u3002<\/li>\n
                          4. 2001\u5e748\u6708\u3000\u6771\u4eac\u3000International Conference on Analytical Sciences\u30002001
                            \n\u4e3b\u50ac\u6a5f\u95a2\uff1a\u3000\u65e5\u672c\u5206\u6790\u5316\u5b66\u4f1a\u306a\u3069
                            \n\u5f79\u5272\u3000\u3000\uff1a\u3000ICAS2001\u306e\u30b1\u30e2\u30e1\u30c8\u30ea\u30c3\u30af\u30b9\u30fb\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30aa\u30fc\u30ac\u30ca\u30a4\u30b6\u30fc<\/li>\n
                          5. 2000\u5e7412\u6708\u3000\u30a2\u30e1\u30ea\u30ab\u5408\u8846\u56fd\u30fb\u30cf\u30ef\u30a4\u3000\u3000\u74b0\u592a\u5e73\u6d0b\u56fd\u969b\u5316\u5b66\u4f1a\u8b70
                            \n\u4e3b\u50ac\u6a5f\u95a2\uff1a\u3000\u65e5\u672c\u5316\u5b66\u4f1a\u30fb\u30a2\u30e1\u30ea\u30ab\u5316\u5b66\u4f1a\u306a\u3069
                            \n\u5f79\u5272\u3000\u3000\uff1a\u3000\u201cUse of Chemical Information in Organic Synthesis\u201d
                            \n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30aa\u30fc\u30ac\u30ca\u30a4\u30b6\u30fc<\/li>\n
                          6. 1986\u5e74\u304b\u30892000\u5e74\u307e\u30671.5\u5e74\u304a\u304d\u306b\u65e5\u672c\u3001\u30c9\u30a4\u30c4\u9593\u3067\u4ea4\u4e92\u306b\u958b\u50ac\u3055\u308c\u3042\u300c\u5316\u5b66\u60c5\u5831\u306b\u95a2\u3059\u308b\u65e5\u72ec\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u300d\u306e\u65e5\u672c\u5074\u30aa\u30fc\u30ac\u30ca\u30a4\u30b6\u30fc\u3092\u52d9\u3081\u308b\u3002\u65e5\u72ec\u9593\u306e\u60c5\u5831\u5316\u5b66\u7814\u7a76\u3001\u7279\u306b\u53cd\u5fdc\u8a2d\u8a08\u3001\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u63d0\u4f9b\u30fb\u5229\u7528\u6cd5\u3001\u69cb\u9020\u89e3\u6790\u3001\u30d0\u30a4\u30aa\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u3001 \u30b2\u30ce\u30e0\u89e3\u6790\u306a\u3069\u3092\u4e2d\u5fc3\u306b\u60c5\u5831\u4ea4\u6d41\u3092\u9032\u3081\u3066\u3044\u308b\u3002\u4e3b\u50ac\u6a5f\u95a2\u306f\u79d1\u5b66\u6280\u8853\u5e81\uff08\u73fe\u5728\u306f\u6587\u90e8\u79d1\u5b66\u7701\uff09\u304a\u3088\u3073\u30c9\u30a4\u30c4\u5074\u306f\u79d1\u5b66\u6280\u8853\u7701\u3002<\/li>\n<\/ol>\n

                            \u30fb\u56fd\u5185\u5b66\u4f1a\u306e\u4e3b\u50ac\u8a18\u9332<\/strong><\/p>\n

                              \n
                            1. 2002\u5e7411\u6708\u3000\u3000\u8c4a\u6a4b\u3000\u3000\u7b2c\uff12\uff15\u56de\u60c5\u5831\u5316\u5b66\u8a0e\u8ad6\u4f1a
                              \n\u4e3b\u50ac\u6a5f\u95a2\uff1a\u3000\u65e5\u672c\u5316\u5b66\u4f1a\u60c5\u5831\u5316\u5b66\u90e8\u4f1a
                              \n\u5f79\u5272\u3000\u3000\uff1a\u3000\u5b9f\u884c\u59d4\u54e1\u9577<\/li>\n
                            2. 2004\u5e7410\u6708\u3000\u3000\u6771\u4eac\u3000\u65e5\u672c\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u5316\u5b66\u4f1a2004\u79cb\u5b63\u5e74\u4f1a
                              \n\u4e3b\u50ac\u6a5f\u95a2\uff1a\u3000\u65e5\u672c\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u5316\u5b66\u4f1a
                              \n\u5f79\u5272\u3000\u3000\uff1a\u3000\u5b9f\u884c\u59d4\u54e1\u9577<\/li>\n
                            3. 2008\u5e7411\u6708\u3000\u3000\u6771\u5927\u5c71\u4e0a\u4f1a\u9928\u3000\u7b2c\uff13\uff11\u56de\u60c5\u5831\u5316\u5b66\u8a0e\u8ad6\u4f1a
                              \n\u5f79\u5272\u3000\u3000\uff1a\u3000\u5b9f\u884c\u59d4\u54e1\u9577<\/li>\n
                            4. 2010\u5e74\uff11\uff10\u6708\u3000\u5fb3\u5cf6\u5927\u5b66\u3000\u7b2c\uff13\uff13\u56de\u60c5\u5831\u5316\u5b66\u8a0e\u8ad6\u4f1a
                              \n\u5f79\u5272\u3000\u3000\uff1a\u3000\u5b9f\u884c\u8cac\u4efb\u8005<\/li>\n
                            5. 2009\u5e7411\u6708\u4ee5\u964d\u3001\u9694\u5e74\u306711\u6708\u306b\u56fd\u969b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u201dAutumn School on Chemoinformatics\u201d\u3092\u4e3b\u50ac\u3057\u3066\u3044\u308b\u3002\u4eca\u5e7411\u6708\u306f\u5948\u826f\u3067\u958b\u50ac\u3059\u308b\u4e88\u5b9a\u3067\u3042\u308b\u304c\u30015\u56de\u76ee\u3068\u306a\u308b\u3002<\/li>\n<\/ol>\n

                               <\/p>\n

                               <\/p>\n","protected":false},"excerpt":{"rendered":"

                              \u00a0 \u300c\u8239\u6d25\u516c\u4eba\u300d\u6559\u80b2\u7814\u7a76\u7b49\u696d\u7e3e\u4e00\u89a7 \u00a0\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u30002022\u5e74\uff11\u67081\u65e5\u73fe\u5728   \u25cb\u6559\u80b2\u7814\u7a76\u306e\u6307\u5c0e\u5b9f\u7e3e \uff08\u62c5\u5f53\u6388\u696d\u79d1\u76ee\u30fb\u6642\u9593\u6570\u53ca\u3073\u535a\u58eb\u5f8c\u671f\u8ab2\u7a0b\u5b66\u751f\u6307\u5c0e\u7d4c\u9a13\u7b49\u3092\u8a18\u8f09\uff09 \u3010\u62c5\u5f53 […]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_locale":"ja","_original_post":"http:\/\/www-dsc-vm.naist.jp\/dsc_naist\/?page_id=1577","_links_to":"","_links_to_target":""},"acf":[],"_links":{"self":[{"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/pages\/1577"}],"collection":[{"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/comments?post=1577"}],"version-history":[{"count":7,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/pages\/1577\/revisions"}],"predecessor-version":[{"id":3809,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/pages\/1577\/revisions\/3809"}],"wp:attachment":[{"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/media?parent=1577"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}