Rchr
J-GLOBAL ID：202101014211741613
Update date: Mar. 08, 2024
Hayashi Shuto
ハヤシ シュウト | Hayashi Shuto
Affiliation and department：
Job title：
Associate Professor
Homepage URL (1)：
http://www.shimamlab.info/
Research field (2)：
Biological, health, and medical informatics
, Systems genomics
Research keywords (3)：
Bioinformatics
, Deep Learning
, Bayesian Statistics
Research theme for competitive and other funds (3)：
- 2022 - 2027 深層学習を用いた高速タンパク質構造サンプリング手法の開発
- 2023 - 2025 マウス発生休止胚において、再発生能の有無を予測する技術と付与する技術の創出
- 2022 - 2025 Development of a fast molecular dynamics simulation method using deep learning
Papers (16)：
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Yasuhiro Kojima, Shinji Mii, Shuto Hayashi, Haruka Hirose, Masato Ishikawa, Masashi Akiyama, Atsushi Enomoto, Teppei Shimamura. Single-cell colocalization analysis using a deep generative model. Cell Systems. 2024. 15. 2. 180-192.e7
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Yuta Kobayashi, Atsushi Niida, Satoshi Nagayama, Koichi Saeki, Hiroshi Haeno, Kazuki K. Takahashi, Shuto Hayashi, Yuki Ozato, Hideyuki Saito, Takanori Hasegawa, et al. Subclonal accumulation of immune escape mechanisms in microsatellite instability-high colorectal cancers. British Journal of Cancer. 2023. 129. 7. 1105-1118
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Jun Koseki, Shuto Hayashi, Yasuhiro Kojima, Haruka Hirose, Teppei Shimamura. Topological data analysis of protein structure and inter/intra- molecular interaction changes attributable to amino acid mutations. Computational and Structural Biotechnology Journal. 2023. 21. 2950-2959
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Yuki Ozato, Yasuhiro Kojima, Yuta Kobayashi, Yuuichi Hisamatsu, Takeo Toshima, Yusuke Yonemura, Takaaki Masuda, Kouichi Kagawa, Yasuhiro Goto, Mitsuaki Utou, et al. Spatial and single-cell transcriptomics decipher the cellular environment containing HLA-G+ cancer cells and SPP1+ macrophages in colorectal cancer. Cell Reports. 2023. 42. 1. 111929-111929
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Shuto Hayashi, Jun Koseki, Teppei Shimamura. Bayesian statistical method for detecting structural and topological diversity in polymorphic proteins. Computational and Structural Biotechnology Journal. 2022. 20. 6519-6525
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MISC (29)：
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小関準, 小嶋泰弘, 林周斗, 廣瀬遥香, NAM Hyunha, 島村徹平. Topological data analysis for protein structural changes caused by some mutations. 分子科学討論会講演プログラム&要旨(Web). 2021. 15th
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Matthew H. Bailey, William U. Meyerson, Lewis Jonathan Dursi, Liang-Bo Wang, Guanlan Dong, Wen-Wei Liang, Amila Weerasinghe, Shantao Li, Yize Li, Sean Kelso, M, et al. Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples. Nature Communications. 2020. 11. 1. 4748-4748
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Constance H. Li, Stephenie D, Prokopec, Ren X. Sun, Fouad Yousif, Nathaniel Schmitz, PCAWG Tumour Subtypes Clinical Translation, Paul C. Boutros, PCAWG Consortium. Sex differences in oncogenic mutational processes. Nature Communications. 2020. 11. 1. 4330-4330
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橋本 至, 加藤 洋人, 林 周斗, 河村 大輔, 大島 貴, 利野 靖, 益田 宗孝, 石川 俊平. 凍結臨床試料を用いたシングルセルRNA-seq法の確立. 日本衛生学雑誌. 2020. 75. Suppl. S187-S187
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古谷 弦太, 加藤 洋人, 林 周斗, 河村 大輔, 石川 俊平. ヒト胃癌環境における主要な抗体クローンとして同定された抗硫酸化グリコサミノグリカン抗体の解析. 日本衛生学雑誌. 2020. 75. Suppl. S202-S202
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Books (2)：
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Analyzing Antibody Repertoire Using Next-Generation Sequencing and Machine Learning.
Humana 2022
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論文図表を読む作法 : はじめて出会う実験&解析法も正しく解釈! : 生命科学・医学論文をスラスラ読むためのFigure事典
羊土社 2022 ISBN:9784758122603
Lectures and oral presentations (8)：
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Deep learning-based approach for accelerating molecular dynamics simulation
(2023)
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Acceleration of molecular dynamics simulation using deep learning
(The 31st Annual Intelligent Systems for Molecular Biology and the 22nd Annual European Conference on Computational Biology 2023)
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Comprehensive analysis of structural diversity in human B cell repertoire
(2021)
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分子動力学を用いた抗体構造ランドスケープ解析
(第5回 理論免疫学ワークショップ 2021)
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ヒト抗体における網羅的構造多様性解析
(第9回 生命医薬情報学連合大会 2020)
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Education (3)：
- 2016 - 2019 The University of Tokyo The Graduate School of Information Science and Technology Department of Computer Science Doctoral Course
- 2014 - 2016 The University of Tokyo The Graduate School of Information Science and Technology Department of Computer Science Master Course
- 2010 - 2014 The University of Tokyo Faculty of Science Department of Information Science
Professional career (1)：
Work history (4)：
- 2023/04 - 現在 Tokyo Medical and Dental University Department of Computational and Systems Biology, Medical Research Institute Associate Professor
- 2023/01 - 2023/04 Tokyo Medical and Dental University Department of Computational and Systems Biology, Medical Research Institute Project Associate Professor
- 2021/04 - 2022/12 Nagoya University Division of Systems Biology, Graduate School of Medicine Designated Associate Professor
- 2019/04 - 2021/03 The University of Tokyo Department of Preventive Medicine, Graduate School of Medicine Research Associate
Association Membership(s) (3)：
日本バイオインフォマティクス学会
, International Society for Computational Biology
, The Japanese Society for Hygiene
