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Tsuda Kouji  津田 宏治

ORCIDConnect your ORCID iD *help
… Alternative Names

TSUDA Koji  津田 宏治

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Researcher Number 90357517
Other IDs
External Links
Affiliation (Current) 2025: 東京大学, 大学院新領域創成科学研究科, 教授
2025: 国立研究開発法人理化学研究所, 革新知能統合研究センター, チームディレクター
Affiliation (based on the past Project Information) *help 2015 – 2023: 東京大学, 大学院新領域創成科学研究科, 教授
2017: 東京大学, 新領域創成科学研究科, 教授
2014 – 2015: 東京大学, 新領域創成科学研究科, 教授
2014: 東京大学, 大学院新領域創成科学研究科・情報生命科学専攻, 教授
2013: 独立行政法人産業技術総合研究所, その他部局等, 研究員 … More
2012: 産業技術総合研究所, 生命情報工学研究センター, 主任研究員
2010 – 2012: 独立行政法人産業技術総合研究所, 生命情報工学研究センター, 主任研究員
2009: National Institute of Advanced Industrial Science and Technology, 生命情報工学研究センター, 研究員 Less
Review Section/Research Field
Principal Investigator
Science and Engineering / Bioinformatics/Life informatics
Except Principal Investigator
Science and Engineering / Medium-sized Section 61:Human informatics and related fields / Medium-sized Section 27:Chemical engineering and related fields / Intelligent informatics / Intelligent informatics / Life / Health / Medical informatics / Bioinformatics/Life informatics / Sensitivity informatics/Soft computing
Keywords
Principal Investigator
機械学習 / マテリアルズインフォマティクス / 生理活性 / 生体分子
Except Principal Investigator
機械学習 / ナノ構造情報 / 材料設計・創出 / インフォマティクス / ナノ材料科学 / 人工知能 … More / ゲノム / タンパク質 / 医療情報学 / 統計的推測 / 教師なし学習 / 生命科学 / 選択的推論 / 統計科学 / 統計的仮説検定 / データサイエンス / 抗体 / 進化分子工学 / インフォマティックス / 網羅的解析 / グラフアルゴリズム / BDD / 索引化 / 演算処理系 / データ構造 / ZDD / 列挙アルゴリズム / 二分決定グラフ / 離散構造処理系 / 列挙 / 最適化 / グラフ理論 / 大規模データ処理 / 組合せ集合 / 論理関数 / アルゴリズム / 離散構造 / プロテオーム / 生体生命情報学 / グラフマイニング / 知識発見とデータマイニング / 配列検索 / データベース検索 / 暗号 / 化合物 / プライバシー / 準同型暗号 / 配列アラインメント / PPDM / 隠れマルコフモデル / アラインメント / 化合物検索 / プライバシー保護 / データマイニング / 第一原理計算 / データベース / 低分子化合物 / 低分子医薬品 / 機能部位 / 基質結合部位 / 確率的情報処理 / 情報統計力学 / 統計数学 / 数理工学 Less
  • Research Projects

    (12 results)
  • Research Products

    (47 results)
  • Co-Researchers

    (49 People)
  •  Evolutionary Molecular Engineering Guided by Machine Learning: Smart Maturation Process for Cancer Therapeutic Antibodies

    • Principal Investigator
      Umetsu Mitsuo
    • Project Period (FY)
      2020 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 27:Chemical engineering and related fields
    • Research Institution
      Tohoku University
  •  探索的分析によるデータ駆動型仮説の信頼性評価法の確立と生命科学分野における実証

    • Principal Investigator
      竹内 一郎
    • Project Period (FY)
      2020 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 61:Human informatics and related fields
    • Research Institution
      Nagoya University
      Nagoya Institute of Technology
  •  Development of machine learning methods for materials informaticsPrincipal Investigator

    • Principal Investigator
      Tsuda Koji
    • Project Period (FY)
      2016 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Science and Engineering
    • Research Institution
      The University of Tokyo
  •  Research on Fundamental Algorithms of Discrete Structure Manipulation Systems

    • Principal Investigator
      MINATO Shin-ichi
    • Project Period (FY)
      2015 – 2019
    • Research Category
      Grant-in-Aid for Scientific Research (S)
    • Research Field
      Intelligent informatics
    • Research Institution
      Kyoto University
      Hokkaido University
  •  Exploration of nanostructure-property relationships for materials innovation

    • Principal Investigator
      TANAKA Isao
    • Project Period (FY)
      2015 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Science and Engineering
    • Research Institution
      Kyoto University
  •  Exploration of nanostructure-property relationships

    • Principal Investigator
      Tanaka Isao
    • Project Period (FY)
      2013 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Science and Engineering
    • Research Institution
      Kyoto University
  •  Development of basic technology for privacy-preserving bioinformatics and its application

    • Principal Investigator
      Hamada Michiaki
    • Project Period (FY)
      2013 – 2015
    • Research Category
      Grant-in-Aid for Challenging Exploratory Research
    • Research Field
      Life / Health / Medical informatics
    • Research Institution
      Waseda University
      The University of Tokyo
  •  Exploration of nanostructure - property relationships for materials innovation

    • Principal Investigator
      TANAKA Isao
    • Project Period (FY)
      2013 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Science and Engineering
    • Research Institution
      Kyoto University
  •  Estimating data structure embedded in semi-structured data

    • Principal Investigator
      Mamitsuka Hiroshi
    • Project Period (FY)
      2012 – 2015
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Intelligent informatics
    • Research Institution
      Kyoto University
  •  Development of ultra-fast comparison method of protein local structures towards the prediction of ligand-binding sites

    • Principal Investigator
      TOMII KENTARO
    • Project Period (FY)
      2011 – 2014
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Bioinformatics/Life informatics
    • Research Institution
      National Institute of Advanced Industrial Science and Technology
  •  Creative extensions of data mining theory by means of quantum-mechanical labeling

    • Principal Investigator
      TANAKA Kazuyuki
    • Project Period (FY)
      2010 – 2012
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Sensitivity informatics/Soft computing
    • Research Institution
      Tohoku University
  •  In-silico prediction of active comformations by machine learningPrincipal Investigator

    • Principal Investigator
      TSUDA Koji
    • Project Period (FY)
      2009 – 2012
    • Research Category
      Grant-in-Aid for Young Scientists (A)
    • Research Field
      Bioinformatics/Life informatics
    • Research Institution
      National Institute of Advanced Industrial Science and Technology

All 2022 2021 2020 2019 2017 2016 2015 2014 2013 2012 2011 2010 2009

All Journal Article Presentation

  • [Journal Article] Fast and More Powerful Selective Inference for Sparse High-order Interaction Model2022

    • Author(s)
      Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi
    • Journal Title

      Proceedings of AAAI Conference on Artificial Intelligence (AAAI2022)

      Volume: NA

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20H00601
  • [Journal Article] Selective inference for high-order interaction features selected in a stepwise manner2021

    • Author(s)
      Shinya Suzumura, Kazuya Nakagawa, Yuta Umezu, Koji Tsuda, Ichiro Takeuchi
    • Journal Title

      IPSJ Transactions on Bioinformatics

      Volume: 14 Issue: 0 Pages: 1-11

    • DOI

      10.2197/ipsjtbio.14.1

    • NAID

      130007985966

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-16H06538, KAKENHI-PROJECT-20H00601, KAKENHI-PROJECT-18K18010
  • [Journal Article] Efficient Query Autocompletion with Edit Distance-based Error Tolerance2020

    • Author(s)
      Jianbin Qin, Chuan Xiao, Sheng Hu, Jie Zhang, Wei Wang, Yoshiharu Ishikawa, Koji Tsuda, Kunihiko Sadakane
    • Journal Title

      The VLDB Journal

      Volume: - Issue: 4 Pages: 919-943

    • DOI

      10.1007/s00778-019-00595-4

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K11979, KAKENHI-PROJECT-15H05711
  • [Journal Article] Legendre decomposition for tensors2019

    • Author(s)
      Sugiyama Mahito、Nakahara Hiroyuki、Tsuda Koji
    • Journal Title

      Journal of Statistical Mechanics: Theory and Experiment

      Volume: 2019 Issue: 12 Pages: 124017-124017

    • DOI

      10.1088/1742-5468/ab3196

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-15H05711
  • [Journal Article] ChemTS: an efficient python library for de novo molecular generation2017

    • Author(s)
      Yang Xiufeng、Zhang Jinzhe、Yoshizoe Kazuki、Terayama Kei、Tsuda Koji
    • Journal Title

      Science and Technology of Advanced Materials

      Volume: 18 Issue: 1 Pages: 972-976

    • DOI

      10.1080/14686996.2017.1401424

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-16H00736
  • [Journal Article] Machine Learning Accelerates MD-based Binding-Pose Prediction between Ligands and Proteins2017

    • Author(s)
      K. Terayama, H. Iwata, M. Araki, Y. Okuno and K. Tsuda
    • Journal Title

      Bioinformatics

      Volume: 34 Issue: 5 Pages: 770-778

    • DOI

      10.1093/bioinformatics/btx638

    • NAID

      120006501308

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15H05711
  • [Journal Article] RNA inverse folding using Monte Carlo tree search2017

    • Author(s)
      Yang Xiufeng、Yoshizoe Kazuki、Taneda Akito、Tsuda Koji
    • Journal Title

      BMC Bioinformatics

      Volume: 18 Issue: 1 Pages: 468-468

    • DOI

      10.1186/s12859-017-1882-7

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-16H00736, KAKENHI-PROJECT-15H05711
  • [Journal Article] MDTS: automatic complex materials design using Monte Carlo tree search2017

    • Author(s)
      M. Dieb Thaer、Ju Shenghong、Yoshizoe Kazuki、Hou Zhufeng、Shiomi Junichiro、Tsuda Koji
    • Journal Title

      Science and Technology of Advanced Materials

      Volume: 18 Issue: 1 Pages: 498-503

    • DOI

      10.1080/14686996.2017.1344083

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-16H00736
  • [Journal Article] Transfer Learning to Accelerate Interface Structure Searches2017

    • Author(s)
      Oda Hiromi、Kiyohara Shin、Tsuda Koji、Mizoguchi Teruyasu
    • Journal Title

      Journal of the Physical Society of Japan

      Volume: 86 Issue: 12 Pages: 123601-123601

    • DOI

      10.7566/jpsj.86.123601

    • NAID

      210000134600

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-16H00736, KAKENHI-PLANNED-25106003, KAKENHI-PROJECT-17H06094
  • [Journal Article] Significant Pattern Mining with Confounding Variables2016

    • Author(s)
      A. Terada, D.A. duVerle and K. Tsuda
    • Journal Title

      20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD)(査読付き国際会議論文)

      Volume: - Pages: 277-289

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H05711
  • [Journal Article] Sparse Modeling of EELS and EDX Spectral Imaging Data by Nonnegative Matrix Factorization2016

    • Author(s)
      Motoki Shiga, Kazuyoshi Tatsumi, Shunsuke Muto, Koji Tsuda, Yuta Yamamoto, Toshiyuki Mori, Takayoshi Tanji
    • Journal Title

      Ultramicroscopy

      Volume: 170 Pages: 43-59

    • DOI

      10.1016/j.ultramic.2016.08.006

    • Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-16H00736, KAKENHI-PUBLICLY-16H01544, KAKENHI-PLANNED-25106004, KAKENHI-PROJECT-26249096, KAKENHI-PROJECT-16H02866
  • [Journal Article] Information Decomposition on Structured Space2016

    • Author(s)
      M. Sugiyama, H. Nakahara and K. Tsuda
    • Journal Title

      2016 IEEE International Symposium on Information Theory(査読付き国際会議論文)

      Volume: - Pages: 575-579

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15H05711
  • [Journal Article] LAMPLINK: detection of statistically significant SNP combinations from GWAS data2016

    • Author(s)
      A. Terada, R. Yamada, K. Tsuda and J. Sese
    • Journal Title

      Bioinformatics

      Volume: 32 (22) Pages: 3513-3515

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15H05711
  • [Journal Article] Machine-learning prediction of d-band center for metals and bimetals2016

    • Author(s)
      I. Takigawa, K. Shimizu, K. Tsuda and S. Takakusagi
    • Journal Title

      RSC Advances

      Volume: 6 Pages: 52587-52595

    • NAID

      120006219935

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15H05711
  • [Journal Article] COMBO: An Efficient Bayesian Optimization Library for Materials Science2016

    • Author(s)
      T. Ueno, T.D. Rhone, Z. Hou, T. Mizoguchi and K. Tsuda
    • Journal Title

      Materials Discovery

      Volume: 4 Pages: 18-21

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15H05711
  • [Journal Article] Matrix Factorization for Automatic Chemical Mapping from Electron Microscopic Spectral Imaging Datasets2016

    • Author(s)
      Motoki Shiga, Shunsuke Muto, Kazuyoshi Tatsumi, Koji Tsuda
    • Journal Title

      Transactions of the Materials Research Society of Japan

      Volume: 41 Issue: 4 Pages: 333-336

    • DOI

      10.14723/tmrsj.41.333

    • NAID

      130005172417

    • ISSN
      1382-3469, 2188-1650
    • Language
      English
    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PLANNED-16H00736, KAKENHI-PLANNED-25106004, KAKENHI-PROJECT-26249096, KAKENHI-PROJECT-16H02866
  • [Journal Article] CellTree: an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data2016

    • Author(s)
      D. A. duVerle, S. Yotsukura, S. Nomura, H. Aburatani and K. Tsuda
    • Journal Title

      BMC Bioinformatics

      Volume: 17 Pages: 363-363

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-15H05711
  • [Journal Article] Machine-learning prediction of d-band center for metals and bimetals2016

    • Author(s)
      I. Takigawa, K. Shimizu, K. Tsuda and S. Takakusagi
    • Journal Title

      RSC Advances

      Volume: 6 Issue: 58 Pages: 52587-52595

    • DOI

      10.1039/c6ra04345c

    • NAID

      120006219935

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PLANNED-16H00736, KAKENHI-PLANNED-25106010, KAKENHI-PROJECT-26289299, KAKENHI-PROJECT-26330242
  • [Journal Article] COMBO: An Efficient Bayesian Optimization Library for Materials Science2016

    • Author(s)
      T. Ueno, T.D. Rhone, Z. Hou, T. Mizoguchi and K. Tsuda
    • Journal Title

      Materials Discovery

      Volume: 4 Pages: 18-21

    • DOI

      10.1016/j.md.2016.04.001

    • Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-16H00736, KAKENHI-PLANNED-25106003
  • [Journal Article] Prediction of Low-Thermal-Conductivity Compounds with First-Principles Anharmonic Lattice-Dynamics Calculations and Bayesian Optimization2015

    • Author(s)
      Atsuto Seko, Atsushi Togo, Hiroyuki Hayashi, Koji Tsuda, Laurent Chaput, Isao Tanaka
    • Journal Title

      Physical Review Letters

      Volume: 115 Issue: 20 Pages: 205901-205901

    • DOI

      10.1103/physrevlett.115.205901

    • NAID

      120005670878

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-24106010, KAKENHI-PLANNED-25106005, KAKENHI-PROJECT-15H02286, KAKENHI-PROJECT-26820284
  • [Journal Article] Privacy-preserving search for chemical compound databases2015

    • Author(s)
      Kana Shimizu, Koji Nuida, Hiromi Arai, Shigeo Mitsunari, Nuttapong Attrapadung, Michiaki Hamada, Koji Tsuda, Takatsugu Hirokawa, Jun Sakuma, Goichiro Hanaoka, Kiyoshi Asai
    • Journal Title

      BMC Bioinformatics

      Volume: 16(Suppl 18):S6 Issue: S18 Pages: 1-14

    • DOI

      10.1186/1471-2105-16-s18-s6

    • NAID

      120007128511

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-24106010, KAKENHI-PROJECT-25540131
  • [Journal Article] Machine learning with systematic density-functional theory calculations : Application to melting temperatures of single- and binary-component solids2014

    • Author(s)
      Seko, Atsuto; Maekawa, Tomoya ; Tsuda, Koji and Tanaka, Isao
    • Journal Title

      Physical Review B

      Volume: Vol.89 Issue: 5 Pages: 54303-54303

    • DOI

      10.1103/physrevb.89.054303

    • NAID

      120005466623

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23246111, KAKENHI-PLANNED-24106010, KAKENHI-PLANNED-25106005
  • [Journal Article] An In Silico Model for Interpreting Polypharmacological Relationships in Drug-Target Networks2013

    • Author(s)
      Ichigaku Takigawa, Koji Tsuda, Hiroshi Mamitsuka
    • Journal Title

      Methods in Molecular Biology (In Silico Models for Drug Discovery)

      Volume: 993 Pages: 67-80

    • DOI

      10.1007/978-1-62703-342-8_5

    • ISBN
      9781627033411, 9781627033428
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23710233, KAKENHI-PROJECT-24300054
  • [Journal Article] PDB-scale Analysis of Known and Putative Ligand-binding Sites with Structural Sketches2012

    • Author(s)
      J. Ito, Y. Tabei, K. Shimizu, K. Tomii and K. Tsuda
    • Journal Title

      Proteins

      Volume: 80 Issue: 3 Pages: 747-763

    • DOI

      10.1002/prot.23232

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21680025, KAKENHI-PROJECT-23500374
  • [Journal Article] PoSSuM: a Database of Similar Protein-Ligand Binding and Putative Pockets2012

    • Author(s)
      J. Ito, Y. Tabei, K. Shimizu, K. Tsuda and K. Tomii
    • Journal Title

      Nucleic Acids Research

      Volume: 40 Issue: D1 Pages: D541-D548

    • DOI

      10.1093/nar/gkr1130

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21680025, KAKENHI-PROJECT-23500374
  • [Journal Article] SketchSort: Fast All Pairs Similarity Search for Large Databases of Molecular Fingerprints2011

    • Author(s)
      Y. Tabei and K. Tsuda
    • Journal Title

      Molecular Informatics

      Volume: 30 Issue: 9 Pages: 801-807

    • DOI

      10.1002/minf.201100050

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21680025
  • [Journal Article] SlideSort : All Pairs Similarity Search for Short Reads2011

    • Author(s)
      Kana Shimizu, Koji Tsuda
    • Journal Title

      Bioinformatics

      Volume: 27 Pages: 464-470

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21680025
  • [Journal Article] Mining Significant Substructure Pairs for Interpreting Polypharmacology in Drug-Target Network2011

    • Author(s)
      Ichigaku Takigawa, Koji Tsuda, Hiroshi Mamitsuka
    • Journal Title

      Plos One

      Volume: 6

    • NAID

      120002949745

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21680025
  • [Journal Article] SlideSort: All Pairs Similarity Search for Short Reads2011

    • Author(s)
      K. Shimizu and K. Tsuda
    • Journal Title

      Bioinformatics

      Volume: 27 Issue: 4 Pages: 464-470

    • DOI

      10.1093/bioinformatics/btq677

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21680025, KAKENHI-PROJECT-22700319
  • [Journal Article] Multi-Way Set Enumeration in Weight Tensors2011

    • Author(s)
      Elisabeth Georgii, Koji Tsuda, Bernhard Schoelkopf
    • Journal Title

      Machine Learning

      Volume: 82 Pages: 123-155

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21680025
  • [Journal Article] Reaction Graph Kernels Predict EC Numbers of Unknown Enzymatic Reactions in Plant Secondary Metabolism2010

    • Author(s)
      H.Saigo, M.Hattori, H.Kashima, K.Tsuda
    • Journal Title

      BMC Bioinformatics 11, Suppl.1

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21680025
  • [Journal Article] Submodularity Cuts and Applications2009

    • Author(s)
      Y.Kawahara, K.Nagano, K.Tsuda, J.Bilmes
    • Journal Title

      Advances in Neural Information Processing Systems 22

      Pages: 916-924

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21680025
  • [Journal Article] Efficiently Finding Genome-wide Three-way Interactions from Transcript and Genotype-Data2009

    • Author(s)
      M.Kayano, I.Takigawa, M.Shiga, K.Tsuda, H.Mamitsuka
    • Journal Title

      Bioinformatics 25

      Pages: 2735-2743

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21680025
  • [Presentation] Fast and More Powerful Selective Inference for Sparse High-order Interaction Model2022

    • Author(s)
      Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi
    • Organizer
      AAAI Conference on Artificial Intelligence (AAAI2022)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00601
  • [Presentation] Application of next-generation sequencing analysis in the directed evolution for creating antibody mimic2021

    • Author(s)
      Tomoyuki Ito, Hafumi Nishi, Thuy Duong Nguyen, Yutaka Saito, Tomoshi Kameda, Hikaru Nakazawa, Koji Tsuda, Mitsuo Umetsu
    • Organizer
      65th Biophysical Society Annual Meeting
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20H00315
  • [Presentation] Automatic design of functional molecules and materials2017

    • Author(s)
      Koji Tsuda
    • Organizer
      20th International Conference on Discovery Science
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H05711
  • [Presentation] Machine learning for materials discovery: catalysts, grain boundaries, superlattices and RNAs2016

    • Author(s)
      Koji Tsuda
    • Organizer
      Workshop I: Machine Learning Meets Many Particle Systems
    • Place of Presentation
      IPAM, UCLA, Los Angeles, USA
    • Year and Date
      2016-09-26
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-16H00736
  • [Presentation] 走査型電子顕微鏡データ解析のための非負値行列分解2016

    • Author(s)
      志賀元紀, 武藤俊介, 巽一厳, 津田宏治
    • Organizer
      日本応用数理学会2016年度年会
    • Place of Presentation
      北九州市北九州国際会議場
    • Year and Date
      2016-09-12
    • Invited
    • Data Source
      KAKENHI-PLANNED-16H00736
  • [Presentation] Machine Learning for Materials Discovery: Low-LTC Compounds, GrainBoundaries and Superlattices2016

    • Author(s)
      Koji Tsuda
    • Organizer
      IACS Seminar
    • Place of Presentation
      Harvard University, Boston USA
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-16H00736
  • [Presentation] Privacy-preserving search for a chemical compound database2013

    • Author(s)
      Kana Shimizu, Hiromi Arai, Koji Nuida, Michiaki Hamada, Koji Tsuda, Jun Sakuma, Takatsugu Hirokawa, Goichiro Hanaoka, Kiyoshi Asai,
    • Organizer
      ISMB/ECCB 2013
    • Place of Presentation
      ベルリン、ドイツ
    • Data Source
      KAKENHI-PROJECT-25540131
  • [Presentation] PoSSuM: a database for predicting protein-ligand Interactions2012

    • Author(s)
      K. Tomii, J. Ito, Y. Tabei, K. Shimizu, K. Tsuda
    • Organizer
      生命医薬情報学連合大会(2012年日本バイオインフォマティクス学会年会 情報計算化学生物学会(CBI学会)年次大会 オミックス医療研究会年会)
    • Place of Presentation
      タワーホール船堀(東京都)
    • Data Source
      KAKENHI-PROJECT-23500374
  • [Presentation] PoSSuM: a database for searching similar pairs of known and potential ligand-binding sites in proteins2012

    • Author(s)
      J. Ito, Y. Tabei, K. Shimizu, K. Tsuda, K. Tomii
    • Organizer
      第50回日本生物物理学会年会
    • Place of Presentation
      名古屋大学
    • Data Source
      KAKENHI-PROJECT-23500374
  • [Presentation] Possum: A Database for Predicting Protein-Ligand Interactions2012

    • Author(s)
      K. Tomii, J. Ito, Y . Tabei, K. Shimizu, K.Tsuda
    • Organizer
      生命医薬情報学連合大会
    • Place of Presentation
      東京都、タワーホール船堀
    • Year and Date
      2012-10-14
    • Data Source
      KAKENHI-PROJECT-21680025
  • [Presentation] PoSSuM: a database of known and potential ligand-binding sites in proteins2012

    • Author(s)
      J. Ito, Y. Tabei, K. Shimizu, K. Tsuda, K. Tomii
    • Organizer
      Bioinformatics 2012, SocBiN
    • Place of Presentation
      Stockholm, Sweden
    • Data Source
      KAKENHI-PROJECT-23500374
  • [Presentation] Pdb-wide discovery of similar ligand binding sites Using structural sketches2011

    • Author(s)
      J. Ito, Y. Tabei, K. Shimizu, K.Tomii, K. Tsuda
    • Organizer
      3DSIG 2011: The 7th Structural Bioinformatics and Computational Biophysics
    • Place of Presentation
      Austria Center Vienna (Austria)
    • Data Source
      KAKENHI-PROJECT-23500374
  • [Presentation] Structural Sketchを用いたタンパク質リガンド類似結合部位の高速列挙とそのデータベース構築2011

    • Author(s)
      伊東純一、田部井靖生、清水佳奈、富井健太郎、津田宏治
    • Organizer
      第11回日本蛋白質科学会年会
    • Place of Presentation
      ホテル阪急エキスポパーク (大阪府)
    • Data Source
      KAKENHI-PROJECT-23500374
  • [Presentation] A novel ultra-fast comparison method for known and potential ligand-binding sites of proteins2011

    • Author(s)
      K.Tomii, J. Ito, Y. Tabei, K. Shimizu, K. Tsuda
    • Organizer
      19th Annual International Conference on Intelligent Systems for Molecular Biology and 10th European Conference on Computational Biology
    • Place of Presentation
      Austria Center Vienna (Austria)
    • Data Source
      KAKENHI-PROJECT-23500374
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