Rchr
J-GLOBAL ID:201801006061159734   Update date: Apr. 10, 2024

Mizuguchi Kenji

ミズグチ ケンジ | Mizuguchi Kenji
Affiliation and department:
Job title: Professor
Homepage URL  (1): https://mizuguchilab.org
Research field  (2): Systems genomics ,  Biological, health, and medical informatics
Research keywords  (10): drug design ,  network biology ,  omics ,  computational biology ,  disease biology ,  data integration ,  database ,  drug discovery ,  protein interaction ,  protein structure
Research theme for competitive and other funds  (22):
  • 2022 - 2025 静的局所環境の学習によるタンパク質動的構造情報の抽出
  • 2020 - 2023 International research project on nucleic acid aptamers and their exosome-based application to therapeutics for synucleinopathy
  • 2017 - 2020 Improved identification of drug targets by data warehousing and simulations of signal transduction pathways
  • 2017 - 2019 Drug discovery in breast cancer utilizing reactivation of tumor suppressors
  • 2016 - 2019 Clarification of novel pathophysiological roles of BIG3 in breast cancer cells
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Papers (180):
  • Hanako Yoshimura, Yoshito Takeda, Yuya Shirai, Makoto Yamamoto, Daisuke Nakatsubo, Saori Amiya, Takatoshi Enomoto, Reina Hara, Yuichi Adachi, Ryuya Edahiro, et al. Galectin-10 in serum extracellular vesicles reflects asthma pathophysiology. Journal of Allergy and Clinical Immunology. 2024
  • Uzma Saqib, Isaac S. Demaree, Alexander G. Obukhov, Mirza S. Baig, Mohd Shahnawaz Khan, Nojood Altwaijry, Mochammad Arfin Fardiansyah Nasution, Kenji Mizuguchi, Krishnan Hajela. Structural and accessibility studies highlight the differential binding of clemizole to TRPC5 and TRPC6. Journal of Biomolecular Structure and Dynamics. 2024
  • Mei Tomoto, Yohei Mineharu, Noriaki Sato, Yoshinori Tamada, Mari Nogami-Itoh, Masataka Kuroda, Jun Adachi, Yoshito Takeda, Kenji Mizuguchi, Atsushi Kumanogoh, et al. Idiopathic pulmonary fibrosis-specific Bayesian network integrating extracellular vesicle proteome and clinical information. Scientific Reports. 2024. 14. 1
  • Yulong Gou, Suyong Re, Kenji Mizuguchi, Chioko Nagao. Impact of Hydrogen Bonding on P-Glycoprotein Efflux Transport as Revealed by Evaluation of a De Novo Prediction Model. ACS Medicinal Chemistry Letters. 2023
  • Kyohei Koyama, Kosuke Hashimoto, Chioko Nagao, Kenji Mizuguchi. Attention network for predicting T-cell receptor-peptide binding can associate attention with interpretable protein structural properties. Frontiers in Bioinformatics. 2023. 3
more...
MISC (62):
  • Hiroshi Komura, Reiko Watanabe, Kenji Mizuguchi. The Trends and Future Prospective of In Silico Models from the Viewpoint of ADME Evaluation in Drug Discovery. Pharmaceutics. 2023. 15. 11. 2619-2619
  • MARTIN, 渡邉怜子, 水口賢司. ナノ粒子をより安全に 設計するための新手法 --ナノ粒子の安全性に革命を: AI が拓く未来. 化学. 2023. 78. 11. 27-30
  • 伊藤 眞里, 武田 吉人, 黒田 正孝, 荒牧 英治, 黒橋 禎夫, 武田 理宏, 梁川 雅弘, 富山 憲幸, 松村 泰志, 足立 淳, et al. 「新薬創出を加速する人工知能の開発」 IPF患者臨床データから創薬標的への知識処理. 日本呼吸器学会誌. 2023. 12. 増刊. 293-293
  • Yoichi Murakami, Kenji Mizuguchi. Recent developments of sequence-based prediction of protein-protein interactions. Biophysical reviews. 2022. 1-19
  • 伊藤 眞里, 黒田 正孝, 夏目 やよい, 武田 吉人, 武田 理宏, 松村 泰志, 黒橋 禎夫, 荒牧 英治, 北村 英也, 小倉 高志, et al. 「新薬創出を加速する人工知能の開発」 特発性肺線維症臨床情報収集と創薬標的探索手法の構築. 医療情報学連合大会論文集. 2022. 42回. 1067-1069
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Patents (3):
Books (17):
  • 健康と疾患を制御する精密栄養学 : 「何を、いつ、どう食べるか?」に、食品機能の解析と個人差を生む分子メカニズムの解明から迫る
    羊土社 2023 ISBN:9784758104111
  • ケモインフォマティクスにおけるデータ収集の最適化と解析手法
    技術情報協会 2023 ISBN:9784861049446
  • 革新的AI創薬 : 医療ビッグデータ、人工知能がもたらす創薬研究の未来像
    エヌ・ティー・エス 2022 ISBN:9784860437886
  • 創薬研究のための相互作用解析パーフェクト : 低中分子・抗体創薬におけるスクリーニング戦略と実例、in silico解析、一歩進んだ分析技術まで
    羊土社 2021 ISBN:9784758122566
  • Protein Interactions: Computational Methods, Analysis and Applications
    World Scientific 2020
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Lectures and oral presentations  (116):
  • ナノ粒子の安全性予測
    (The 144th Annual Meeting of the Pharmaceutical Society of Japan 2024)
  • Data integration and curation as a basis for Artificial Intelligence-based drug discovery
    (23rd Annual Conference of the Life Science Association of Chinese in Japan 2024)
  • AI創薬の基礎としてのデータベースと多面的モデリング
    (令和5年度 第2回 産学官連携情報交流セミナー 2023)
  • データ統合と多面的モデリングによるAI創薬
    (The 51st Annual Meeting of the Japanese Society of Clinical Immunology 2023)
  • DruMAP : a Novel Drug Metabolism and Pharmacokinetics Analysis Platform
    (2023 International Joint Meeting of the 23rd International Conference on Cytochrome P450 and the 38th Annual Meeting of the Japanese Society for the Study of Xenobiotics [2023 ICCP450/JSSX] 2023)
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Education (3):
  • 1992 - 1995 Kyoto University Department of Chemistry
  • 1990 - 1992 Kyoto University Department of Chemistry
  • 1986 - 1990 Kyoto University Faculty of Science
Professional career (1):
  • PhD (Kyoto University)
Work history (9):
  • 2019/10 - 現在 Institute for Protein Research, Osaka University Professor
  • 2019/07 - 2024/03 National Institutes of Biomedical Innovation, Health and Nutrition Artificial Intelligence Center for Health and Biomedical Research Director
  • 2013/05 - 2024/03 National Institutes of Biomedical Innovation, Health and Nutrition Laboratory of In silico design Research Group Head
  • 2006/10 - 2021/08 National Institutes of Biomedical Innovation, Health and Nutrition Laboratory of Bioinformatics Research Group Head
  • 2004/10 - 2006/09 University of Cambridge Department of Applied Mathematics and Theoretical Physics Lecturer
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Committee career (15):
  • 2021/04 - 現在 日本バイオインフォマティクス学会 幹事、第11回生命医薬情報学連合大会(IIBMP2022)大会長
  • 2020/04 - 現在 日本学術振興会 R022 量子構造生物学委員会 学会委員
  • 2019/04 - 現在 日本メディカルAI学会 評議員
  • 2017 - 現在 ライフ インテリジェンス コンソーシアム(LINC) 副代表
  • 2014/04 - 現在 Chem-Bio Informatics Society Board member
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Awards (3):
  • 2020/02 - Japan Open Innovation Prize(JOIP)
  • 2000/06 - Wellcome Trust Research Career Development Fellowship
  • 1996/10 - HFSP (Human Frontier Science Program) Long-Term fellowship
Association Membership(s) (4):
情報計算化学生物学会(CBI学会) ,  日本メディカルAI学会 ,  日本バイオインフォマティクス学会 ,  日本生物物理学会
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