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Hayashi Shuto  林 周斗

ORCIDConnect your ORCID iD *help
Researcher Number 30902332
Other IDs
Affiliation (Current) 2026: 東京科学大学, 総合研究院, 准教授
Affiliation (based on the past Project Information) *help 2024 – 2026: 東京科学大学, 総合研究院, 准教授
2023: 東京医科歯科大学, 難治疾患研究所, 准教授
2022: 東京医科歯科大学, 難治疾患研究所, プロジェクト准教授
Review Section/Research Field
Principal Investigator
Basic Section 62010:Life, health and medical informatics-related / Transformative Research Areas, Section (III) / Transformative Research Areas, Section (II)
Except Principal Investigator
Medium-sized Section 90:Biomedical engineering and related fields / Medium-sized Section 48:Biomedical structure and function and related fields
Keywords
Principal Investigator
バッチベイズ最適化 / 多目的ベイズ最適化 / マルチモーダル深層学習 / DBTLサイクル / 分子設計 / マルチモーダルAI / 深層アンサンブル / 多目的バッチベイズ最適化 / 機械学習 / タンパク質 / 分子動力学シミュレーション / 深層学習 … More
Except Principal Investigator
… More mRNA送達システム / タンパク質間相互作用 / 深層学習 / 進化分子工学 / mRNA医薬 / 生殖補助医療技術 / 不妊治療 / 子宮 / 着床 / 発生休止 Less
  • Research Projects

    (6 results)
  • Research Products

    (38 results)
  • Co-Researchers

    (3 People)
  •  幾何学的深層学習を用いたタンパク質動力学基盤モデルの開発Principal Investigator

    • Principal Investigator
      林 周斗
    • Project Period (FY)
      2026 – 2028
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 62010:Life, health and medical informatics-related
    • Research Institution
      Institute of Science Tokyo
  •  生体内分子輸送を自在に制御するペプチド設計AIの開発Principal Investigator

    • Principal Investigator
      林 周斗
    • Project Period (FY)
      2026 – 2028
    • Research Category
      Grant-in-Aid for Transformative Research Areas (B)
    • Review Section
      Transformative Research Areas, Section (III)
    • Research Institution
      Institute of Science Tokyo
  •  Combination of mRNA therapeutics, directed evolution, and deep learning for targeting protein-protein interaction

    • Principal Investigator
      内田 智士
    • Project Period (FY)
      2025 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 90:Biomedical engineering and related fields
    • Research Institution
      Institute of Science Tokyo
  •  Accelerating molecular design through multimodal deep ensembles and multi-objective batch Bayesian optimizationPrincipal Investigator

    • Principal Investigator
      林 周斗
    • Project Period (FY)
      2024 – 2025
    • Research Category
      Grant-in-Aid for Transformative Research Areas (A)
    • Review Section
      Transformative Research Areas, Section (II)
    • Research Institution
      Institute of Science Tokyo
  •  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

    • Principal Investigator
      高岡 勝吉
    • Project Period (FY)
      2023 – 2024
    • Research Category
      Grant-in-Aid for Challenging Research (Exploratory)
    • Review Section
      Medium-sized Section 48:Biomedical structure and function and related fields
    • Research Institution
      The University of Tokushima
  •  Development of a fast molecular dynamics simulation method using deep learningPrincipal Investigator

    • Principal Investigator
      Hayashi Shuto
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 62010:Life, health and medical informatics-related
    • Research Institution
      Institute of Science Tokyo
      Tokyo Medical and Dental University

All 2025 2024 2023 2022

All Journal Article Presentation Book

  • [Book] ベイズ最適化の活用事例 材料探索/物性予測/配合・プロセス条件の最適化、多目的バッチベイズ最適化によるタンパク質設計2025

    • Author(s)
      林 周斗
    • Total Pages
      424
    • Publisher
      技術情報協会
    • ISBN
      9784867980668
    • Data Source
      KAKENHI-PUBLICLY-24H01756
  • [Journal Article] Topological data analysis of protein structure and inter/intra-molecular interaction changes attributable to amino acid mutations2023

    • Author(s)
      Koseki Jun、Hayashi Shuto、Kojima Yasuhiro、Hirose Haruka、Shimamura Teppei
    • Journal Title

      Computational and Structural Biotechnology Journal

      Volume: 21 Pages: 2950-2959

    • DOI

      10.1016/j.csbj.2023.05.009

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K17993, KAKENHI-PLANNED-23H04938, KAKENHI-PROJECT-22H04925, KAKENHI-PROJECT-23K24941, KAKENHI-ORGANIZER-23H04927
  • [Journal Article] Bayesian statistical method for detecting structural and topological diversity in polymorphic proteins2022

    • Author(s)
      Hayashi Shuto、Koseki Jun、Shimamura Teppei
    • Journal Title

      Computational and Structural Biotechnology Journal

      Volume: 20 Pages: 6519-6525

    • DOI

      10.1016/j.csbj.2022.11.038

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K17993, KAKENHI-PROJECT-22H04925, KAKENHI-PROJECT-20H04281, KAKENHI-PROJECT-20K21832, KAKENHI-PUBLICLY-22H04839, KAKENHI-PROJECT-23K24941
  • [Presentation] 自律型DBTLサイクルによる次世代タンパク質設計2025

    • Author(s)
      林 周斗
    • Organizer
      産業技術総合研究所 細胞分子工学研究部門部門セミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] 自律型DBTLサイクルによる次世代タンパク質設計2025

    • Author(s)
      林 周斗
    • Organizer
      産業技術総合研究所 細胞分子工学研究部門部門セミナー
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-24H01756
  • [Presentation] AIとロボティクスの融合による次世代タンパク質設計2025

    • Author(s)
      林 周斗、小関 準、島村 徹平
    • Organizer
      日本薬学会第145年会
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-24H01756
  • [Presentation] AIとロボティクスの融合による次世代タンパク質設計2025

    • Author(s)
      林 周斗、小関 準、島村 徹平
    • Organizer
      日本薬学会第145年会
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] A dirichlet diffusion model for generation of high-quality antimicrobial peptide sequences2024

    • Author(s)
      Koichi Oki、Shuto Hayashi、Jun Koseki、Teppei Shimamura
    • Organizer
      The 23rd European Conference on Computational Biology
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] Deep learning-based design of receptor selective cell-penetrating peptides2024

    • Author(s)
      Iori Yamahata、Shuto Hayashi、Jun Koseki、Teppei Shimamura
    • Organizer
      The 1st Asia & Pacific Bioinformatics Joint Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] A dirichlet diffusion model for generation of high-quality antimicrobial peptide sequences2024

    • Author(s)
      Koichi Oki、Shuto Hayashi、Jun Koseki、Teppei Shimamura
    • Organizer
      The 23rd European Conference on Computational Biology
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-24H01756
  • [Presentation] A dirichlet diffusion model for generation of high-quality antimicrobial peptide sequences2024

    • Author(s)
      Koichi Oki、Shuto Hayashi、Jun Koseki、Teppei Shimamura
    • Organizer
      The 1st Asia & Pacific Bioinformatics Joint Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] A framework for enhanced de novo protein design using deep learning and Bayesian optimization2024

    • Author(s)
      Shuto Hayashi S、Jun Koseki J、Teppei Shimamura
    • Organizer
      CBI学会2024年大会
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] Molecular Dynamics Meets Deep Learning: A New Era of Efficient Simulations2024

    • Author(s)
      林 周斗
    • Organizer
      「富岳」成果創出加速プログラム課題 生体分子シミュレータを基にした大規模推論システムの開発と応用 マンスリーセミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] De novo protein design through integration of deep learning and DBTL cycles2024

    • Author(s)
      Shuto Hayashi、Jun Koseki、Teppei Shimamura
    • Organizer
      The 1st Asia & Pacific Bioinformatics Joint Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-24H01756
  • [Presentation] In silico DBTL cycle platform to design highly functional de novo proteins2024

    • Author(s)
      Shuto Hayashi、Jun Koseki、Teppei Shimamura
    • Organizer
      The 23rd European Conference on Computational Biology
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-24H01756
  • [Presentation] 生成AIとロボットの協働による次世代タンパク質設計2024

    • Author(s)
      林 周斗
    • Organizer
      データサイエンスと生命医科学研究のフロンティア
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-24H01756
  • [Presentation] AIとロボティクスが拓くタンパク質設計の新時代2024

    • Author(s)
      林 周斗
    • Organizer
      生命情報科学若手の会 第15回セミナー
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-24H01756
  • [Presentation] Design of Receptor Selective Cell-Penetrating Peptides Using Deep Learning and Simulations2024

    • Author(s)
      Iori Yamahata、Shuto Hayashi、Jun Koseki、Teppei Shimamura
    • Organizer
      CBI学会2024年大会
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] 生成AIとロボットの協働による次世代タンパク質設計2024

    • Author(s)
      林 周斗
    • Organizer
      データサイエンスと生命医科学研究のフロンティア
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] AIとロボティクスが拓くタンパク質設計の新時代2024

    • Author(s)
      林 周斗
    • Organizer
      生命情報科学若手の会 第15回セミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] AIとロボットによるde novoタンパク質設計の完全自動化2024

    • Author(s)
      林 周斗
    • Organizer
      多細胞休止を研究する会
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] A Dirichlet diffusion model for generation of high-quality antimicrobial peptide sequences2024

    • Author(s)
      Koichi Oki、Shuto Hayashi、Jun Koseki、Teppei Shimamura
    • Organizer
      CBI学会2024年大会
    • Data Source
      KAKENHI-PUBLICLY-24H01756
  • [Presentation] Deep learning-based design of cell-penetrating peptides with high cell selectivity2024

    • Author(s)
      Iori Yamahata、Shuto Hayashi、Jun Koseki、Teppei Shimamura
    • Organizer
      The 23rd European Conference on Computational Biology
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-24H01756
  • [Presentation] DBTLサイクルによる高機能分子設計2024

    • Author(s)
      林 周斗
    • Organizer
      学術変革領域研究(A) 潜在空間分子設計 第2回公開シンポジウム
    • Data Source
      KAKENHI-PUBLICLY-24H01756
  • [Presentation] AIとロボットによるタンパク質の完全自動設計2024

    • Author(s)
      林 周斗
    • Organizer
      Laboratory Automation月例勉強会 / 2024.06
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] In silico DBTL cycle platform to design highly functional de novo proteins2024

    • Author(s)
      Shuto Hayashi S、Jun Koseki J、Teppei Shimamura
    • Organizer
      The 23rd European Conference on Computational Biology
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] AIとロボットによるタンパク質の完全自動設計2024

    • Author(s)
      林 周斗
    • Organizer
      Laboratory Automation月例勉強会 / 2024.06
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-24H01756
  • [Presentation] Deep learning-based design of receptor selective cell-penetrating peptides2024

    • Author(s)
      Iori Yamahata、Shuto Hayashi、Jun Koseki、Teppei Shimamura
    • Organizer
      The 1st Asia & Pacific Bioinformatics Joint Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-24H01756
  • [Presentation] AIとロボットによる自律駆動型タンパク質設計2024

    • Author(s)
      林 周斗
    • Organizer
      第1回IPABセミナー「創薬情報研究の最前線」
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-24H01756
  • [Presentation] Deep learning-based design of cell-penetrating peptides with high cell selectivity2024

    • Author(s)
      Iori Yamahata、Shuto Hayashi、Jun Koseki、Teppei Shimamura
    • Organizer
      The 23rd European Conference on Computational Biology
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] De novo protein design through integration of deep learning and DBTL cycles2024

    • Author(s)
      Shuto Hayashi S、Jun Koseki J、Teppei Shimamura
    • Organizer
      The 1st Asia & Pacific Bioinformatics Joint Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] A Dirichlet diffusion model for generation of high-quality antimicrobial peptide sequences2024

    • Author(s)
      Koichi Oki、Shuto Hayashi、Jun Koseki、Teppei Shimamura
    • Organizer
      CBI学会2024年大会
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] AIとロボットによる自律駆動型タンパク質設計2024

    • Author(s)
      林 周斗
    • Organizer
      第1回IPABセミナー「創薬情報研究の最前線」
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] Design of Receptor Selective Cell-Penetrating Peptides Using Deep Learning and Simulations2024

    • Author(s)
      Iori Yamahata、Shuto Hayashi、Jun Koseki、Teppei Shimamura
    • Organizer
      CBI学会2024年大会
    • Data Source
      KAKENHI-PUBLICLY-24H01756
  • [Presentation] A dirichlet diffusion model for generation of high-quality antimicrobial peptide sequences2024

    • Author(s)
      Koichi Oki、Shuto Hayashi、Jun Koseki、Teppei Shimamura
    • Organizer
      The 1st Asia & Pacific Bioinformatics Joint Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-24H01756
  • [Presentation] A framework for enhanced de novo protein design using deep learning and Bayesian optimization2024

    • Author(s)
      Shuto Hayashi、Jun Koseki、Teppei Shimamura
    • Organizer
      CBI学会2024年大会
    • Data Source
      KAKENHI-PUBLICLY-24H01756
  • [Presentation] 分子動力学シミュレーション高速化のための深層学習手法2023

    • Author(s)
      林 周斗
    • Organizer
      第12回生命医薬情報学連合大会
    • Data Source
      KAKENHI-PROJECT-22K17993
  • [Presentation] Acceleration of molecular dynamics simulation using deep learning2023

    • Author(s)
      Shuto Hayashi
    • Organizer
      The 31st Annual Intelligent Systems for Molecular Biology and the 22nd Annual European Conference on Computational Biology
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17993
  • 1.  高岡 勝吉 (90551044)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 2.  内田 智士 (20710726)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  藤島 皓介 (00776411)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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