Rchr
J-GLOBAL ID：201301036864119951   Update date: Jun. 27, 2024

Matsumoto Shigeyuki

マツモト シゲユキ | Matsumoto Shigeyuki
Affiliation and department：
Kyoto University

About Kyoto University


Research field  (1)： Structural biochemistry
Research theme for competitive and other funds  (8)：
  • 2024 - 2027 フィロウイルスの増殖機構の分子構造基盤の解明と制御法の開発
  • 2024 - 2026 分子構造を基盤としたエボラウイルス治療薬の開発研究
  • 2022 - 2026 Extracting Activities of Protein-Compound Interactions from Dynamics Information Using a Deep Learning Technique
  • 2022 - 2025 Establishing a framework for cryoEM-NMR-combined structural analysis
  • 2023 - 2024 構造情報を基盤としたフィロウイルス治療薬の開発
Show all
Papers (31)：
  • Mai Suzuki, Ken Uchibori, Tomoko Oh-hara, Yumi Nomura, Ryusei Suzuki, Ai Takemoto, Mitsugu Araki, Shigeyuki Matsumoto, Yukari Sagae, Mutsuko Kukimoto-Niino, et al. A macrocyclic kinase inhibitor overcomes triple resistant mutations in EGFR-positive lung cancer. npj Precision Oncology. 2024
  • Takuto Koyama, Hayato Tsumura, Shigeyuki Matsumoto, Ryunosuke Okita, Ryosuke Kojima, Yasushi Okuno. ChemGLaM: Chemical-Genomics Language Models for Compound-Protein Interaction Prediction. 2024
  • Fumi Shima, Yoko Yoshikawa, Yoshiteru Makino, Hirokazu Kubota, Takashi Kawamura, Shigeyuki Matsumoto, Hitomi Yuki, Akira Shibaike, Megumi Okamura, Tomoyo Okada, et al. Small-molecule RAS/RAF Binding Inhibitors Allosterically Disrupt RAF Conformation and Exert Efficacy Against a Broad Spectrum of RAS-driven Cancers. 2024
  • Yoshinobu Igarashi, Ryosuke Kojima, Shigeyuki Matsumoto, Hiroaki Iwata, Yasushi Okuno, Hiroshi Yamada. Developing a GNN-based AI model to predict mitochondrial toxicity using the bagging method. The Journal of Toxicological Sciences. 2024. 49. 3. 117-126
  • Hiroaki Iwata, Taichi Nakai, Takuto Koyama, Shigeyuki Matsumoto, Ryosuke Kojima, Yasushi Okuno. VGAE-MCTS: A New Molecular Generative Model Combining the Variational Graph Auto-Encoder and Monte Carlo Tree Search. Journal of Chemical Information and Modeling. 2023
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MISC (6)：
  • Shigeyuki Matsumoto, Haruka Taniguchi-Tamura, Mitsugu Araki, Takashi Kawamura, Ryo Miyamoto, Chiemi Tsuda, Yasushi Okuno, Fumi Shima, Takashi Kumasaka, Tohru Kataoka. Novel Insights into the Structural Perturbation Induced by the Oncogenic Mutations, Q61L and Q61H, in Ras State 1. BIOPHYSICAL JOURNAL. 2020. 118. 3. 42A-42A
  • 佐伯茉帆, 槇野義輝, 松本篤幸, 河村高志, 南後恵理子, 熊坂崇, 島扶美. SACLA,SPring-8並びにNMRを用いた低分子量Gタンパク質RasのGTP加水分解過程における動的構造解析. 日本分子生物学会年会プログラム・要旨集(Web). 2020. 43rd
  • 宮口郁子, 鹿島亜季子, 佐藤美和, 中田一人, 馬彪, 松本篤幸, 徳久淳師, 大田雅照, 池口満徳. AI用学習データ作成のための高・低分解能の蛋白質結晶構造比較. 日本細胞生物学会大会(Web). 2019. 71st
  • 馬場剛史, 小甲裕一, 佐藤美和, 中川寛之, 宮口郁子, MA Biao, 松本篤幸, 徳久淳師, 大田雅照, 池口満徳, et al. Research on pocket prediction using 3D-CNN. 構造活性相関シンポジウム講演要旨集. 2019. 47th (CD-ROM)
  • 松本篤幸, 荒木望嗣, 井阪悠太, 奥野恭史, 奥野恭史. 分子動力学計算を用いたアルデヒド脱水素酵素2(ALDH2)非活性型変異体の動的立体構造特性の解析. 日本細胞生物学会大会(Web). 2019. 71st
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Patents (1)：
  • Ras/Raf結合阻害化合物
Books (5)：
  • 大規模MD計算によるCOVID-19治療薬探索
    北隆館 2023
  • クライオ電子顕微鏡計測データからタンパク質の柔らかさを推定するAIシステム「DEFMap」の開発
    エヌ・ティー・エヌ 2023 ISBN:9784860438043
  • AI・シミュレーションによる薬剤開発の迅速化
    羊土社 2022
  • rasがん遺伝子産物Rasを分子標的としたがん治療薬開発の現状
    2014
  • The Enzymes, Vol. 34, Inhibitors of the Ras superfamily G-proteins, Part B / Discovery of Small-Molecule Ras Inhibitors that Display Antitumor Activity by Interfering with Ras・GTP?Effector Interaction
    Elsevier Inc. 2013
Lectures and oral presentations  (14)：
  • Practical Evaluation of Protein-Compound Interactions with Computational Approaches
    (The 97th Annual Meeting of the Japanese Pharmacological Society 2023)
  • Iterative Data Augmentation of near boundary negative samples Compound-Protein Interaction Prediction
    (Intelligent Systems for Molecular Biology/European Conference on Computational Biology (ISMB/ECCB) 2023)
  • 生命科学におけるAI・シミュレーション・実験融合. メディカルAIコース
    (メディカルAI 2022)
  • Extracting protein dynamics from cryo-EM density maps by combining MD simulations and a machine learning technique.
    (2022)
  • Extracting protein dynamics from experimental cryo-EM maps using a machine learning technique combining with MD simulations.
    (2022)
ｍore...
Education (1)：
  • - 2009 大阪大学 大学院薬学研究科博士後期課程修了
Professional career (2)：
  • 修士(薬学) (大阪大学)
  • 博士(薬学) (大阪大学)
Awards (4)：
  • 2024/06 - Poster award ChemGLaM: Compound-Protein Interaction Prediction Using Large Language Models
  • 2022/10 - Best poster award Understanding Molecular Mechanism of Drug Off-Target Effect in Tyrosine-Protein Kinase LCK Using Molecular Dynamics Simulation
  • 2022/10 - Best poster award Estimation of Interaction Mechanism in Compound-Protein Interaction Prediction Using Interpretable Deep Learning
  • 2022/06 - Young Scientist Award Deep Learning Extracts Protein Dynamics Information from Cryo-EM map.
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