業績、受賞歴


受賞

2019

2018


学術論文誌

2020

2019

  • Kyoko Hanawa-Suetsugu, Yuzuru Itoh, Maisarah Ab Fatah, Tamako Nishimura, Kazuhiro Takemura, Kohei Takeshita, Satoru Kubota, Naoyuki Miyazaki, Wan Nurul Izzati Wan Mohamad Noor, Takehiko Inaba, Nhung Thi Hong Nguyen, Sayaka Hamada-Nakahara, Kayoko Oono-Yakura, Masashi Tachikawa, Kenji Iwasaki, Daisuke Kohda, Masaki Yamamoto, Akio Kitao, Atsushi Shimada, Shiro Suetsugu, “Phagocytosis is mediated by two-dimensional assemblies of the F-BAR protein GAS7.”, Nature Communications, 10, 4763, Oct. 2019
  • Manabu Kitamata, Kyoko Hanawa-Suetsugu, Shiro Suetsugu, “Membrane-deformation ability of ANKHD1 is involved in the early endosome enlargement”, iScience, 17, 101-118, June 2019
  • Yoshiaki Haramiishi, Ryo Kawatani, Nalinthip Chanthaset, Hiroharu Ajiro, “Preparation of Block Copolymer of Poly(trimethylene carbonate) with Oligo(ethylene glycol) and the Surface Properties of the Dip Coated Film”
    Polym. Test. 2020, 86, 106484
  • Ryo Kawatani, Malcolm A. Kelland, Hiroharu Ajiro, “Design of a Rigid Side Chain for Poly(N-vinylamide) Derivatives Bearing an Alkenyl Group and Evaluation of Their Ability to Inhibit TetrahydrofuranHydrate Crystal Growth”
    J. Appl. Polym. Sci. accepted on 16th Feb. 2020.
  • Natjaya Ekapakul, Koichi Irikura, Hiroharu Ajiro, Chantiga Choochottiros, “Star-shaped Polycaprolactone/Chitosan Composite Hydrogels: Fabrication and Characterization”, Polym. Int. accepted on 8th Feb. 2020.
  • N Afiqah-Aleng, M Altaf-Ul-Amin, S Kanaya, ZA Mohamed-Hussein, “Graph cluster approach in identifying novel proteins and significant pathways involved in polycystic ovary syndrome”, Reproductive BioMedicine Online 40 (2), pp319-330, 2020
  • M Altaf-Ul-Amin, MB Karim, P Hu, ONO Naoaki, S Kanaya, “Discovery of inflammatory bowel disease-associated miRNAs using a novel bipartite clustering approach”, BMC Medical Genomics 13, 1-10, 2020
  • Yu Miyazaki,  Naoaki Ono,  Ming Huang,  Md. Altaf‐Ul‐Amin, Shigehiko Kanaya, “Comprehensive Exploration of Target‐specific Ligands Using a Graph Convolution Neural Network”, Molecular Informatics (2020), 39, 1900095
  • Guang SHI, Hoko KYO, Toshihiro KAWASAKI, Shigehiko KANAYA, Mariko SATO, Saki TOKUDA-KAKUTANI, Hiroshi WATANABE, Norihito MURAYAMA, Minako OHASHI, Md Altaf-Ul-Amin, Naoaki ONO, Hiroki TANAKA, Satoshi NAKAMURA, Kazuo UEBABA, Nobutaka SUZUKI, Ming HUANG, “Evaluation and Interpretation of 9 Body Constitution Scores of CCMQ-J by Seven Independent Questionnaires”, Japanese J. of Complementary and Alternative Medicine, 16, pp79-93 , 2019
  • 德田(角谷) 佐紀, 田中 宏季, 中村 哲, 村山 宣人, 許 鳳浩, 上馬塲 和夫, 鈴木 信孝, 金谷 重彦,”中医体質と生活習慣病リスクファクターの関連性に関する横断的研究”,日本補完代替医療学会誌, 16, pp105-112, 2019
  • 佐藤 真梨子, 川崎 聡大, 黄 銘, 許 鳳浩, 小野 直亮, 江口 遼平, Md.Altaf-Ul-Amin, 德田(角谷) 佐紀, 渡辺 斉志, 村山 宣人, 中村 哲, 山口 栞,田中 宏季, 金谷 重彦, 朱 燕波, 戴 昭宇, 王 琦, 上馬塲 和夫, 鈴木 信孝,”クラウドソーシングを活用した日本全体のCCMQ-J問診票調査における最適グループ数とその体質特性”, 日本補完代替医療学会誌  16, pp105-112, 2019
  • 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
  • Laufkötter O, Miyao T & Bajorath J. “Large-scale comparison of alternative similarity search strategies with varying chemical information contents. ” ACS Omega 4, 15304-15311
  • Ryohei Eguchi, Naoaki Ono, Aki Hirai (Morita), Tetsuo Katuragi, Satoshi Nakamura,Ming Huang, Md. Altaf-Ul-Amin, Shigehiko Kanaya,Classification of alkaloids according to the starting substances of their biosynthetic pathwaysusing graph convolutional neural networks, BMC Bioinformatics, July 2019
  • Tamura S, MiyaoT & 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
  • 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
  • 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.
  • 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.
  • Mohammad Bozlul Karim, Ming Huang, Naoaki Ono, Shigehiko KANAYA, Md.Altaf-Ul-Amin, “BiClusO: A novel biclustering approach and its application to species-VOC relational data”, IEEE TRANSACTIONS on COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, Jun. 2019

2018

  • Yonchev D, Vogt M, Stumpfe D, Kunimoto R, Miyao T & Bajorath J. , “Computational assessment of chemical saturation of analog series under varying conditions”, ACS Omega, vol.3, no.11, pp15799-15808, 20 Nov. 2018.
  • Miwa Ohnishi, Aya Anegawa, Yuko Sugiyama, Kazuo Harada, Akira Oikawa, Yasumune Nakayama, Fumio Matsuda, Yukiko Nakamura, Ryosuke Sasaki, Chizuko Shichijo, Patrick G. Hatcher, Hidehiro Fukaki, Shigehiko Kanaya*, Koh Aoki, Mami Yamazaki, Eiichiro Fukusaki, Kazuki Saito and Tetsuro Mimura, “Molecular Components of Arabidopsis Intact Vacuoles Clarified with Metabolomic and Proteomic Analyses”, Plant & Cell Physiology, vol.59, no.7, pp1353-1362, 12 Apr. 2018
  • Tetsuo Sato*, Satoshi Kamikawa, Subaru Nakayama, Nobuyasu Ichinose, Shigehide Kuhara, Shigehiko Kanaya*, Kotaro Minato and Cesar Nomura, “Motion Correction for Extracellular Volume Fraction Mapping in Cardiac MRI,” Advanced Biomedical Engineering, vol.7, pp82-87, Apr. 2018
  • Kang Liu, Aki H. Morita, Shigehiko Kanaya* and MD. ALTAF-UL-AMIN*, “Metabolite-Content-Guided Prediction of Medicinal/Edible Properties in Plants for Bioprospecting,” Current Research in Complementary & Alternative Medicine, ppCRCAM-130, Apr. 2018
  • Eguchi R, Karim MB, Hu P, Sato T, Ono N, Kanaya S, Altaf-Ul-Amin M.,BMC Bioinformatics., An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease, 19:264.pp1-16, (2018)
  • Satoshi WATANABE, Hoko KYO, KANG Liu, Ryohei EGUCHI, Md. Altaf-Ul-Amin, Aki MORITA(Hirai), Minako OHASHI, Naoaki ONO, Alex Ming HUANG, Yanbo ZHU, Qi WANG, Zhaoyu DAI, Yukiko NAKAMURA, Klaus W. LANGE, Kazuo UEBABA, Shintaro HASHIMOTO, Shigehiko KANAYA, Nobutaka SUZUKI, “Data Intensive Study of Accessibility of Edible Species and Healthcare Across the Globe”, Japanese Journal of Complementary and Alternative Medicine, 15,pp37-60(2018)
  • Tomoyuki Miyao, Jürgen Bajorath, “Exploring ensembles of bioactive or virtual analogs of X-ray ligands for shape similarity searching”,  Journal of Computer-Aided Molecular Design, 32, pp759-767, (2018).
  • Victor Andrew A. Antonio, Naoaki Ono, Akira Saito, Tetsuo Sato, Md. Altaf-Ul-Amin, Shigehiko Kanaya, “Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks“, International Journal of Computer Assisted Radiology and Surgery, 13, pp 1905–1913 (2018).

2017

  • 小野直亮、横山直己、黄銘、Md. Altaf-Ul-Amin、中本雅俊、太田大策, “Bayes ANOVAを用いたEuglena gracilisの代謝経路の網羅的発現変動解析”, Journal of Computer Aided Chemistry, 18, pp 110-116 (2017)

国際会議

2018

  • Yutaro Koyama, Kazushi Ikeda, Yuichi Sakumura, Feature Selection Using Distance from Classification Boundary and Monte Carlo Simulation, International Conference on Neural Information Processing (ICONIP) 2018, 13-16 Dec. 2018, Siem Reap, Cambodia.
  • Go Sasakawa, Yasuaki Ishikawa, Daisuke Kobayashi, Naoaki Ono, Yukiharu Uraoka, and Hideaki Adachi, “Reliability Evaluation of Solar Cells Based on EL Analysis Using Convolutional Neural Network”, 7th Korea-Japan Joint Seminar on PV, P-29, 16-17 Nov. 2018, Seoul, South Korea
  • Go Sasakawa, Yasuaki Ishikawa, Daisuke Kobayashi, Naoaki Ono, Yukiharu Uraoka, and Hideaki Adachi, “Detection of Defective Solar Cells Based on EL Analysis Using Convolutional Neural Network”, 3rd International Workshop on the Sustainable Actions for “Year by Year Aging” under Reliability Investigations in Photovoltaic Modules, P-01, 30-31 Oct. 2018, Tsukuba, Japan
  • Nobutaka Wakamatsu, Mohammad Bozlul Karim, Shigehiko Kanaya* and MD. ALTAF-UL-AMIN*, “A Network based approach to predict functions of metabolites,” International Conference of Molecular Genetics, Metabolomics & Integrative Biology, Feb. 2018

国内学会、研究会、シンポジウム

2019

  • 中村暢明、西村珠子、末次志郎、”The roles of I-BAR domain proteins on the secretion of Wnts on microvesicles.”42回日本分子生物学会年会、2019.12.5、福岡国際会議場(福岡県福岡市)
  • 高橋茉奈美、西村珠子、塙京子、末次志郎、”Domain-specific regulation of microvesicle secretion by a protrusion-producing I-BAR domain protein”, IRSp53、第42回日本分子生物学会年会、2019.12.5、福岡国際会議場(福岡県福岡市)
  • 上田結奈、塙京子、西村珠子、稲葉岳彦、末次志郎、”I-BAR facilitates transport from the cytoplasm to the outside of the cell”、第42回日本分子生物学会年会、2019.12.5、福岡国際会議場(福岡県福岡市)
  • 西村珠子、大山拓也、Hooi Ting Hu、塙京子、末次志郎、”Microvesicle formation through the scission of plasma membrane by the I-BAR protein MIM”、第42回日本分子生物学会年会、2019.12.5、福岡国際会議場(福岡県福岡市) 
  • 末次志郎、西村珠子、重根桂、日朝祐太、大竹義人、佐藤嘉伸、”The possible applications of the data science to cell biology by a cell biologist”、第42回日本分子生物学会年会、2019.12.5、福岡国際会議場(福岡県福岡市) 
  • Hooi Ting HuTamako NishimuraShiro Suetsugu, “The interaction between I-BAR domain proteins and ALIX in the formation and release of extracellular vesicles”, 42回日本分子生物学会年会、2019.12.4、福岡国際会議場(福岡県福岡市)
  • 重根桂、西村珠子、日朝祐太、大竹義人、佐藤嘉伸、末次志郎、”Attempt to description of cell morphology based on the protein localization using machine learning”、第42回日本分子生物学会年会、2019.12.3、福岡国際会議場(福岡県福岡市)
  • 末次志郎、”脂質膜組成によるBARドメインタンパク質の脂質膜変形活性の変換”、第92回日本生化学会大会、2019. 9. 19、パシフィコ横浜(神奈川県横浜市)
  • 稲葉岳彦、北又学、木田和輝、末次志郎、”脂質膜組成によるエンドサイトーシスに関するタンパク質の活性変換”、第61回日本脂質生化学会、2019.7.5、北海道大学学術交流会館(北海道札幌市)
  • Shiro Suetsugu, “The mode switch of endophilin membrane deformation based on packing-defects and electrostatic charge”, 60回国際脂質生物学会ICBL2019, 2019.6.18, 一橋大学学術総合センター(東京都千代田区)
  • Shiro Suetsugu, “ The membrane re-modeling by the BAR domain superfamily proteins dependent on the composition of lipids “ , 71回日本細胞生物学会大会, 2019. 6. 26, 神戸国際会議場(兵庫県神戸市)
  • 北又学、塙京子、丸山耕平、末次志郎、“ANKHD1の新規小胞形成能と初期エンドソームの形態制御への関与の同定”、第71回日本細胞生物学会大会, 2019. 6. 25, 神戸国際会議場(兵庫県神戸市)
  • 宮尾知幸, “ Application of turbo similarity searching to molecular shape-based virtual screening , JCUP X, 23-24 May(2019), 東京
  • 宮尾知幸, “化学構造生成器の開発と深層学習を利用した生成モデルについて”,「AIと有機合成化学」第4回公開講演会, 3 February(2020), 東京

2018

  • 宮尾知幸, “インフォマティクスを化学の問題解決に活用する, フロー・マイクロ合成研究会 第81回研究会, 8 Feb.(2019), 大阪
  • 国田勝行, “Information transmission of insulin signal transduction based on live-cell sensing and information theoretic approach, 第9回定量生物学の会年会, 13-14 Jan. (2019), 大阪
  • 中村哲, “奈良先端大におけるディープラーニング活用とデータ駆動型サイエンス創造の取り組み,” 電子情報通信学会北陸支部講演会, 24 Jan. (2019), 福井
  • 野島秀雄,“研究IRに基づいた研究戦略の策定と実行”, RA協議会第4回年次大会, 19-20 Sep.(2018). 神戸
  • 石河泰明, “計算科学の新展開:デバイス開発への利用”,第8回 化学フェスタ ケモインフォマティクスが拓く高機能新素材の時代,  J3-08, 25 Oct. (2018), 東京
  • 石河泰明, “シリコン太陽電池発電機能の屋外検査技術開発”,次世代の太陽光発電システム175 委員会 次世代シリコン太陽電池分科会&モジュール・システム分科会 合同研究会, 3 , 23 Oct. (2018), 東京
  • 中村哲, “データ駆動型サイエンスに向けて ーNAISTの試みー”, 滋賀大学データサイエンスフォーラム2018「日本の大学及び大学院におけるデータサイエンス教育の現状と展望」, 29-30 Nov.(2018). 滋賀
  • 宮尾知幸, 船津公人, “リガンドベースのヴァーチャルスクリーニングにおけるコンフォメーションの影響とアンサンブル効果について”, 第41回ケモインフォマティクス討論会, 1A06, 26-27 Oct. (2018), 熊本
  • 宮尾知幸, “データ解析に基づく分子設計支援への取り組み”, 日本化学会秋季事業 第8回CSJ化学フェスタ2018, 23-26 Oct. (2018), 東京
  • 森 浩禎, 田中 雄一郎, Jonathan Monk, 武藤 愛, “Missing link of E. coli metabolic network”, 第91回日本生化学会大会, 3S03m-08, 24-26 Sep. (2018), 京都