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 (69)：

Masahito Ohue, Yuki Kojima, Takatsugu Kosugi. Generating Potential Protein-Protein Interaction Inhibitor Molecules Based on Physicochemical Properties. Molecules (Basel, Switzerland). 2023. 28. 15
Jianan Li, Keisuke Yanagisawa, Masatake Sugita, Takuya Fujie, Masahito Ohue, Yutaka Akiyama. CycPeptMPDB: A Comprehensive Database of Membrane Permeability of Cyclic Peptides. Journal of chemical information and modeling. 2023. 63. 7. 2240-2250
Jessica Andreani, Brian Jiménez-García, Masahito Ohue. Editorial: Web tools for modeling and analysis of biomolecular interactions Volume II. Frontiers in molecular biosciences. 2023. 10. 1190855-1190855
Masatake Sugita, Takuya Fujie, Keisuke Yanagisawa, Masahito Ohue, Yutaka Akiyama. Lipid Composition Is Critical for Accurate Membrane Permeability Prediction of Cyclic Peptides by Molecular Dynamics Simulations. Journal of chemical information and modeling. 2022. 62. 18. 4549-4560
Keisuke Yanagisawa, Rikuto Kubota, Yasushi Yoshikawa, Masahito Ohue, Yutaka Akiyama. Effective Protein-Ligand Docking Strategy via Fragment Reuse and a Proof-of-Concept Implementation. ACS omega. 2022. 7. 34. 30265-30274

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MISC (60)：

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
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
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. Inhibitory Activity Model of Antisense Oligonucleotide Based on Estimation of Binding and Opening Energies to Target Sequences. 情報処理学会研究報告(Web). 2021. 2021. BIO-65
大上雅史. 構造情報に基づくタンパク質間相互作用の計算予測. ファインケミカル. 2020. 10月号. 25-31
高畠和輝, 伊澤和輝, 秋川元宏, 大上雅史, 秋山泰. Improvement of homology search for metagenomic analysis by two-step seed search with reduced amino acid alphabet. 情報処理学会研究報告(Web). 2020. 2020. BIO-61

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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 (16)：

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
2020/10 - 日本バイオインフォマティクス学会 Oxford Journals - JSBi Prize

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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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