{"id":80,"date":"2022-07-12T20:26:14","date_gmt":"2022-07-12T11:26:14","guid":{"rendered":"http:\/\/www-dsc.naist.jp\/ai-ships\/?page_id=80"},"modified":"2022-08-25T11:43:28","modified_gmt":"2022-08-25T02:43:28","slug":"result","status":"publish","type":"page","link":"http:\/\/www-dsc.naist.jp\/ai-ships\/result\/","title":{"rendered":"\u7814\u7a76\u6210\u679c"},"content":{"rendered":"\n
Hepaotoxicological potential of P-toluic acid in humanised-liver mice investigated using simplified physiologically based pharmacokinetic modelst<\/dt>\n

Miura T, Kamiya Y, Uehara S, Murayama N, Shimizu M, Suemizu H, Yamazaki H<\/p>\n

Xenobiotica, 51(6),636-642, 2021,DOI: 10.1080\/00498254.2021.1908643<\/p><\/dd><\/td><\/tr>

Pharmacokinetics of primary oxidative metabolites of thalidomide in rats and in chimeric mice humanized with different human hepatocytes<\/dt>\n

Miura T, Uehara S, Shimizu M, Suemizu H, Yamazaki H<\/p>\n

J. Toxicol. Sci., 46(7), 311-317,2021, DOI: 10.2131\/jts.46.311<\/p><\/dd><\/td><\/tr>

Pharmacokinetic modeling of over-the-counter drug diphenhydramine self-administered in overdoses in Japanese patients admitted to hospital<\/dt>\n

Adachi K, Beppu S, Terashima M, Kobari W, Shimizu M, Yamazaki H<\/p>\n

J. Pharm. Health Care Sci., 7(1), 32, 2021, DOI: 10.1186\/s40780-021-00215-w<\/p><\/dd><\/td><\/tr>

Metabolic profiles for the pyrrolizidine alkaloid neopetasitenine and its metabolite petasitenine in humans extrapolated from rat in vivo and in vitro data sets using a simplified physiologically based pharmacokinetic model<\/dt>\n

Yanagi M, Kamiya Y, Murayama N, Banju K, Shimizu M, Yamazaki H<\/p>\n

J. Toxicol. Sci., 46(9), 391-399, 2021, DOI: 10.2131\/jts.46.391<\/p><\/dd><\/td><\/tr>

Metabolic activation and deactivation of dietary-derived coumarin mediated by cytochrome P450 enzymes in rat and human liver preparations<\/dt>\n

Murayama N, Yamazaki H<\/p>\n

J. Toxicol. Sci., 46(8), 371-378, 2021, DOI: 10.2131\/jts.46.371<\/p><\/dd><\/td><\/tr>

Oxidative metabolism and pharmacokinetics of the EGFR inhibitor BIBX1382 in chimeric NOG-TKm30 mice transplanted with human hepatocytes<\/dt>\n

Uehara S, Yoneda N, Higuchi Y, Yamazaki H, Suemizu H<\/p>\n

Drug Metab. Pharmacokinet., DOI: 10.1016\/j.dmpk.2021.100419<\/p><\/dd><\/td><\/tr>

Differences in pharmacokinetics and haematotoxicities of aniline and its dimethyl derivatives orally administered in rats<\/dt>\n

Miura T, Kamiya Y, Murayama N, Shimizu M, Yamazaki H<\/p>\n

Biol. Pharm. Bull., DOI: 10.1248\/bpb.b21-00589<\/p><\/dd><\/td><\/tr>

UDP-glucuronosyltransferase 1A4-mediated N2-glucuronidation is the major metabolic pathway of lamotrigine in chimeric NOG-TKm30 mice with humanised-livers<\/dt>\n

Uehara S, Higuchi Y, Yoneda N, Yamazaki H, Suemizu H<\/p>\n

Xenobiotica, DOI: 10.1080\/00498254.2021.1972492<\/p><\/dd><\/td><\/tr>

Prediction of permeability across intestinal cell monolayers for 219 disparate chemicals using in vitro experimental coefficients in a pH gradient system and in silico analyses by trivariate linear regressions and machine learning<\/dt>\n

Kamiya Y, Omura A, Hayasaka R, Saito R, Sano I, Handa K, Ohori J, Kitajima M, Shono F, Funatsu K, Yamazaki H<\/p>\n

Biochem. Pharmacol., vol.192, 2021, DOI: 10.1016\/j.bcp.2021.114749<\/p><\/dd><\/td><\/tr>

\u809d\u6bd2\u6027\u8a55\u4fa1\u306b\u304a\u3051\u308b\u30a4\u30f3\u30d3\u30c8\u30ed\u8a66\u9a13\u53ca\u3073\u5316\u5b66\u69cb\u9020\u60c5\u5831\u306e\u6d3b\u7528<\/dt>\n

\u5409\u6210 \u6d69\u4e00<\/p>\n

\u5e79\u7d30\u80de\u3092\u7528\u3044\u305f\u5316\u5b66\u7269\u8cea\u30ea\u30b9\u30af\u60c5\u5831\u5171\u6709\u5316\u30b3\u30f3\u30bd\u30fc\u30b7\u30a2\u30e0scChemRISC 2021\u5e74\u5ea6\u5e74\u4f1a\u3000\u62db\u5f85\u8b1b\u6f14, \u30aa\u30f3\u30e9\u30a4\u30f3, 2021\u5e744\u6708<\/p><\/dd><\/td><\/tr>

Association between the results of hepatotoxicity-related in vitro tests and rat repeated-dose liver toxicity<\/dt>\n

Yoshinari K, Shizu R, Kanno Y, Hosaka T, Sasaki T<\/p>\n

EUROTOX 2021, Online, Sep. 2021<\/p><\/dd><\/td><\/tr>

\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u85ac\u7269\u4ee3\u8b1d\u9175\u7d20\u963b\u5bb3\u6d3b\u6027\u306ein silico\u4e88\u6e2c\u624b\u6cd5\u306e\u958b\u767a<\/dt>\n

\u4e2d\u68ee \u745e\u5b63, \u6771\u91ce \u7adc\u7a7a, \u5b89\u90e8 \u8cc0\u592e\u91cc, \u982d\u91d1 \u6b63\u535a, \u4f50\u3005\u6728 \u5d07\u5149, \u5409\u6210 \u6d69\u4e00<\/p>\n

\u7b2c48\u56de \u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a, \u795e\u6238\uff06\u30aa\u30f3\u30e9\u30a4\u30f3, 2021\u5e747\u6708, DOI:10.14869\/toxpt.48.1.0_P-197S<\/p><\/dd><\/td><\/tr>

Primary oxidative metabolites of thalidomide in rat and humanized-liver mouse pharmacokinetics<\/dt>\n

Yamazaki H, Uehara S, Shimizu M, Suemizu H<\/p>\n

24th North American ISSX Meeting, Online, Sep. 2021<\/p><\/dd><\/td><\/tr>

Pharmacokinetics of loxoprofen in a selfadministered overdose in a Japanese patient admitted to hospital<\/dt>\n

Adachi K, Sugitani Y, Unita R, Yoshida K, Beppu S, Terashima M, Fujii M, Shimizu M, Yamazaki H<\/p>\n

J. Pharm. Health Care Sci., 7(1), 33, 2021, DOI: 10.1186\/s40780-021-00216-9<\/p><\/dd><\/td><\/tr>

Methyl-hydroxylation and subsequent oxidation to produce carboxylic acid is the major metabolic pathway of tolbutamide in chimeric TK-NOG mice transplanted with human hepatocytes<\/a><\/dt>

Uehara S, Yoneda N, Higuchi Y, Yamazaki H, Suemizu H<\/p>

Xenobiotica, DOI: 10.1080\/00498254.2021.1875515 <\/p><\/dd><\/td><\/tr>

Plasma, liver, and kidney exposures in rats after oral doses of industrial chemicals predicted using physiologically based pharmacokinetic models: A case study of per\ufb02uorooctane sulfonic acid<\/a><\/dt>

Kamiya Y, Yanagi M, Hina S, Shigeta K, Miura T, Yamazaki H<\/p>

J. Toxicol. Sci., 45(12), 763-767, 2020, DOI: 10.2131\/jts.45.763<\/p><\/dd><\/td><\/tr>

Predicted Contributions of Flavin-containing Monooxygenases to the N-Oxygenation of Drug Candidates Based on their Estimated Base Dissociation Constants<\/a><\/dt>

Taniguchi-Takizawa T, Kato H, Shimizu M, Yamazaki H<\/p>

Current Drug Metabolism, 22, 1-0, 2020, DOI: 10.2174\/1389200221666201207195758 <\/p><\/dd><\/td><\/tr>

Metabolic profiles of coumarin in human plasma extrapolated from a rat data set with a simplified physiologically based pharmacokinetic model<\/a><\/dt>

Miura T, Kamiya Y, Hina S, Kobayashi Y, Murayama N, Shimizu M, Yamazaki H<\/p>

J. Toxicol. Sci., 45(11), 695-700, 2020, DOI: 10.2131\/jts.45.695<\/p><\/dd><\/td><\/tr>

Prediction of the inhibitory activity of rat drug-metabolizing enzyme by in silico method<\/dt>

Nakamori M, Tohno R, Ambe K, Tohkin M, Sasaki T, Yoshinari K<\/p>

\u60c5\u5831\u8a08\u7b97\u5316\u5b66\u751f\u7269\u5b66\u4f1a\uff08CBI\u5b66\u4f1a\uff09 2020\u5e74\u5927\u4f1a, \u30aa\u30f3\u30e9\u30a4\u30f3, 2020\u5e7410\u670830\u65e5<\/p><\/dd><\/td><\/tr>

\u7d4c\u6e08\u7523\u696d\u7701\u7814\u7a76\u958b\u767a\u4e8b\u696d \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 \u958b\u767a\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff08AI-SHIPS\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff09 <\/a><\/dt>

\u5409\u6210 \u6d69\u4e00, \u5c71\u5d0e \u6d69\u53f2, \u5e84\u91ce \u6587\u7ae0, \u5c0f\u5cf6 \u8087<\/p>

\u60c5\u5831\u8a08\u7b97\u5316\u5b66\u751f\u7269\u5b66\u4f1a\uff08CBI\u5b66\u4f1a\uff09 2020\u5e74\u5927\u4f1a, \u30aa\u30f3\u30e9\u30a4\u30f3, 2020\u5e7410\u670828\u65e5<\/p><\/dd><\/td><\/tr>

\u7d4c\u6e08\u7523\u696d\u7701 in silico \u6bd2\u6027\u4e88\u6e2c\u30d5\u309a\u30ed\u30b7\u3099\u30a7\u30af\u30c8 AI-SHIPS\u304a\u3088\u3072\u3099\u5206\u5b50\u753b\u50cf\u3092\u7528\u3044\u305f DeepSnap \u6df1\u5c64\u5b66\u7fd2\u6cd5<\/dt>

\u690d\u6ca2 \u82b3\u5e83, \u677e\u5742 \u606d\u6210<\/p>

\u7406\u8ad6\u5316\u5b66\u4f1a\u8a8c \u30d5\u30ed\u30f3\u30c6\u30a3\u30a2, 2(3), 118-126, 2020<\/p><\/dd><\/td><\/tr>

Physiologically Based Pharmacokinetic Models Predicting Renal and Hepatic Concentrations of Industrial Chemicals after Virtual Oral Doses in Rats<\/a><\/dt>

Kamiya Y, Otsuka S, Miura T, Yoshizawa M, Nakano A, Iwasaki M, Kobayashi Y, Shimizu M, Kitajima M, Shono F, Funatsu K, Yamazaki H<\/p>

Chem. Res. Toxicol., 33(7), 1736\u20131751, 2020, DOI: 10.1021\/acs.chemrestox.0c00009<\/p><\/dd><\/td><\/tr>

\u4e00\u822c\u5316\u5b66\u7269\u8cea\u306e\u7d4c\u53e3\u5438\u53ce\u904e\u7a0b\u3092\u542b\u3080\u7c21\u7d20\u306a\u751f\u7406\u5b66\u7684\u85ac\u7269\u52d5\u614b\u30e2\u30c7\u30eb\u3092\u6d3b\u7528\u3059\u308b\u4f53\u5185\u52d5\u614b\u8a55\u4fa1<\/a><\/dt>

\u5c71\u5d0e \u6d69\u53f2<\/p>

\u7b2c47\u56de \u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a, \u30aa\u30f3\u30e9\u30a4\u30f3,\u30002020\u5e746\u6708<\/p><\/dd><\/td><\/tr>

In silico\u30e2\u30c7\u30eb\u306b\u3088\u308b\u30e9\u30c3\u30c8\u306e\u85ac\u7269\u4ee3\u8b1d\u9175\u7d20\u963b\u5bb3\u6d3b\u6027\u306e\u4e88\u6e2c<\/a><\/dt>

\u6771\u91ce \u7adc\u7a7a, \u4e2d\u68ee \u745e\u5b63, \u5b89\u90e8 \u8cc0\u592e\u91cc, \u982d\u91d1 \u6b63\u535a, \u4f50\u3005\u6728 \u5d07\u5149, \u5409\u6210 \u6d69\u4e00<\/p>

\u7b2c47\u56de \u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a, \u30aa\u30f3\u30e9\u30a4\u30f3, 2020\u5e746\u670829\u65e5-7\u67081\u65e5, DOI: 10.14869\/toxpt.47.1.0_P-94S<\/p><\/dd><\/td><\/tr>

\u5316\u5b66\u7269\u8cea\u306e\u4e88\u6e2c\u7269\u6027\u5024\u3092\u7528\u3044\u308b\u751f\u7406\u5b66\u7684\u85ac\u7269\u52d5\u614b(PBPK)\u30e2\u30c7\u30eb\u3092\u6d3b\u7528\u3059\u308b\u30d2\u30c8\u81d3\u5668\u4e2d\u6fc3\u5ea6\u63a8\u79fb\u3068\u6bd2\u6027\u4e88\u6e2c<\/a><\/dt>

\u5c71\u5d0e \u6d69\u53f2<\/p>

\u7b2c47\u56de \u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a, \u30aa\u30f3\u30e9\u30a4\u30f3,\u30002020\u5e746\u6708, DOI: 10.14869\/toxpt.47.1.0_S6-2<\/p><\/dd><\/td><\/tr>

\u85ac\u7269\u52d5\u614b\u304b\u3089\u307f\u305f\u6bd2\u6027\u306e\u4f5c\u7528\u6a5f\u5e8f\u306b\u57fa\u3065\u304f\u5b89\u5168\u6027\u8a55\u4fa1\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30b7\u30b9\u30c6\u30e0\u306e\u73fe\u72b6\u3068\u5c06\u6765\u5c55\u671b<\/a><\/dt>

\u5317\u5cf6 \u6b63\u4eba<\/p>

\u7b2c47\u56de \u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a, \u30aa\u30f3\u30e9\u30a4\u30f3,\u30002020\u5e746\u6708, DOI: 10.14869\/toxpt.47.1.0_S2-3<\/p><\/dd><\/td><\/tr>

\u8a08\u7b97\u6bd2\u6027\u5b66\u306b\u57fa\u3065\u304fin silico\u6bd2\u6027\u4e88\u6e2c\u306e\u73fe\u72b6\u3068\u8ab2\u984c<\/a><\/dt>

\u690d\u6ca2 \u82b3\u5e83<\/p>

\u7b2c47\u56de \u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a, \u30aa\u30f3\u30e9\u30a4\u30f3,\u30002020\u5e746\u6708, DOI: 10.14869\/toxpt.47.1.0_S6-1<\/p><\/dd><\/td><\/tr>

Molecular Image-Based Prediction Models of Nuclear Receptor Agonists and Antagonists Using the DeepSnap-Deep Learning Approach with the Tox21 10K Library <\/a><\/dt>

Matsuzaka Y, Uesawa Y<\/p>

Molecules, 25(12), 2764, 2020, DOI: 10.3390\/molecules25122764<\/p><\/dd><\/td><\/tr>

\u907a\u4f1d\u5b50\u767a\u73fe\u91cf\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305fAOP\u306b\u57fa\u3065\u304f\u809d\u6bd2\u6027\u8a55\u4fa1\u306e\u53ef\u80fd\u6027Transcriptomics-Driven Evaluation on Liver Toxicity using Adverse Outcome Pathways (AOP) <\/a><\/dt>

\u8d64\u5800 \u6709\u7f8e, \u77f3\u7530 \u548c\u4e5f, \u5c71\u4e0b \u4eac\u4ecb, \u9f4b\u85e4 \u6587\u4ee3, \u4e2d\u4e95 \u8aa0<\/p>

Yakugaku Zasshi, 140(4), 491-498, 2020, DOI: 10.1248\/yakushi.19-00190-3<\/p><\/dd><\/td><\/tr>

\u5316\u5b66\u69cb\u9020\u304b\u3089\u306e\u6709\u5bb3\u6027\u767a\u73fe\u4e88\u6e2c\uff1a\u4eba\u5de5\u77e5\u80fd\u6280\u8853\u306e\u9069\u7528AI-based QSAR Modeling for Prediction of Active Compounds in MIE\/AOP<\/a><\/dt>

\u690d\u6ca2 \u82b3\u5e83<\/p>

Yakugaku Zasshi, 140(4), 499-505, 2020, DOI: 10.1248\/yakushi.19-00190-4<\/p><\/dd><\/td><\/tr>

Prediction Model of Aryl Hydrocarbon Receptor Activation by a Novel QSAR Approach, DeepSnap-Deep Learning<\/a><\/dt>

Matsuzaka Y, Hosaka T, Ogaito A, Yoshinari K, Uesawa Y<\/p>

Molecules, 25(6), 1317, 2020, DOI: 10.3390\/molecules25061317<\/p><\/dd><\/td><\/tr>

\u57f9\u990a\u30d2\u30c8\u304a\u3088\u3073\u30e9\u30c3\u30c8\u8178\u7d30\u80de\u3092\u7528\u3044\u305f\u4e00\u822c\u5316\u5b66\u7269\u8cea\u306e\u819c\u900f\u904e\u6027\u304a\u3088\u3073\u52d5\u7269\u809d\u7121\u6bd2\u6027\u6307\u6a19\u306e\u95a2\u9023<\/a><\/dt>

\u795e\u77e2 \u4f51\u8f14, \u5927\u6751 \u660e\u65e5\u9999, \u95dc\u53e3 \u4f51\u5b50, \u8d64\u7028 \u5343\u8061, \u963f\u90e8 \u96c4\u4eba, \u5e84\u91ce \u6587\u7ae0, \u5c71\u5d0e \u6d69\u53f2<\/p>

\u65e5\u672c\u85ac\u5b66\u4f1a \u7b2c140\u5e74\u4f1a, \u8a8c\u4e0a, 2020\u5e743\u6708<\/p><\/dd><\/td><\/tr>

\u591a\u69d8\u306a\u4e00\u822c\u5316\u5b66\u7269\u8cea\u304a\u3088\u3073\u533b\u85ac\u54c1\u306e\u57f9\u990a\u30d2\u30c8\u5c0f\u8178\u4e0a\u76ae\u819c\u900f\u904e\u4fc2\u6570\u306e\u4e88\u6e2c<\/a><\/dt>

\u95dc\u53e3 \u4f51\u5b50, \u795e\u77e2 \u4f51\u8f14, \u5927\u6751 \u660e\u65e5\u9999, \u8d64\u7028 \u5343\u8061, \u963f\u90e8 \u96c4\u4eba, \u5e84\u91ce \u6587\u7ae0, \u8239\u6d25 \u516c\u4eba, \u5c71\u5d0e \u6d69\u53f2<\/p>

\u65e5\u672c\u85ac\u5b66\u4f1a \u7b2c140\u5e74\u4f1a, \u8a8c\u4e0a, 2020\u5e743\u6708<\/p><\/dd><\/td><\/tr>

\u4e00\u822c\u5316\u5b66\u7269\u8cea\u306e\u30e9\u30c3\u30c8\u8840\u4e2d\u6fc3\u5ea6\u63a8\u79fb\u60c5\u5831\u3068\u751f\u7406\u5b66\u7684\u85ac\u7269\u52d5\u614b\u30e2\u30c7\u30eb\u3092\u6d3b\u7528\u3057\u305f\u4e88\u6e2c\u809d\u4e2d\u6fc3\u5ea6\u3068\u81d3\u5668\u6bd2\u6027<\/a><\/dt>

\u6751\u5c71 \u5178\u6075, \u67f3 \u9ebb\u7531, \u5ca9\u5d0e \u7f8e\u53cb, \u5c0f\u6797 \u7531\u60df, \u4e2d\u91ce \u5f69\u97f3, \u4e09\u6d66 \u667a\u5fb3, \u795e\u77e2 \u4f51\u8f14, \u5e84\u91ce \u6587\u7ae0, \u5c71\u5d0e \u6d69\u53f2<\/p>

\u65e5\u672c\u85ac\u5b66\u4f1a \u7b2c140\u5e74\u4f1a, \u8a8c\u4e0a, 2020\u5e743\u6708<\/p><\/dd><\/td><\/tr>

\u814e\u3092\u72ec\u7acb\u3055\u305b\u305f\u751f\u7406\u5b66\u7684\u85ac\u7269\u52d5\u614b\u30e2\u30c7\u30eb\u3067\u4e88\u6e2c\u3057\u305f\u4e00\u822c\u5316\u5b66\u7269\u8cea\u306e\u30e9\u30c3\u30c8\u7d44\u7e54\u4e2d\u6fc3\u5ea6\u3068\u81d3\u5668\u6bd2\u6027<\/a><\/dt>

\u91cd\u7530 \u548c\u6a39, \u6751\u5c71 \u5178\u6075, \u5409\u6ca2 \u611b\u6620, \u5927\u897f \u6f6e, \u5927\u585a \u660c\u5e73, \u795e\u77e2 \u4f51\u8f14, \u5e84\u91ce \u6587\u7ae0, \u5c71\u5d0e \u6d69\u53f2<\/p>

\u65e5\u672c\u85ac\u5b66\u4f1a \u7b2c140\u5e74\u4f1a, \u8a8c\u4e0a, 2020\u5e743\u6708<\/p><\/dd><\/td><\/tr>

\u4e00\u822c\u5316\u5b66\u7269\u8cea\u306e\u751f\u7406\u5b66\u7684\u85ac\u7269\u52d5\u614b\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\u518d\u73fe\u3057\u305f\u30e9\u30c3\u30c8\u6700\u9ad8\u8840\u4e2d\u6fc3\u5ea6\u3068\u8840\u6db2\u6bd2\u6027<\/a><\/dt>

\u5ca9\u5d0e \u7f8e\u53cb, \u6751\u5c71 \u5178\u6075, \u4e09\u6d66 \u667a\u5fb3, \u795e\u77e2 \u4f51\u8f14, \u5317\u5cf6 \u6b63\u4eba, \u5e84\u91ce \u6587\u7ae0, \u5c71\u5d0e \u6d69\u53f2<\/p>

\u65e5\u672c\u85ac\u5b66\u4f1a \u7b2c140\u5e74\u4f1a, \u8a8c\u4e0a, 2020\u5e743\u6708<\/p><\/dd><\/td><\/tr>

\u5bfe\u8c61\u7269\u8cea\u306e\u7269\u6027\u5024\u3092\u7528\u3044\u3066\u4e88\u6e2c\u3059\u308b\u85ac\u7269\u52d5\u614b\u6307\u6a19\u5024\u3092\u6d3b\u7528\u3057\u305f\u30d2\u30c8\u8840\u4e2d\u85ac\u7269\u52d5\u614b\u4e88\u6e2c<\/a><\/dt>

\u4e2d\u91ce \u5f69\u97f3, \u6e05\u6c34 \u4e07\u7d00\u5b50, \u4f50\u3005\u6728 \u9054\u90ce, \u4e09\u6d66 \u667a\u5fb3, \u795e\u77e2 \u4f51\u8f14, \u5317\u5cf6 \u6b63\u4eba, \u5e84\u91ce \u6587\u7ae0, \u8239\u6d25 \u516c\u4eba, \u5c71\u5d0e \u6d69\u53f2<\/p>

\u65e5\u672c\u85ac\u5b66\u4f1a \u7b2c140\u5e74\u4f1a, \u8a8c\u4e0a, 2020\u5e743\u6708<\/p><\/dd><\/td><\/tr>

Application of cytochrome P450 reactivity on the characterization of chemical compounds and its association with repeated-dose toxicity<\/a><\/dt>

Watanabe M, Sasaki T, Takeshita J, Kushida M, Shimizu Y, Oki H, Kitsunai Y, Nakayama H, Saruhashi H, Ogura R, Shizu R, Hosaka T, Yoshinari K<\/p>

Toxicology and Applied Pharmacology, 388, 114854, 2020, DOI: 10.1016\/j.taap.2019.114854<\/p><\/dd><\/td><\/tr>

DeepSnap-Deep Learning Approach Predicts Progesterone Receptor Antagonist Activity With High Performance<\/a><\/dt>

Matsuzaka Y, Uesawa Y<\/p>

Front. Bioeng. Biotechnol., 7(485), 1-18, 2020 , DOI: 10.3389\/fbioe.2019.00485<\/p><\/dd><\/td><\/tr>

Determination and prediction of permeability across intestinal epithelial cell monolayer of a diverse range of industrial chemicals\/drugs for estimation of oral absorption as a putative marker of hepatotoxicity<\/a><\/dt>

Kamiya Y, Takaku H, Yamada R, Akase C, Abe Y, Sekiguchi Y, Murayama N, Shimizu M, Kitajima M, Shono F, Funatsu K, Yamazaki H<\/p>

Toxicol. Rep., 7, 149-154, 2020, DOI: 10.1016\/j.toxrep.2020.01.004<\/p><\/dd><\/td><\/tr>

\u4eba\u5de5\u77e5\u80fd\u306b\u3088\u308b\u6bd2\u6027\u4e88\u6e2c\u306e\u65b9\u6cd5<\/dt>

\u5e84\u91ce \u6587\u7ae0 <\/p>

\u300c\u4eba\u5de5\u77e5\u80fd\u3092\u6d3b\u7528\u3057\u305f\u7814\u7a76\u958b\u767a\u306e\u52b9\u7387\u5316\u3068\u5c0e\u5165\u30fb\u5b9f\u7528\u5316\u300d, \uff08\u682a\uff09\u6280\u8853\u60c5\u5831\u5354\u4f1a, 2019\u5e7412\u670827\u65e5<\/p><\/dd><\/td><\/tr>

\u30e9\u30c3\u30c8\u304a\u3088\u3073\u30d2\u30c8\u306e\u85ac\u7269\u52d5\u614b\u30d1\u30e9\u30e1\u30fc\u30bf\u5024\u63a8\u5b9a\u306b\u57fa\u3065\u304f\u98df\u54c1\u6210\u5206\u306e\u5438\u53ce\u3068\u8840\u4e2d\u6fc3\u5ea6\u4e88\u6e2c<\/dt>

\u4e09\u6d66 \u667a\u5fb3, \u795e\u77e2 \u4f51\u8f14, \u5317\u5cf6 \u6b63\u4eba, \u6e05\u6c34 \u4e07\u7d00\u5b50, \u5e84\u91ce \u6587\u7ae0, \u8239\u6d25 \u516c\u4eba, \u5c71\u5d0e \u6d69\u53f2<\/p>

\u65e5\u672c\u85ac\u7269\u52d5\u614b\u5b66\u4f1a \u7b2c34\u56de\u5e74\u4f1a , \u3064\u304f\u3070, 2019\u5e7412\u67089\u65e5-12\u65e5<\/p><\/dd><\/td><\/tr>

\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\u6cd5AI-SHIPS\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u304a\u3051\u308b\u6bd2\u6027\u4e88\u6e2c\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u306e\u65b9\u91dd\u3068\u73fe\u72b6<\/dt>

\u8239\u6d25 \u516c\u4eba<\/p>

\u7b2c32\u56de \u65e5\u672c\u5b9f\u9a13\u52d5\u7269\u4ee3\u66ff\u6cd5\u5b66\u4f1a, \u3064\u304f\u3070, 2019\u5e7411\u670821\u65e5<\/p><\/dd><\/td><\/tr>

\u7d4c\u6e08\u7523\u696d\u7701\u7814\u7a76\u958b\u767a\u4e8b\u696d\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\u958b\u767a\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff08AI-SHIPS\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff09<\/a><\/dt>

\u8239\u6d25 \u516c\u4eba, \u91d1\u5730 \u9686\u5fd7, \u5e84\u91ce \u6587\u7ae0, \u690d\u6ca2 \u82b3\u5e83<\/p>

\u60c5\u5831\u8a08\u7b97\u5316\u5b66\u751f\u7269\u5b66\u4f1a\uff08CBI\u5b66\u4f1a\uff09 2019\u5e74\u5927\u4f1a, \u6771\u4eac, 2019\u5e7410\u6708<\/p><\/dd><\/td><\/tr>

High-performance prediction models utilizing a novel deep learning-based QSAR analysis using Deep Snap and the Tox21 10k library<\/a><\/dt>

\u677e\u5742 \u606d\u6210\u3001\u690d\u6ca2 \u82b3\u5e83<\/p>

\u60c5\u5831\u8a08\u7b97\u5316\u5b66\u751f\u7269\u5b66\u4f1a\uff08CBI\u5b66\u4f1a\uff09 2019\u5e74\u5927\u4f1a, \u6771\u4eac, 2019\u5e7410\u6708<\/p><\/dd><\/td><\/tr>

Extrapolation of Hepatic Concentrations of Industrial Chemicals Using Pharmacokinetic Models to Predict Hepatotoxicity<\/a><\/dt>

Yamazaki H, Kamiya Y<\/p>

Toxicol. Res., 35(4), 295-301,2019, DOI: 10.5487\/TR.2019.35.4.295<\/p><\/dd><\/td><\/tr>

Prediction Model with High-Performance Constitutive Androstane Receptor(CAR) Using DeepSnap-Deep Learning Approach from the Tox21 10K CompoundLibrary<\/a><\/dt>

Matsuzaka Y, Uesawa Y<\/p>

Int. J. Mol. Sci., 20(19), 4855, 2019, DOI: 10.3390\/ijms20194855<\/p><\/dd><\/td><\/tr>

\u30d2\u30c8\u5065\u5eb7\u30ea\u30b9\u30af\u8a55\u4fa1\u306e\u305f\u3081\u306eQSAR\u7814\u7a76\u306e\u8ab2\u984c<\/dt>

\u7af9\u4e0b \u6f64\u4e00<\/p>

\u7b2c25\u56de \u65e5\u672c\u74b0\u5883\u6bd2\u6027\u5b66\u4f1a\u7814\u7a76\u767a\u8868\u4f1a \u62db\u5f85\u8b1b\u6f14, \u3064\u304f\u3070, 2019\u5e749\u670827\u65e5<\/p><\/dd><\/td><\/tr>

\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\u958b\u767a\u306b\u3080\u3051\u3066<\/dt>

\u8239\u6d25 \u516c\u4eba<\/p>

\u30b1\u30df\u30ab\u30eb\u30de\u30c6\u30ea\u30a2\u30ebJapan2019\u5316\u5b66\u7269\u8cea\u7ba1\u7406\u30df\u30fc\u30c6\u30a3\u30f3\u30b0\u3000, \u6a2a\u6d5c, 2019\u5e749\u670819\u65e5<\/p><\/dd><\/td><\/tr>

\u56fd\u5185\u5916\u306e\u8a08\u7b97\u79d1\u5b66\u7684\u624b\u6cd5\u3092\u7528\u3044\u308b\u6bd2\u6027\u4e88\u6e2c\u624b\u6cd5\u958b\u767a\u306e\u73fe\u72b6\u3068\u8ab2\u984c<\/dt>

\u5e84\u91ce \u6587\u7ae0 <\/p>

\u30b1\u30df\u30ab\u30eb\u30de\u30c6\u30ea\u30a2\u30ebJapan2019\u5316\u5b66\u7269\u8cea\u7ba1\u7406\u30df\u30fc\u30c6\u30a3\u30f3\u30b0\u3000, \u6a2a\u6d5c, 2019\u5e749\u670819\u65e5<\/p><\/dd><\/td><\/tr>

Human plasma and liver concentrations of styrene estimated by combining a simple physiologically based pharmacokinetic model with rodent data<\/a><\/dt>

Miura T, Uehara S, Nakazato M, Kusama T, Toda A, Kamiya Y, Murayama N, Shimizu M, Suemizu H, Yamazaki H<\/p>

J. Toxicol. Sci., 44(8), 543-548, 2019, DOI: 10.2131\/jts.44.543<\/p><\/dd><\/td><\/tr>

\u6bd2\u6027\u95a2\u9023\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u6bd2\u6027\u4e88\u6e2c\u30b7\u30b9\u30c6\u30e0\uff08AI-SHIPS\uff09\u306e\u69cb\u7bc9\u306b\u5411\u3051\u3066<\/dt>

\u5e84\u91ce \u6587\u7ae0 <\/p>

ILSI\uff08\u56fd\u969b\u751f\u547d\u79d1\u5b66\u7814\u7a76\u6a5f\u69cb\u8a8c\uff09JAPAN, 139, 29, 2019<\/p><\/dd><\/td><\/tr>

\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u3000\u5316\u5b66\u7269\u8cea\u958b\u767a\u3092\u63a8\u9032\u3059\u308b\u30a4\u30f3\u30b7\u30ea\u30b3\u6bd2\u6027\u4e88\u6e2c\u624b\u6cd5\u306e\u958b\u767a\u3000A-SHIPS \u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u63a8\u9032\u3068\u5c55\u671b<\/dt>

\u5e84\u91ce \u6587\u7ae0 <\/p>

\u7b2c46\u56de \u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a, \u5fb3\u5cf6, 2019\u5e746\u670826\u65e5<\/p><\/dd><\/td><\/tr>

\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u3000\u5316\u5b66\u7269\u8cea\u958b\u767a\u3092\u63a8\u9032\u3059\u308b\u30a4\u30f3\u30b7\u30ea\u30b3\u6bd2\u6027\u4e88\u6e2c\u624b\u6cd5\u306e\u958b\u767a\u3000A-SHIPS \u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u304a\u3051\u308b\u6bd2\u6027\u4e88\u6e2c\u624b\u6cd5\u958b\u767a\u306e\u65b9\u91dd\u3068\u73fe\u72b6<\/dt>

\u8239\u6d25 \u516c\u4eba<\/p>

\u7b2c46\u56de \u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a, \u5fb3\u5cf6, 2019\u5e746\u670826\u65e5<\/p><\/dd><\/td><\/tr>

\u809d\u6bd2\u6027\u4e88\u6e2c\u306e\u305f\u3081\u85ac\u7269\u52d5\u614b\u30e2\u30c7\u30eb<\/a><\/dt>

\u5c71\u5d0e \u6d69\u53f2<\/p>

\u7b2c46\u56de \u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a, \u5fb3\u5cf6, 2019\u5e746\u6708, DOI: 10.14869\/toxpt.46.1.0_S1-5<\/p><\/dd><\/td><\/tr>

\u30a4\u30f3\u30d3\u30c8\u30ed\u8a66\u9a13\u3092\u5229\u7528\u3057\u305f\u809d\u6bd2\u6027\u8a55\u4fa1\u3068\u305d\u306e\u30a4\u30f3\u30b7\u30ea\u30b3\u4e88\u6e2c\u30e2\u30c7\u30eb\u958b\u767a\u3078\u306e\u5fdc\u7528<\/a><\/dt>

\u5409\u6210 \u6d69\u4e00<\/p>

\u7b2c46\u56de \u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a, \u5fb3\u5cf6, 2019\u5e746\u670826\u65e5, DOI: 10.14869\/toxpt.46.1.0_S1-4<\/p><\/dd><\/td><\/tr>

Predictability of human pharmacokinetics of diisononyl phthalate (DINP) using chimeric mice with humanized liver.<\/a><\/dt>

Iwata H, Goto M, Sakai N, Suemizu H, Yamazaki H<\/p>

Xenobiotica, 49(11), 1311-1322, 2019, DOI: 10.1080\/00498254.2018.1564087<\/p><\/dd><\/td><\/tr>

\u6bd2\u6027\u95a2\u9023\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305fAI-SHIPS\uff08\u4eba\u5de5\u77e5\u80fd\u306b\u3088\u308b\u6b21\u4e16\u4ee3\u578b\u5b89\u5168\u6027\u4e88\u6e2c\u624b\u6cd5\uff09\u958b\u767a\u306b\u5411\u3051\u3066<\/dt>

\u5e84\u91ce \u6587\u7ae0 <\/p>

\u5316\u6210\u54c1\u5de5\u696d\u5354\u4f1a\u30fb\u95a2\u897f\u5316\u5b66\u5de5\u696d\u5354\u4f1a\u30bb\u30df\u30ca\u30fc\u300cAI-SHIPS \u8aac\u660e\u4f1a\u300d, \u5927\u962a, 2019\u5e746\u67083\u65e5<\/p><\/dd><\/td><\/tr>

AI-SHIPS \u3068\u306f\u4f55\u304b\uff5e\u305d\u306e\u4ed5\u7d44\u307f\u3068\u6cd5\u898f\u5236\u5bfe\u5fdc\u306b\u304a\u3051\u308b\u30e1\u30ea\u30c3\u30c8\u3001\u65e5\u672c\u306e\u7523\u696d\u754c\u306b\u4e0e\u3048\u308b\u5f71\u97ff<\/dt>

\u5e84\u91ce \u6587\u7ae0 <\/p>

\u6708\u520a\u3000\u5316\u5b66\u7269\u8cea\u7ba1\u7406, 3(11), 4-15, 2019<\/p><\/dd><\/td><\/tr>

Quantitative Structure-Activity Relationship (QSAR) analysis using deep learning based on Deep Snap, a novel molecular image input technique<\/dt>

\u677e\u5742 \u606d\u6210\u3001\u690d\u6ca2 \u82b3\u5e83<\/p>

\u7b2c2\u56de CBI\u82e5\u624b\u306e\u4f1a\u8b1b\u6f14\u4f1a, \u6771\u4eac, 2019\u5e745\u6708<\/p><\/dd><\/td><\/tr>

Optimization of a Deep-Learning Method Based on the Classification of Images Generated by Parameterized Deep Snap, a Novel Molecular-Image-Input Technique for Quantitative Structure\u2013Activity Relationship (QSAR) Analysis<\/a><\/dt>

Matsuzaka Y, Uesawa Y<\/p>

Front. Bioeng. Biotechnol., 7(65), 1-15, 2019, DOI: 10.3389\/fbioe.2019.00065<\/p><\/dd><\/td><\/tr>

\u5275\u85ac\u306e\u65b0\u3057\u3044\u6f6e\u6d41\u3092\u63a2\u308b\u30fc\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30c3\u30af\u30b9\u306b\u3088\u308b\u5316\u5b66\u7269\u8cea\u306e\u5b89\u5168\u6027\u30fb\u6bd2\u6027\u4e88\u6e2c\u3000AI-SHIPS \u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u6982\u8981<\/dt>

\u8239\u6d25 \u516c\u4eba<\/p>

\u5275\u85ac\u6280\u8853\u8abf\u67fb\u5831\u544a\u66f8, p.56, 2019\u5e743\u6708<\/p><\/dd><\/td><\/tr>

\u6bd2\u6027\u95a2\u9023\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305fAI-SHIPS\uff08\u4eba\u5de5\u77e5\u80fd\u306b\u3088\u308b\u6b21\u4e16\u4ee3\u578b\u5b89\u5168\u6027\u4e88\u6e2c\u624b\u6cd5\uff09\u958b\u767a\u306b\u5411\u3051\u3066<\/dt>

\u5e84\u91ce \u6587\u7ae0 <\/p>

\u5316\u6210\u54c1\u5de5\u696d\u5354\u4f1a\u300cAI-SHIPS \u8aac\u660e\u4f1a\u300d, \u6771\u4eac, 2019\u5e742\u670827\u65e5<\/p><\/dd><\/td><\/tr>

Steady-state human pharmacokinetics of monobutyl phthalate predicted by physiologically based pharmacokinetic modeling using single-dose data from humanized-liver mice orally administered with dibutyl phthalate<\/a><\/dt>

Miura T, Uehara S, Mizuno S, Yoshizawa M, Murayama N, Kamiya Y, Shimizu M, Suemizu H, Yamazaki H<\/p>

Chem. Res. Toxicol., 32(2), 333-340, 2019, DOI: 10.1021\/acs.chemrestox.8b00361<\/p><\/dd><\/td><\/tr>

\u6bd2\u6027\u95a2\u9023\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u5316\u5b66\u7269\u8cea\u306e \u5b89\u5168\u6027\u4e88\u6e2c\uff08AI-SHIPS\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff09 \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\uff0d<\/a><\/dt>

\u8239\u6d25 \u516c\u4eba<\/p>

\u65e5\u672c\u5316\u5b66\u4f1a\u60c5\u5831\u5316\u5b66\u90e8\u4f1a\u8a8c, 36(3), 43-46, 2018, DOI: 10.11546\/cicsj.36.43<\/p><\/dd><\/td><\/tr>

Plasma and hepatic concentrations of chemicals after virtual oral administrations extrapolated using rat plasma data and simple physiologically based pharmacokinetic models<\/a><\/dt>

Kamiya Y, Otsuka S, Miura T, Takaku H, Yamada R, Nakazato M, Nakamura H, Mizuno S, Shono F, Funatsu K, Yamazaki H<\/p>

Chem. Res. Toxicol., 32(1), 211-218, 2019, DOI: 10.1021\/acs.chemrestox.8b00307<\/p><\/dd><\/td><\/tr>

AI-SHIPS\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u6982\u8981 \u305d\u306e\u63a8\u9032\u3068\u4eca\u5f8c\u306e\u5c55\u958b\u306b\u3064\u3044\u3066<\/dt>

\u5e84\u91ce \u6587\u7ae0 <\/p>

ILSI\uff08\u56fd\u969b\u751f\u547d\u79d1\u5b66\u7814\u7a76\u6a5f\u69cb\uff09\u98df\u54c1\u5b89\u5168\u7814\u7a76\u4f1a\u3010\u98df\u54c1\u30ea\u30b9\u30af\u7814\u7a76\u90e8\u4f1a\u3011 , \u6771\u4eac, 2018\u5e7412\u670813\u65e5<\/p><\/dd><\/td><\/tr>

\u6bd2\u6027\u95a2\u9023\u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u5316\u5b66\u7269\u8cea\u306e\u5b89\u5168\u6027\u4e88\u6e2c<\/dt>

\u8239\u6d25 \u516c\u4eba<\/p>

\u6708\u520a\u3000MATERIALSTAGE\u3000\u6280\u8853\u60c5\u5831\u5354\u4f1a, 2018\u5e7412\u6708\u53f7\u5dfb\u982d<\/p><\/dd><\/td><\/tr>

\u52d5\u7269\u5b9f\u9a13\u524a\u6e1b\u306e\u5207\u308a\u672d\u3000AI-SHIPS<\/dt>

\u8239\u6d25 \u516c\u4eba, \u5e84\u91ce \u6587\u7ae0 <\/p>

\u5316\u5b66\u5de5\u696d\u65e5\u5831, 2018\u5e7412\u67086\u65e5<\/p><\/dd><\/td><\/tr>

AI-SHIPS\u6982\u8981<\/dt>

\u8239\u6d25 \u516c\u4eba<\/p>

AI-SHIPS \u56fd\u969b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff5e In Silico\u306b\u3088\u308b\u6bd2\u6027\u4e88\u6e2c\u624b\u6cd5\u958b\u767a\u306e\u6700\u524d\u7dda \uff5e, \u6771\u4eac, 2018\u5e7411\u67089\u65e5<\/p><\/dd><\/td><\/tr>

AI-SHIPS\u306b\u304a\u3051\u308bADME\/PBPK\u306e\u53d6\u308a\u7d44\u307f<\/dt>

\u5c71\u5d0e \u6d69\u53f2<\/p>

AI-SHIPS \u56fd\u969b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff5e In Silico\u306b\u3088\u308b\u6bd2\u6027\u4e88\u6e2c\u624b\u6cd5\u958b\u767a\u306e\u6700\u524d\u7dda \uff5e, \u6771\u4eac, 2018\u5e7411\u67089\u65e5<\/p><\/dd><\/td><\/tr>

\u767a\u73fe\u6a5f\u5e8f\u306b\u57fa\u3065\u304f\u809d\u6bd2\u6027\u4e88\u6e2c\u30a4\u30f3\u30b7\u30ea\u30b3\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u306b\u304a\u3051\u308b\u30a4\u30f3\u30d3\u30c8\u30ed\u8a66\u9a13\u306e\u6d3b\u7528<\/dt>

\u5409\u6210 \u6d69\u4e00<\/p>

AI-SHIPS \u56fd\u969b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff5e In Silico\u306b\u3088\u308b\u6bd2\u6027\u4e88\u6e2c\u624b\u6cd5\u958b\u767a\u306e\u6700\u524d\u7dda \uff5e, \u6771\u4eac, 2018\u5e7411\u67089\u65e5<\/p><\/dd><\/td><\/tr>

\u767a\u73fe\u6a5f\u5e8f\u306b\u57fa\u3065\u304f\u6bd2\u6027\u4e88\u6e2c\u30a4\u30f3\u30b7\u30ea\u30b3\u30b7\u30b9\u30c6\u30e0\u958b\u767a\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306b\u3064\u3044\u3066<\/dt>

\u7af9\u4e0b \u6f64\u4e00<\/p>

AI-SHIPS \u56fd\u969b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff5e In Silico\u306b\u3088\u308b\u6bd2\u6027\u4e88\u6e2c\u624b\u6cd5\u958b\u767a\u306e\u6700\u524d\u7dda \uff5e, \u6771\u4eac, 2018\u5e7411\u67089\u65e5<\/p><\/dd><\/td><\/tr>

Overview of AI-SHIPS Project<\/dt>

\u8239\u6d25 \u516c\u4eba<\/p>

Tokyo AI-SHIPS International Symposium \u201cThe front line of development of in silico toxicity prediction system\u201d, Tokyo, Japan, Nov. 2018, \u6771\u4eac, 2018\u5e7411\u67089\u65e5<\/p><\/dd><\/td><\/tr>

A physiologically based pharmacokinetic model to predict chemical concentrationsin livers after virtual oral doses<\/dt>

\u5c71\u5d0e \u6d69\u53f2<\/p>

Tokyo AI-SHIPS International Symposium \u201cThe front line of development of in silico toxicity prediction system\u201d, Tokyo, Japan, Nov. 2018, \u6771\u4eac, 2018\u5e7411\u6708<\/p><\/dd><\/td><\/tr>

Application of in vitro assays to development of mechanism-based in silico prediction system of hepatotoxicity<\/dt>

\u5409\u6210 \u6d69\u4e00<\/p>

Tokyo AI-SHIPS International Symposium \u201cThe front line of development of in silico toxicity prediction system\u201d, Tokyo, Japan, Nov. 2018, \u6771\u4eac, 2018\u5e7411\u67089\u65e5<\/p><\/dd><\/td><\/tr>

Construction of a database contributing to development of mechanism-based insilico toxicity prediction system<\/dt>

\u7af9\u4e0b \u6f64\u4e00<\/p>

\u6771\u4eac, 2018\u5e7411\u67089\u65e5<\/p><\/dd><\/td><\/tr>

Quantitative Structure-Activity Relationship (QSAR) analysis using deep learning based on Deep Snap, a novel molecular image input technique<\/dt>

\u677e\u5742 \u606d\u6210\u3001\u690d\u6ca2 \u82b3\u5e83<\/p>

\u60c5\u5831\u8a08\u7b97\u5316\u5b66\u751f\u7269\u5b66\u4f1a\uff08CBI\u5b66\u4f1a\uff09 2018\u5e74\u5927\u4f1a, \u6771\u4eac, 2018\u5e7410\u6708<\/p><\/dd><\/td><\/tr>

CBI\u5b66\u4f1a2018\u5e74\u5927\u4f1a \u30dd\u30b9\u30bf\u30fc\u8cde<\/dt>

\u677e\u5742 \u606d\u6210\u3001\u690d\u6ca2 \u82b3\u5e83<\/p>

\u60c5\u5831\u8a08\u7b97\u5316\u5b66\u751f\u7269\u5b66\u4f1a\uff08CBI\u5b66\u4f1a\uff09 2018\u5e74\u5927\u4f1a, \u6771\u4eac, 2018\u5e7410\u6708<\/p><\/dd><\/td><\/tr>

\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\u958b\u767a\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff08AI-SHIPS\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff09<\/a><\/dt>

\u8239\u6d25 \u516c\u4eba, \u5c71\u5d0e \u6d69\u53f2, \u5409\u6210 \u6d69\u4e00<\/p>

\u60c5\u5831\u8a08\u7b97\u5316\u5b66\u751f\u7269\u5b66\u4f1a\uff08CBI\u5b66\u4f1a\uff09 2018\u5e74\u5927\u4f1a, \u6771\u4eac, 2018\u5e7410\u6708<\/p><\/dd><\/td><\/tr>

\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\uff08AI-SHIPS\uff09\u306e\u958b\u767a<\/dt>

\u8239\u6d25 \u516c\u4eba, \u5e84\u91ce \u6587\u7ae0 <\/p>

\u7b2c45\u56de \u65e5\u672c\u6bd2\u6027\u5b66\u4f1a\u5b66\u8853\u5e74\u4f1a, \u5927\u962a, 2018\u5e747\u670818\u65e5<\/p><\/dd><\/td><\/tr>

\u6b21\u4e16\u4ee3\u578b\u5b89\u5168\u6027\u4e88\u6e2c\u624b\u6cd5\u300cAI-SHIPS\u300d\u52dd\u3066\u308b\u6750\u6599 \u52b9\u679c\u7684\u306b<\/dt>

\u8239\u6d25 \u516c\u4eba<\/p>

\u5316\u5b66\u5de5\u696d\u65e5\u5831, 2018\u5e746\u670825\u65e5<\/p><\/dd><\/td><\/tr>

Suitable albumin concentrations for enhanced drug oxidation activities mediated by human liver microsomal cytochrome P450 2C9 and other forms predicted with unbound fractions and partition\/distribution coefficients of model substrates<\/a><\/dt>

Shimura K, Murayama N, Tanaka S, Onozeki S, Yamazaki H<\/p>

Xenobiotica, 49(5), 557-562, 2018, DOI: 10.1080\/00498254.2018.1482576<\/p><\/dd><\/td><\/tr>

Human plasma concentrations of trimethylamine N-oxide extrapolated using pharmacokinetic modeling based on metabolic profiles of deuterium-labeled trimethylamine in humanized-liver mice<\/a><\/dt>

Shimizu M, Suemizu H, Mizuno S, Kusama T, Miura T, Uehara S, Yamazaki H<\/p>

J. Toxicol. Sci., 43(6), 387-393, 2018, DOI: 10.2131\/jts.43.387<\/p><\/dd><\/td><\/tr>

Association of pharmacokinetic profiles of lenalidomide in human plasma simulated using pharmacokinetic data in humanized-liver mice with liver toxicity detected by human serum albumin RNA<\/a><\/dt>

Murayama N, Suemizu H, Uehara S, Kusama T, Mitsui M, Kamiya Y, Shimizu M, Guengerich FP, Yamazaki H<\/p>

J. Toxicol. Sci., 43(6), 369-375, 2018, DOI: 10.2131\/jts.43.369<\/p><\/dd><\/td><\/tr>

Human urinary concentrations of monoisononyl phthalate estimated using physiologically based pharmacokinetic modeling and experimental pharmacokinetics in humanized-liver mice orally administered with diisononyl phthalate.<\/a><\/dt>

Miura T, Suemizu H, Goto M, Sakai N, Iwata H, Shimizu M, Yamazaki H<\/p>

Xenobiotica, 49(5), 513-520, 2019, DOI: 10.1080\/00498254.2018.1471753<\/p><\/dd><\/td><\/tr>

\u30d5\u30a9\u30fc\u30ab\u30b9\u30c8\u30bb\u30c3\u30b7\u30e7\u30f3\u300c\u8a08\u7b97\u6bd2\u6027\u5b66\u3068\u4eba\u5de5\u77e5\u80fd\uff08\uff12\uff09\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\u958b\u767a\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff08AI-SHIPS\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\uff09<\/a><\/dt>

\u5e84\u91ce \u6587\u7ae0\u3001\u798f\u897f \u5feb\u6587, \u5c71\u672c \u771f\u53f8<\/p>

\u60c5\u5831\u8a08\u7b97\u5316\u5b66\u751f\u7269\u5b66\u4f1a\uff08CBI\u5b66\u4f1a\uff09 2017\u5e74\u5927\u4f1a, \u6771\u4eac, 2017\u5e7410\u67085\u65e5<\/p><\/dd><\/td><\/tr>

\u30d5\u30a9\u30fc\u30ab\u30b9\u30c8\u30bb\u30c3\u30b7\u30e7\u30f3\u300c\u8a08\u7b97\u6bd2\u6027\u5b66\u3068\u4eba\u5de5\u77e5\u80fd\uff08\uff11\uff09\uff0d\u8a08\u7b97\u6bd2\u6027\u5b66\u306b\u304a\u3051\u308b\u4eba\u5de5\u77e5\u80fd\u306e\u57fa\u672c\u3002\u904e\u53bb\u3001\u73fe\u5728\u305d\u3057\u3066\u4eca\u5f8c\uff0d<\/a><\/dt>

\u798f\u539f \u548c\u90a6<\/p>

\u60c5\u5831\u8a08\u7b97\u5316\u5b66\u751f\u7269\u5b66\u4f1a\uff08CBI\u5b66\u4f1a\uff09 2017\u5e74\u5927\u4f1a, \u6771\u4eac, 2017\u5e7410\u67083\u65e5<\/p><\/dd><\/td><\/tr>

\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\u958b\u767a\u306b\u3080\u3051\u3066<\/a><\/dt>

\u8239\u6d25 \u516c\u4eba<\/p>

2017\u5e74 \u65e5\u672c\u5316\u5b66\u5de5\u696d\u5354\u4f1a LRI\u7814\u7a76\u5831\u544a\u4f1a \u30b7\u30f3\u30dd\u30b8\u30a6\u30e0, \u6771\u4eac, 2017\u5e748\u670825\u65e5<\/p><\/dd><\/td><\/tr>

\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\u958b\u767a\u306b\u3080\u3051\u3066<\/a><\/dt>

\u5e84\u91ce \u6587\u7ae0 <\/p>

\u5316\u5b66\u7269\u8cea\u7ba1\u7406\u30df\u30fc\u30c6\u30a3\u30f3\u30b02017, \u6a2a\u6d5c, 2017\u5e748\u670824\u65e5<\/p><\/dd><\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

Hepaotoxicological potential of P-toluic acid in humanised-liver mice investigated using simplified physiologi […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_locale":"ja","_original_post":"http:\/\/www-dsc.naist.jp\/ai-ships\/?page_id=80","footnotes":""},"class_list":["post-80","page","type-page","status-publish","has-post-thumbnail","hentry","ja"],"acf":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"post-thumbnail":false},"uagb_author_info":{"display_name":"ad_t","author_link":"http:\/\/www-dsc.naist.jp\/ai-ships\/author\/ad_t\/"},"uagb_comment_info":0,"uagb_excerpt":"Hepaotoxicological potential of P-toluic acid in humani…","_links":{"self":[{"href":"http:\/\/www-dsc.naist.jp\/ai-ships\/wp-json\/wp\/v2\/pages\/80","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www-dsc.naist.jp\/ai-ships\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/www-dsc.naist.jp\/ai-ships\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/www-dsc.naist.jp\/ai-ships\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www-dsc.naist.jp\/ai-ships\/wp-json\/wp\/v2\/comments?post=80"}],"version-history":[{"count":4,"href":"http:\/\/www-dsc.naist.jp\/ai-ships\/wp-json\/wp\/v2\/pages\/80\/revisions"}],"predecessor-version":[{"id":264,"href":"http:\/\/www-dsc.naist.jp\/ai-ships\/wp-json\/wp\/v2\/pages\/80\/revisions\/264"}],"wp:attachment":[{"href":"http:\/\/www-dsc.naist.jp\/ai-ships\/wp-json\/wp\/v2\/media?parent=80"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}