Ohue Masahito

オオウエマサヒト | Ohue Masahito

Affiliation and department：
Job title： Associate Professor
Homepage URL (2)： http://www.li.c.titech.ac.jp , http://goo.gl/Y4LG1

Research field (2)： Biophysics , Biological, health, and medical informatics

Research keywords (5)： High-Performance Computing , Chemoinformatics , Computational Biology , Protein-Protein Interaction , Bioinformatics

Research theme for competitive and other funds (17)：

2023 - 2028 天然物が織り成す化合物潜在空間が拓く生物活性分子デザイン
2023 - 2028 Latent Chemical Space for Beyond Rule-of-Five Compounds
2022 - 2028 マルチモダリティ創薬を拓くインフォマティクス基盤
2023 - 2026 Functional analysis of slit diaphragm associated protein, MAGI-2, and development of a novel CKD therapeutic agent
2023 - 2026 Development of a Protein-Cyclic Peptide Complex Structure Database and Advanced Molecular Design Approaches

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Papers (81)：

Wenxing Hu, Masahito Ohue. SpatialPPI: Three-dimensional space protein-protein interaction prediction with AlphaFold Multimer. Computational and structural biotechnology journal. 2024. 23. 1214-1225
Taisuke Boku, Masatake Sugita, Ryohei Kobayashi, Shinnosuke Furuya, Takuya Fujie, Masahito Ohue, Yutaka Akiyama. Improving Performance on Replica-Exchange Molecular Dynamics Simulations by Optimizing GPU Core Utilization. ACM International Conference Proceeding Series. 2024. 1082-1091
Kairi Furui, Masahito Ohue. Fastlomap: faster lead optimization mapper algorithm for large-scale relative free energy perturbation. Journal of Supercomputing. 2024. 80. 10. 14417-14432
Masahito Ohue, Kotoyu Sasayama, Masami Takata. Mathematical modeling and problem solving: from fundamentals to applications. Journal of Supercomputing. 2024. 80. 10. 14116-14119
Takafumi Ueki, Masahito Ohue. Antibody complementarity-determining region design using AlphaFold2 and DDG predictor. Journal of Supercomputing. 2024. 80. 9. 11989-12002

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MISC (63)：

大上雅史. AlphaFoldによる高精度なタンパク質立体構造予測と創薬への活用-特集タンパク質立体構造に基づく創薬と人工知能技術の活用. Pharm stage / 技術情報協会編. 2023. 23. 8. 24-28
大上雅史. AIによって変わる生命科学-特集科学の新たなパラダイム? AIで変わる科学の方法. 現代化学 = Chemistry today. 2023. 629. 28-30
大上雅史. 続・生物工学基礎講座バイオよもやま話 AlphaFoldによるタンパク質立体構造予測(実践編). 生物工学会誌 / 日本生物工学会編. 2023. 101. 8. 443-446
大上雅史. AlphaFold2の登場と創薬への影響. 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. 2022. -. 164-175
井澤和也, 井澤和也, 柳澤渓甫, 柳澤渓甫, 大上雅史, 大上雅史, 秋山泰, 秋山泰. Antisense oligonucleotide activity analysis based on opening and binding energies to targets. 情報処理学会研究報告(Web). 2021. 2021. MPS-134

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Patents (7)：

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Books (3)：

学振申請書の書き方とコツ第二版 : DC/PD獲得を目指す若者へ
講談社 2021 ISBN:9784065231074
学振申請書の書き方とコツ : DC/PD獲得を目指す若者へ
講談社 2016 ISBN:9784061531604
これだけ!生化学
秀和システム 2014 ISBN:9784798042268

Lectures and oral presentations (11)：

Highly precise protein-protein interaction prediction by integrating template-based and template-free protein docking
(The 2013 Annual Conference of the Japanese Society for Bioinformatics (JSBi2013) 2013)
The MEGADOCK project: Ultra-high-performance protein-protein interaction prediction tools on supercomputing environments
(ACM Conference on Bioinformatics, Computatioal Biology and Biomedical Informatics (ACM-BCB2013) 2013)
MEGADOCK-GPU: Acceleration of Protein-Protein Docking Calculation on GPUs
(ACM Conference on Bioinformatics, Computational Biology and Biomedicine 2013 (ACM-BCB 2013), 2nd International Workshop on Parallel and Cloud-based Bioinformatics and Biomedicine (ParBio2013) 2013)
Highly Precise Protein-Protein Interaction Prediction Based on Consensus Between Template-Based and de Novo Docking Methods
(Great Lakes Bioinformatics Conference 2013 2013)
Protein-protein interaction prediction based on rigid-body docking with ultra-high-performance computing technique: applications to affinity prediction on CAPRI round 21 and interactome analyses
(CAPRI 2013 5th Evaluation Meeting 2013)

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Education (4)：

2011 - 2014 Tokyo Institute of Technology Grad. School of Info. Sci. and Eng. Dept. of Computer Sci., Doctor's course
2009 - 2011 Tokyo Institute of Technology Grad. School of Info. Sci. and Eng. Dept. of Computer Sci., Master's course
2007 - 2009 Tokyo Institute of Technology Fac. of Engineering Dept. of Computer Sci.
2002 - 2007 Ishikawa National College of Technology Dept. of Electronics and Information Eng.

Professional career (1)：

博士(工学) (東京工業大学)

Work history (7)：

2024/01 - 現在 Tokyo Institute of Technology Department of Computer Science, School of Computing Associate Professor
2016/04 - 2023/12 Tokyo Institute of Technology School of Computing Assistant Professor
2016/04 - 2020/03 Tokyo Institute of Technology Advanced Computational Drug Discovery Unit, Institute of Innovative Research
2015/04 - 2016/03 Tokyo Institute of Technology Graduate School of Information Science and Engineering Assistant Professor
2014/04 - 2015/03 Tokyo Institute of Technology Research Fellow

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Committee career (10)：

2021/04 - 現在一般社団法人情報処理学会論文誌TBIO編集委員会副編集長
2020/03 - 現在特定非営利活動法人日本バイオインフォマティクス学会幹事
2020/03 - 現在特定非営利活動法人日本バイオインフォマティクス学会理事
2019/04 - 現在特定非営利活動法人並列生物情報処理イニシアティブ理事
2017/04 - 現在一般社団法人情報処理学会バイオ情報学研究会運営委員

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Awards (17)：

2024/03 - 一般社団法人情報処理学会マイクロソフト情報学研究賞
2023/10 - 特定非営利活動法人CBI学会 CBI学会若手奨励賞
2022/06 - 一般財団法人安藤研究所第35回安藤博記念学術奨励賞
2022/03 - 一般社団法人情報処理学会 2021年度(令和3年度)山下記念研究賞
2021/04 - 一般社団法人情報処理学会バイオ情報学研究会優秀プレゼンテーション賞

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Association Membership(s) (7)：

THE BIOPHYSICAL SOCIETY OF JAPAN , 生命情報科学若手の会 , THE DATABASE SOCIETY OF JAPAN , PROTEIN SCIENCE SOCIETY OF JAPAN , THE JAPANESE SOCIETY FOR BIOINFORMATICS , INFORMATION PROCESSING SOCIETY OF JAPAN , INTERNATIONAL SOCIETY FOR COMPUTATIONAL BIOLOGY

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