• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Yamanishi Yoshihiro  山西 芳裕

ORCIDConnect your ORCID iD *help
… Alternative Names

山西 芳裕  ヤマニシ ヨシヒロ

Less
Researcher Number 60437267
Other IDs
Affiliation (Current) 2022: 九州工業大学, 大学院情報工学研究院, 教授
Affiliation (based on the past Project Information) *help 2018 – 2022: 九州工業大学, 大学院情報工学研究院, 教授
2016 – 2018: 九州大学, 生体防御医学研究所, 准教授
2013 – 2015: 九州大学, 高等研究院, 准教授
2007: Kyoto University, 化学研究所, 助教
Review Section/Research Field
Principal Investigator
Medium-sized Section 90:Biomedical engineering and related fields / Transformative Research Areas, Section (IV) / Bioinformatics/Life informatics / Life / Health / Medical informatics / Drug development chemistry / Basic Section 62010:Life, health and medical informatics-related / Medium-sized Section 62:Applied informatics and related fields
Except Principal Investigator
General internal medicine(including psychosomatic medicine) / Life / Health / Medical informatics / Basic Section 56020:Orthopedics-related
Keywords
Principal Investigator
AI / 機械学習 / インシリコ創薬 / ダイレクトリプログラミング / 細胞直接変換 / ビッグデータ / ゲノム情報 / 遺伝子 / タンパク質 / 糖鎖 … More / 化合物 / 化学反応 / 遺伝子ネットワーク / カーネル法 / 標的分子 / 相互作用予測 / 薬物 / 既存薬再開発 / 適応拡大 / がん / 低分子化合物 / 転写因子 / インシリコ / 創薬 / 人工知能 / 難治性疾患 / シナジー創薬学 / 化合物相乗効果 / 薬剤シナジー / 生体分子ネットワーク / 創薬標的 / 医療 / 化合物群 / シナジー効果 / 組み合わせ / 最適化 / 腫瘍化リスク / データ駆動 … More
Except Principal Investigator
機械学習 / 漢方薬 / ドラッグ・リポジショニング / 複雑系 / 医薬ビッグデータ / in silico結合シミュレーション / インシリコ / 機械学習手法 / 結合シミュレーション / 標的タンパク質探索 / 実験薬理学的検証 / 和漢医薬学 / リポジショニング / 標的タンパク質 / 東洋医学 / LBVS / QSAR / applicability domain / 変形性関節症 / microRNA / 細胞老化 / ドラックリポジショニング / 老化細胞 / エクソソーム Less
  • Research Projects

    (13 results)
  • Research Products

    (123 results)
  • Co-Researchers

    (21 People)
  •  Development of innovative AI methods for predicting therapeutic targets for intractable diseases from medical big dataPrincipal Investigator

    • Principal Investigator
      山西 芳裕
    • Project Period (FY)
      2021 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 62:Applied informatics and related fields
    • Research Institution
      Kyushu Institute of Technology
  •  Creation of data-driven direct reprogramming by AI and avoidance of tumorigenic riskPrincipal Investigator

    • Principal Investigator
      山西 芳裕
    • Project Period (FY)
      2021 – 2023
    • Research Category
      Grant-in-Aid for Challenging Research (Pioneering)
    • Review Section
      Medium-sized Section 90:Biomedical engineering and related fields
    • Research Institution
      Kyushu Institute of Technology
  •  Synergy pharmaceutical science: understanding and design of compound combination effects by integrating information, material, and life sciencesArea Organizer

    • Area Organizer
      山西 芳裕
    • Project Period (FY)
      2020 – 2022
    • Research Category
      Grant-in-Aid for Transformative Research Areas (B)
  •  Synergy pharmaceutical science: understanding and design of compound combination effects by integrating information, material, and life sciencesPrincipal Investigator

    • Principal Investigator
      山西 芳裕
    • Project Period (FY)
      2020 – 2022
    • Research Category
      Grant-in-Aid for Transformative Research Areas (B)
    • Review Section
      Transformative Research Areas, Section (IV)
    • Research Institution
      Kyushu Institute of Technology
  •  Search and design of compounds with synergistic effects by AIPrincipal Investigator

    • Principal Investigator
      山西 芳裕
    • Project Period (FY)
      2020 – 2022
    • Research Category
      Grant-in-Aid for Transformative Research Areas (B)
    • Review Section
      Transformative Research Areas, Section (IV)
    • Research Institution
      Kyushu Institute of Technology
  •  The role of chondrocyte/senescent cells-derived exosomal microRNA in pathogenesis of osteoarthritis, and in silico drug discoveryathogenesis of osteoarthritis and in silico drug discovery

    • Principal Investigator
      Miyaki Shigeru
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 56020:Orthopedics-related
    • Research Institution
      Hiroshima University
  •  Development of computational methods for transcription factor regulation and direct cell conversion by small compoundsPrincipal Investigator

    • Principal Investigator
      Yamanishi Yoshihiro
    • Project Period (FY)
      2018 – 2019
    • Research Category
      Grant-in-Aid for Challenging Research (Exploratory)
    • Review Section
      Medium-sized Section 90:Biomedical engineering and related fields
    • Research Institution
      Kyushu Institute of Technology
  •  AI-based drug discovery approach based on biomedical big data and its application to refractory diseasesPrincipal Investigator

    • Principal Investigator
      Yamanishi Yoshihiro
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 62010:Life, health and medical informatics-related
    • Research Institution
      Kyushu Institute of Technology
  •  A new rotation-translation invariant molecular encoding and its use in Computer-Aided Drug-DiscoveryHost Researcher

    • Host Researcher
      山西 芳裕
    • Project Period (FY)
      2017 – 2018
    • Research Category
      Grant-in-Aid for JSPS Fellows
    • Research Field
      Life / Health / Medical informatics
    • Research Institution
      Kyushu Institute of Technology
      Kyushu University
  •  Mode-of-action analysis of Kampo formulae and prediction of their new indications for a wide range of diseases

    • Principal Investigator
      Kadowaki Makoto
    • Project Period (FY)
      2016 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      General internal medicine(including psychosomatic medicine)
    • Research Institution
      University of Toyama
  •  Discovery of anti-cancer effects of existing drugs by data-driven drug repositioningPrincipal Investigator

    • Principal Investigator
      Yamanishi Yoshihiro
    • Project Period (FY)
      2015 – 2016
    • Research Category
      Grant-in-Aid for Challenging Exploratory Research
    • Research Field
      Drug development chemistry
    • Research Institution
      Kyushu University
  •  Development of machine learning methods to comprehensively predict drug targets from omics dataPrincipal Investigator

    • Principal Investigator
      Yamanishi Yoshihiro
    • Project Period (FY)
      2013 – 2015
    • Research Category
      Grant-in-Aid for Young Scientists (A)
    • Research Field
      Life / Health / Medical informatics
    • Research Institution
      Kyushu University
  •  ゲノム関連情報から生体分子ネットワークを予測するためのカーネル法の開発Principal Investigator

    • Principal Investigator
      山西 芳裕
    • Project Period (FY)
      2007
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Bioinformatics/Life informatics
    • Research Institution
      Kyoto University

All 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2008 2007 Other

All Journal Article Presentation

  • [Journal Article] Scaffold-Retained Structure Generator to Exhaustively Create Molecules in an Arbitrary Chemical Space2022

    • Author(s)
      Kaitoh Kazuma、Yamanishi Yoshihiro
    • Journal Title

      Journal of Chemical Information and Modeling

      Volume: -

    • DOI

      10.1021/acs.jcim.1c01130

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-20H05797
  • [Journal Article] Epigenetic landscape of drug responses revealed through large-scale ChIP-seq data analyses2022

    • Author(s)
      Zou Zhaonan、Iwata Michio、Yamanishi Yoshihiro、Oki Shinya
    • Journal Title

      BMC Bioinformatics

      Volume: 23 Pages: 51-51

    • DOI

      10.1186/s12859-022-04571-8

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21H04915
  • [Journal Article] 薬剤群のシナジー効果の機序を解明する2021

    • Author(s)
      山西芳裕
    • Journal Title

      実験医学

      Volume: 39(8) Pages: 1257-1257

    • Data Source
      KAKENHI-ORGANIZER-20H05796
  • [Journal Article] TRIOMPHE: Transcriptome-Based Inference and Generation of Molecules with Desired Phenotypes by Machine Learning2021

    • Author(s)
      Kaitoh Kazuma、Yamanishi Yoshihiro
    • Journal Title

      Journal of Chemical Information and Modeling

      Volume: 61 Pages: 4303-4320

    • DOI

      10.1021/acs.jcim.1c00967

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-20H05797
  • [Journal Article] Lean-Docking: Exploiting Ligands’ Predicted Docking Scores to Accelerate Molecular Docking2021

    • Author(s)
      Berenger Francois、Kumar Ashutosh、Zhang Kam Y. J.、Yamanishi Yoshihiro
    • Journal Title

      Journal of Chemical Information and Modeling

      Volume: 61 Pages: 1-12

    • DOI

      10.1021/acs.jcim.0c01452

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H02395, KAKENHI-PROJECT-18H03334
  • [Journal Article] Ranking Molecules with Vanishing Kernels and a Single Parameter: Active Applicability Domain Included2020

    • Author(s)
      Berenger, F. and Yamanishi, Y.
    • Journal Title

      Journal of Chemical Information and Modeling

      Volume: 60 Pages: 43764387-43764387

    • DOI

      10.1021/acs.jcim.9b01075

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Journal Article] Omics-based identification of glycan structures as biomarkers for a variety of diseases2020

    • Author(s)
      Akiyoshi, S., Iwata, M., Berenger, F., and Yamanishi, Y.
    • Journal Title

      Molecular Informatics

      Volume: 39(1-2)

    • DOI

      10.1002/minf.201900112

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Journal Article] Prediction of the Health Effects of Food Peptides and Elucidation of the Mode-of-action Using Multi-task Graph Convolutional Neural Network2020

    • Author(s)
      Fukunaga, I., Sawada, R., Shibata, T., Kaitoh, K., Sakai, Y., and Yamanishi, Y.,
    • Journal Title

      Molecular Informatics

      Volume: 39(1-2)

    • DOI

      10.1002/minf.201900134

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Journal Article] A Distance-Based Boolean Applicability Domain for Classification of High Throughput Screening Data2019

    • Author(s)
      Berenger F, Yamanishi Y.
    • Journal Title

      Journal of Chemical Information and Modeling

      Volume: 59 Pages: 463-476

    • DOI

      10.1021/acs.jcim.8b00499

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H05276, KAKENHI-PROJECT-18H03334, KAKENHI-PROJECT-17F17051
  • [Journal Article] The Use of Large-Scale Chemically-Induced Transcriptome Data Acquired from LINCS to Study Small Molecules.2019

    • Author(s)
      Iwata M, Yamanishi Y.
    • Journal Title

      Methods Mol Biol.

      Volume: 1888 Pages: 189-203

    • DOI

      10.1007/978-1-4939-8891-4_11

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H05276
  • [Journal Article] Chemoinformatics and Structural Bioinformatics in OCaml2019

    • Author(s)
      Berenger F, Zhang KYJ, Yamanishi Y.
    • Journal Title

      Journal of Cheminformatics

      Volume: 11 Pages: 10-10

    • DOI

      10.1186/s13321-019-0332-0

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16H05276, KAKENHI-PROJECT-18H03334, KAKENHI-PROJECT-17F17051
  • [Journal Article] Pathway-Based Drug Repositioning for Cancers: Computational Prediction and Experimental Validation.2018

    • Author(s)
      Iwata, M., Hirose, L., Kohara, H., Liao, J., Sawada, R., Akiyoshi, S., Tani, K., Yamanishi, Y.
    • Journal Title

      J Med Chem.

      Volume: 61 Pages: 9583-9595

    • DOI

      10.1021/acs.jmedchem.8b01044

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-17H01547, KAKENHI-PROJECT-16H05276
  • [Journal Article] Sparse Modeling to Analyze Drug-Target Interaction Networks.2018

    • Author(s)
      Yamanishi Y.
    • Journal Title

      Methods Mol Biol.

      Volume: 1807 Pages: 181-193

    • DOI

      10.1007/978-1-4939-8561-6_13

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H05276
  • [Journal Article] KampoDB, database of predicted targets and functional annotations of natural medicines.2018

    • Author(s)
      Sawada R, Iwata M, Umezaki M, Usui Y, Kobayashi T, Kubono T, Hayashi S, Kadowaki M, Yamanishi Y.
    • Journal Title

      Sci Rep.

      Volume: 8 Pages: 11216-11216

    • DOI

      10.1038/s41598-018-29516-1

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16H05276
  • [Journal Article] Linear and Kernel Model Construction Methods for Predicting Drug-Target Interactions in a Chemogenomic Framework.2018

    • Author(s)
      Yamanishi Y.
    • Journal Title

      Methods Mol Biol.

      Volume: 1825 Pages: 355-368

    • DOI

      10.1007/978-1-4939-8639-2_12

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H05276
  • [Journal Article] Elucidating the modes of action for bioactive compounds in a cell-specific manner by large-scale chemically-induced transcriptomics2017

    • Author(s)
      Iwata, M., Sawada, R., Iwata, H., Kotera, M., and Yamanishi, Y.
    • Journal Title

      Scientific Reports

      Volume: 7 Pages: 40164-40164

    • DOI

      10.1038/srep40164

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-15K14980
  • [Journal Article] Predicting target proteins for drug candidate compounds based on drug-induced gene expression data in a chemical structure-independent manner2015

    • Author(s)
      Hizukuri, Y., Sawada, R., and Yamanishi, Y.
    • Journal Title

      BMC Medical Genomics

      Volume: 8 Pages: 82-82

    • DOI

      10.1186/s12920-015-0158-1

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Journal Article] Large-scale prediction of beneficial drug combinations using drug efficacy and target profiles2015

    • Author(s)
      Iwata, H., Sawada, R., Mizutani, S., Kotera, M., and Yamanishi, Y.
    • Journal Title

      Journal of Chemical Information and Modeling

      Volume: 55 Pages: 2705-2716

    • DOI

      10.1021/acs.jcim.5b00444

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Journal Article] Mining discriminative patterns from graph data with multiple labels and its application to QSAR2015

    • Author(s)
      Shao, Z., Hirayama, Y., Yamanishi, Y., Saigo, H.
    • Journal Title

      Journal of Chemical Information and Modeling

      Volume: 55 Pages: 2519-2527

    • DOI

      10.1021/acs.jcim.5b00376

    • Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25700004, KAKENHI-PROJECT-25700029
  • [Journal Article] Target-based drug repositioning using large-scale chemical-protein interactome data2015

    • Author(s)
      Sawada, R., Iwata, H., Mizutani, S., and Yamanishi, Y.
    • Journal Title

      Journal of Chemical Information and Modeling

      Volume: 55 Pages: 2717-2730

    • DOI

      10.1021/acs.jcim.5b00330

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-15K14980, KAKENHI-PROJECT-25700029
  • [Journal Article] DINIES: drug-target interaction network inference engine based on supervised analysis2014

    • Author(s)
      Yoshihiro Yamanishi, Masaaki Kotera, Yuki Moriya, Ryusuke Sawada, Minoru Kanehisa, Susumu Goto
    • Journal Title

      Nucleic Acids Research

      Volume: 42

    • DOI

      10.1093/nar/gku337

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PUBLICLY-25108714, KAKENHI-PROJECT-25700029
  • [Journal Article] Benchmarking a wide range of chemical descriptors for drug-target interaction prediction using a chemogenomic approach2014

    • Author(s)
      Ryusuke Sawada, Masaaki Kotera, and Yoshihiro Yamanishi
    • Journal Title

      Molecular Informatics

      Volume: 33 Pages: 719-731

    • DOI

      10.1002/minf.201400066

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PUBLICLY-25108714, KAKENHI-PROJECT-25700029
  • [Journal Article] Inferring chemogenomic features from drug-target interaction networks2013

    • Author(s)
      Yamanishi, Y.
    • Journal Title

      Molecular Informatics

      Volume: 32 Pages: 991-999

    • DOI

      10.1002/minf.201300079

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Journal Article] KCF-S: KEGG Chemical Function and Substructure for improved interpretability and prediction in chemical bioinformatics2013

    • Author(s)
      Masaaki Kotera, Yasuo Tabei, Yoshihiro Yamanishi, Yuki Moriya, Toshiaki Tokimatsu, Minoru Kanehisa and Susumu Goto.
    • Journal Title

      BMC Systems Biology

      Volume: 7

    • DOI

      10.1186/1752-0509-7-s6-s2

    • Peer Reviewed
    • Data Source
      KAKENHI-PUBLICLY-25108714, KAKENHI-PROJECT-25700029
  • [Journal Article] Inferring protein domains associated with drug side effects based on drug-target interaction network2013

    • Author(s)
      Iwata, H., Mizutani, S., Tabei, Y., Kotera, M., Goto, S., and Yamanishi, Y.
    • Journal Title

      BMC Systems Biology

      Volume: 7(Suppl 6)

    • DOI

      10.1186/1752-0509-7-s6-s18

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Journal Article] Scalable prediction of compound-protein interactions using minwise hashing2013

    • Author(s)
      Y.Tabei and Y.Yamanishi
    • Journal Title

      BMC Systems Biology

      Volume: 7

    • DOI

      10.1186/1752-0509-7-s6-s3

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24700140, KAKENHI-PROJECT-25700029
  • [Journal Article] KEGG for linking genomes to life and the environment2008

    • Author(s)
      Kanehisa, M., Araki, M., Goto, S., Hattori, M., Hirakawa, M., Itoh, M., Katayama, T., Kawashima, S., Okuda, S. Tokimatsu, T., and Yamanishi, Y.
    • Journal Title

      Nucleic Acids Research 36(In press)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19700274
  • [Journal Article] An improved scoring scheme for predicting glycan structures from gene expression data2007

    • Author(s)
      Suga, A., Yamanishi, Y., Hashimoto, K., Goto, S., and Kanehisa, M.
    • Journal Title

      Genome Informatics 18(1)(In press)

    • NAID

      130003812147

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19700274
  • [Presentation] AIによるデータ駆動型研究が拓く医薬品・食品開発2022

    • Author(s)
      山西芳裕
    • Organizer
      生物資源と触媒技術に基づく食・薬・材創生コンソーシアム 第5回シンポジウム
    • Invited
    • Data Source
      KAKENHI-PLANNED-20H05797
  • [Presentation] トランスオミクス解析によるダイレクトリプログラミング誘導転写因子の予測2022

    • Author(s)
      濱野桃子, 江口凌平, 岩田通夫, 中村透, 山西芳裕
    • Organizer
      第21回日本再生医療学会
    • Data Source
      KAKENHI-PROJECT-21K18327
  • [Presentation] AIによるデータ駆動型創薬と分子設計2022

    • Author(s)
      山西芳裕
    • Organizer
      日本薬学会 第142年会, シンポジウム「創薬・医療における人工知能の活用」
    • Invited
    • Data Source
      KAKENHI-PLANNED-20H05797
  • [Presentation] AIによるデータ駆動型研究が拓く生命医科学と創薬2022

    • Author(s)
      山西芳裕
    • Organizer
      第1393回生物科学セミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-21H04915
  • [Presentation] AIによるデータ駆動型研究が拓く創薬と医療2021

    • Author(s)
      山西芳裕
    • Organizer
      第 25 回日本がん分子標的治療学会学術集会日本薬学会, シンポジウム「AI」
    • Invited
    • Data Source
      KAKENHI-PLANNED-20H05797
  • [Presentation] シナジー創薬学:情報・物質・生命の協奏による化合物相乗効果の統合理解と設計2021

    • Author(s)
      山西芳裕
    • Organizer
      第10回生命医薬情報学連合大会
    • Invited
    • Data Source
      KAKENHI-ORGANIZER-20H05796
  • [Presentation] 機械学習によるデータ駆動型創薬2021

    • Author(s)
      山西芳裕
    • Organizer
      日本薬学会 第141年会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] AIによるデータ駆動型研究が拓く創薬と医療2021

    • Author(s)
      山西芳裕
    • Organizer
      情報計算化学生物学会(CBI学会)2021年大会, シンポジウム「国内 AI 創薬の最前線」
    • Invited
    • Data Source
      KAKENHI-PROJECT-21H04915
  • [Presentation] 臨床ビッグデータからの疾患予防薬の探索と治療標的の推定2021

    • Author(s)
      岡本紗枝、澤田隆介, 山西芳裕
    • Organizer
      第10回生命医薬情報学連合大会
    • Data Source
      KAKENHI-PROJECT-21H04915
  • [Presentation] AIによるデータ駆動型研究が拓く創薬と医療2021

    • Author(s)
      山西芳裕
    • Organizer
      ゲノム創薬・創発フォーラム 第8回シンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-21H04915
  • [Presentation] 機械学習によるデータ駆動型研究が拓くヘルスケア2021

    • Author(s)
      山西芳裕
    • Organizer
      第10回生命医薬情報学連合大会, ワークショップ「人工知能と生命誌に基づく生命医科学のためのバイオインフォマティクス」
    • Invited
    • Data Source
      KAKENHI-PLANNED-20H05797
  • [Presentation] AIによるデータ駆動型研究が拓く創薬と医療2021

    • Author(s)
      山西芳裕
    • Organizer
      第26回 AI・データ利活用研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-21H04915
  • [Presentation] AI創薬開発-データ駆動型創薬の最新技術動向と今後の展望2021

    • Author(s)
      山西芳裕
    • Organizer
      情報機構セミナー
    • Invited
    • Data Source
      KAKENHI-PLANNED-20H05797
  • [Presentation] ターゲットリポジショニング:遺伝子摂動応答トランスクリプトームを用いた創薬標的予測2021

    • Author(s)
      難波里子、岩田通夫、山西芳裕
    • Organizer
      第10回生命医薬情報学連合大会
    • Data Source
      KAKENHI-PROJECT-21H04915
  • [Presentation] AIによるデータ駆動型研究が拓く創薬と医療2021

    • Author(s)
      山西芳裕
    • Organizer
      技術士CPD研鑽会
    • Invited
    • Data Source
      KAKENHI-PROJECT-21H04915
  • [Presentation] トランスクリプトームデータを用いたダイレクトリプログラミングを誘導する低分子化合物の組み合わせ予測2021

    • Author(s)
      濱野桃子、中村透、岩田通夫、江口凌平, 山西芳裕
    • Organizer
      第10回生命医薬情報学連合大会
    • Data Source
      KAKENHI-PROJECT-21K18327
  • [Presentation] シナジー創薬学:情報・物質・生命の協奏による化合物相乗効果の統合理解と設計2021

    • Author(s)
      山西芳裕
    • Organizer
      文科省科研費学術変革領域研究(B)「重水素学:重水素が示す特性の理解と活用」特別企画:「重水素学」の今 × 学術変革(B)「革新ラマン」「高分子精密分解」「シナジー創薬学」座談会
    • Invited
    • Data Source
      KAKENHI-ORGANIZER-20H05796
  • [Presentation] AIによるデータ駆動型研究が拓く創薬と医療2021

    • Author(s)
      山西芳裕
    • Organizer
      薬物動態談話会 第44年会
    • Invited
    • Data Source
      KAKENHI-PROJECT-21H04915
  • [Presentation] AIによるデータ駆動型研究が拓く創薬と医療2021

    • Author(s)
      山西芳裕
    • Organizer
      第80回日本癌学会学術総会, Symposia「AIによる創薬・診断の強化」
    • Invited
    • Data Source
      KAKENHI-PLANNED-20H05797
  • [Presentation] in silico解析(BD/機械学習)をつかった創薬/ドラッグリポジショニング2021

    • Author(s)
      山西芳裕
    • Organizer
      サイエンス&テクノロジーセミナー
    • Invited
    • Data Source
      KAKENHI-PLANNED-20H05797
  • [Presentation] AIによるデータ駆動型研究が拓く創薬や医療2021

    • Author(s)
      山西芳裕
    • Organizer
      ALDOCKセミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] AIによるデータ駆動型研究が拓く生命医科学と創薬2021

    • Author(s)
      山西芳裕
    • Organizer
      バイオDXの最前線 - JST戦略的創造研究推進事業 CREST「データ駆動・AI駆動を中心としたデジタルトランスフォーメーションによる生命科学研究の革新[バイオDX]」キックオフシンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-21H04915
  • [Presentation] From drug repositioning to target repositioning: omics-based prediction of therapeutic targets for a variety of diseases2021

    • Author(s)
      難波里子、岩田通夫、山西芳裕
    • Organizer
      情報計算化学生物学会(CBI学会)2021年大会
    • Data Source
      KAKENHI-PROJECT-21H04915
  • [Presentation] AIによるデータ駆動型研究が拓く創薬や医療2021

    • Author(s)
      山西芳裕
    • Organizer
      第58回日本糖尿病学会関東甲信越地方会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] 摂動応答トランスクリプトームを用いた創薬標的分子と治療薬の探索2020

    • Author(s)
      難波里子, 岩田通夫, 飯田緑, 山西芳裕
    • Organizer
      第9回生命医薬情報学連合大会
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] 深層学習を用いた漢方薬リポジショニングと作用機序解析2020

    • Author(s)
      Douke, A., Sawada, R., Iwata, M., Sakai, Y., Kadowaki, M., and Yamanishi, Y.
    • Organizer
      第9回生命医薬情報学連合大会
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] Multiple omics-based diseasome analysis on gene expression machinery toward understanding disease-disease relationships and drug discovery2020

    • Author(s)
      岩田通夫, 沖真弥, 山西芳裕
    • Organizer
      第43回 日本分子生物学会年会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] AIによる漢方薬の作用機序解析と効能予測2020

    • Author(s)
      山西芳裕
    • Organizer
      第2回日本東洋医学会福岡県部会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] AIによるデータ駆動型研究が拓く創薬や医療2020

    • Author(s)
      山西芳裕
    • Organizer
      Science Pioneers Consortium (SPC) 2020
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] 深層学習による食品ペプチドの健康効果の予測と作用機序の解明2020

    • Author(s)
      Fukunaga, I., Sawada, R., Shibata, T., Kaitoh, K., Sakai, Y., and Yamanishi, Y.
    • Organizer
      第9回生命医薬情報学連合大会
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] AI創薬:薬効や副作用を予測するデータ駆動型アプローチ2019

    • Author(s)
      山西芳裕
    • Organizer
      第63回日本リウマチ学会総会・学術集会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] Small Compound-based Direct Reprogramming Using Large-scale Omics Data2019

    • Author(s)
      中村透, 岩田通夫, 濱野桃子, 江口凌平, 山西芳裕
    • Organizer
      情報計算化学生物学会2019年大会
    • Data Source
      KAKENHI-PROJECT-18K19930
  • [Presentation] トランスクリプトーム情報とエピゲノム情報の融合解析によるインシリコ・ダイレクトリプログラミング2019

    • Author(s)
      江口凌平, 濱野桃子, 岩田通夫, 中村透, 沖真弥, 山西芳裕
    • Organizer
      第8回生命医薬情報学連合大会
    • Data Source
      KAKENHI-PROJECT-18K19930
  • [Presentation] Computational direct reprogramming by integrating genome, transcriptome and epigenome data2019

    • Author(s)
      江口凌平, 濱野桃子, 岩田通夫, 中村透, 沖真弥, 山西芳裕
    • Organizer
      情報計算化学生物学会2019年大会
    • Data Source
      KAKENHI-PROJECT-18K19930
  • [Presentation] Data-driven drug discovery and medical treatment by machine learning2019

    • Author(s)
      Yamanishi, Y.
    • Organizer
      The 6th Autumn School of Chemoinformatics in Nara 2019
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] AI創薬:化合物の薬効を予測するデータ駆動型アプローチ2019

    • Author(s)
      山西芳裕
    • Organizer
      第1回日本メディカルAI学会学術集会
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] Prediction of Health Effects of Food Peptides and Elucidation of The Mode-of-action Using Multi-task Graph Convolutional Neural Networks2019

    • Author(s)
      Fukunaga, I., Sawada, R., Shibata, T., Kaitoh, K., Sakai, Y., and Yamanishi, Y.
    • Organizer
      情報計算化学生物学会2019年大会
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] AI創薬:化合物の薬効や副作用を予測するデータ駆動型アプローチ2019

    • Author(s)
      山西芳裕
    • Organizer
      第46回日本毒性学会学術年会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] Data-driven drug discovery and medical treatment by machine learning2019

    • Author(s)
      Yamanishi, Y.
    • Organizer
      ACS Fall 2019 National Meeting & Exposition, Herman Skolnik Symposium
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] 機械学習によるデータ駆動型創薬とパスウェイ創薬2019

    • Author(s)
      山西芳裕
    • Organizer
      第92回日本薬理学会年会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] A Distance-Based Boolean Applicability Domain for Classification of HTS Data2019

    • Author(s)
      Berenger, F. and Yamanishi, Y.
    • Organizer
      OpenEye CUP XIX
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17F17051
  • [Presentation] AI創薬:薬効や副作用を予測するデータ駆動型アプローチ2019

    • Author(s)
      山西芳裕
    • Organizer
      第66回日本実験動物学会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] AI創薬:化合物の薬効や副作用を予測するデータ駆動型アプローチ2019

    • Author(s)
      山西芳裕
    • Organizer
      ファーマIT&デジタルエキスポ2019
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] 低分子化合物によるデータ駆動型ダイレクトリプログラミング2019

    • Author(s)
      中村透, 岩田通夫, 濱野桃子, 江口凌平, 山西芳裕
    • Organizer
      第8回生命医薬情報学連合大会
    • Data Source
      KAKENHI-PROJECT-18K19930
  • [Presentation] AI創薬:薬効や副作用を予測するデータ駆動型アプローチ2018

    • Author(s)
      山西芳裕
    • Organizer
      構造活性フォーラム2018
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] Combining a bisector tree with the Tanimoto distance for similarity searches and beyond2018

    • Author(s)
      Berenger, F. and Yamanishi, Y.
    • Organizer
      The 7th French-Japanese Workshop on Computational Methods in Chemistry
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17F17051
  • [Presentation] Data-driven drug discovery and repositioning by machine learning methods2018

    • Author(s)
      Yamanishi, Y.
    • Organizer
      ACS Skolnik Symposium
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] AI創薬:薬効や副作用を予測するデータ駆動型アプローチ2018

    • Author(s)
      山西芳裕
    • Organizer
      第39回富山大学和漢医薬学総合研究所特別セミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] AI創薬:薬効や副作用を予測するデータ駆動型アプローチ2018

    • Author(s)
      山西芳裕
    • Organizer
      新学術領域(研究領域提案型)「化学コミュニケーションのフロンティア」第1回若手シンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] ディジーゾーム解析による疾患間の関連性理解と創薬応用2018

    • Author(s)
      山西芳裕
    • Organizer
      第12回メタボロームシンポジウム
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] Combining a bisector tree with the Tanimoto distance for similarity searches and beyond2018

    • Author(s)
      Berenger, F. and Yamanishi, Y.
    • Organizer
      第41回ケモインフォマティクス討論会
    • Data Source
      KAKENHI-PROJECT-17F17051
  • [Presentation] AI創薬:薬効や副作用を予測するデータ駆動型アプローチ2018

    • Author(s)
      山西芳裕
    • Organizer
      第31回日本動物実験代替法学会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] AI創薬:薬効や副作用を予測するデータ駆動型アプローチ2018

    • Author(s)
      山西芳裕
    • Organizer
      九州大学-理化学研究所-福岡市 三者連携シンポジウム
    • Data Source
      KAKENHI-PROJECT-18H03334
  • [Presentation] A new rotation-translation invariant molecular descriptor for Ligand-Based Virtual Screening and beyond2017

    • Author(s)
      Francois Berenger and Yoshihiro Yamanishi
    • Organizer
      Informatics In Biology, Medicine and Pharmacology (IIBMP) 2017
    • Data Source
      KAKENHI-PROJECT-17F17051
  • [Presentation] Compuational analysis of the mode-of-action and pharmacological effects of Japanese Kampo medicines2017

    • Author(s)
      Sawada, R., Iwata, M., Umezaki, M., Usui, Y., Kubono, T., Kadowaki, M., and Yamanishi, Y.
    • Organizer
      The Sixteenth Asia Pacific Bioinformatics Conference (APBC2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H05276
  • [Presentation] データ駆動型ドラッグリポジショニングによるシステム創薬2017

    • Author(s)
      山西芳裕
    • Organizer
      日本バイオインフォマティクス学会(JSBi)九州地域部会セミナー
    • Place of Presentation
      下関
    • Year and Date
      2017-03-10
    • Data Source
      KAKENHI-PROJECT-15K14980
  • [Presentation] KampoDB: An integrated platform for mode-of-action analysis and repositioning of natural medicines2017

    • Author(s)
      Sawada, R., Iwata, M., Umezaki, M., Usui, Y., Kubono, T., Kadowaki, M., and Yamanishi, Y.
    • Organizer
      情報計算化学生物学会2017年大会
    • Data Source
      KAKENHI-PROJECT-16H05276
  • [Presentation] A new rotation-translation invariant molecular descriptor for Ligand-Based Virtual Screening and beyond2017

    • Author(s)
      Francois Berenger and Yoshihiro Yamanishi
    • Organizer
      Chem-Bio Informatics Society(CBI) Annual Meeting 2017
    • Data Source
      KAKENHI-PROJECT-17F17051
  • [Presentation] パスウェイ情報と化合物応答トランスクリプトーム解析によるドラッグリポジショニング:計算機的予測と実験的検証2016

    • Author(s)
      岩田通夫, 澤田隆介, 小寺正明,山西芳裕
    • Organizer
      第5回生命医薬情報学連合大会
    • Place of Presentation
      東京
    • Year and Date
      2016-09-29
    • Data Source
      KAKENHI-PROJECT-15K14980
  • [Presentation] Computational drug repositioning using medical big data2016

    • Author(s)
      Yamanishi, Y.
    • Organizer
      The 6th French-Japanese Workshop on Computational Methods in Chemistry
    • Place of Presentation
      Kyoto
    • Year and Date
      2016-03-16
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] Pathway-based drug discovery and repositioning by large-scale chemically-induced transcriptomics2016

    • Author(s)
      Iwata, M., Sawada, R., Kotera, M., and Yamanishi, Y.
    • Organizer
      情報計算化学生物学会2016年大会
    • Place of Presentation
      東京
    • Year and Date
      2016-10-25
    • Data Source
      KAKENHI-PROJECT-15K14980
  • [Presentation] Systematic drug repositioning for a wide range of diseases with machine learning methods2015

    • Author(s)
      Yamanishi, Y.
    • Organizer
      Study Sessions on Bioinformatics and Related Topics
    • Place of Presentation
      Osaka
    • Year and Date
      2015-11-04
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] 医薬ビッグデータ解析に基づくインシリコ創薬2015

    • Author(s)
      山西芳裕
    • Organizer
      HPCIセミナー「予測する生命科学・医療および創薬基盤」
    • Place of Presentation
      東京
    • Year and Date
      2015-10-23
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] 化合物・タンパク質間インターラクトーム情報とオミックスデータに基づくドラッグリポジショニング2015

    • Author(s)
      澤田隆介, 岩田通夫, 山西芳裕
    • Organizer
      情報計算化学生物学会2015年大会
    • Place of Presentation
      東京
    • Year and Date
      2015-10-27
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] 医薬ビッグデータと機械学習によるインシリコ創薬2015

    • Author(s)
      山西芳裕
    • Organizer
      日本計算機統計学会 第29回シンポジウム
    • Place of Presentation
      釧路
    • Year and Date
      2015-11-27
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] 化合物摂動と遺伝子摂動の遺伝子発現プロファイルを用いた医薬品候補化合物の標的タンパク質予測2015

    • Author(s)
      澤田隆介, 岩田通夫, 山西芳裕
    • Organizer
      第4回生命医薬情報学連合大会
    • Place of Presentation
      宇治
    • Year and Date
      2015-10-29
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] 医療ビッグデータの創薬応用のための機械学習法2015

    • Author(s)
      山西芳裕
    • Organizer
      第31回大規模データ科学に関する研究会
    • Place of Presentation
      札幌
    • Year and Date
      2015-08-24
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] 医薬ビッグデータと機械学習によるインシリコ創薬2015

    • Author(s)
      山西芳裕
    • Organizer
      新生命科学分野開拓とスーパーコンピュータ「京」
    • Place of Presentation
      福岡
    • Year and Date
      2015-12-17
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] Systematic drug repositioning for a wide range of diseases with computational approaches2015

    • Author(s)
      Yamanishi, Y.
    • Organizer
      JCUP VI
    • Place of Presentation
      Tokyo
    • Year and Date
      2015-06-04
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] 医薬ビッグデータと機械学習によるインシリコ創薬2015

    • Author(s)
      山西芳裕
    • Organizer
      第19回バイオメディカル研究会「人工知能のバイオメディカル応用」
    • Place of Presentation
      大阪
    • Year and Date
      2015-10-30
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] 化合物応答遺伝子発現プロファイルの大規模解析による生理活性化合物の作用機序推定と創薬への応用2015

    • Author(s)
      岩田通夫, 澤田隆介, 山西芳裕
    • Organizer
      BMB2015(第38回分子生物学会・第88回生化学会合同大会)
    • Place of Presentation
      神戸
    • Year and Date
      2015-12-01
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] 医薬ビッグデータに基づくインシリコ創薬:がんへのドラッグリポジショニング2015

    • Author(s)
      山西芳裕
    • Organizer
      第2回次世代がんインフォマティクス研究会
    • Place of Presentation
      岡山
    • Year and Date
      2015-09-11
    • Invited
    • Data Source
      KAKENHI-PROJECT-15K14980
  • [Presentation] Systematic drug repositioning via omics data analysis with machine learning methods2015

    • Author(s)
      Yamanishi, Y.
    • Organizer
      Autumn School of Chemoinformatics in Tokyo
    • Place of Presentation
      Tokyo
    • Year and Date
      2015-11-25
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] オミックスデータ解析と機械学習によるインシリコ創薬2014

    • Author(s)
      山西芳裕
    • Organizer
      平成26年度九州大学高等研究院-公益財団法人九州先端科学技術研究所 研究交流会
    • Place of Presentation
      福岡
    • Year and Date
      2014-12-01
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] 薬物の潜在標的分子と新規効能のインシリコ予測2014

    • Author(s)
      山西芳裕
    • Organizer
      日本化学会情報化学部会主催 第二回若手の会
    • Place of Presentation
      東京
    • Year and Date
      2014-11-29
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] 薬物の潜在標的分子と新規効能のインシリコ予測2014

    • Author(s)
      山西芳裕
    • Organizer
      共進化社会システム創成拠点フォーラム
    • Place of Presentation
      東京
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] オミックスデータ解析と機械学習によるインシリコ創薬2014

    • Author(s)
      山西芳裕
    • Organizer
      第23回BMIRC研究会
    • Place of Presentation
      飯塚
    • Year and Date
      2014-10-08
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] ドラッグ・リポジショニングのためのイン・シリコ手法2014

    • Author(s)
      山西芳裕
    • Organizer
      千里ライフサイエンス振興財団専門実務セミナー
    • Place of Presentation
      大阪
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] Predicting drug-target interaction networks from the integration of chemical, genomic, and pharmacological spaces2014

    • Author(s)
      Yamanishi, Y.
    • Organizer
      International Symposium on Tumor Biology in Kanazawa & Academic Drug Discovery Symposium
    • Place of Presentation
      Kanazawa, Japan
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] Analysis and inference of drug-target interaction networks2014

    • Author(s)
      Yamanishi, Y.
    • Organizer
      International Symposium on Bioinformatics and its Application
    • Place of Presentation
      Tokyo
    • Year and Date
      2014-09-30
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] KCF-S: KEGG Chemical Function and Substructure for improved interpretability and prediction in chemical bioinformatics2013

    • Author(s)
      Kotera, M., Tabei, Y., Yamanishi, Y., Moriya, Y., Tokimatsu, T., Kanehisa, M., and Goto, S.
    • Organizer
      The 24th International Conference on Genome Informatics (GIW2013)
    • Place of Presentation
      Singapore, Singapore
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] オミックスデータから薬物標的分子を網羅的に予測するためのバイオインフォマティクス2013

    • Author(s)
      山西芳裕
    • Organizer
      第3回NGS現場の会
    • Place of Presentation
      神戸
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] ゲノム情報、ケミカル情報、薬理情報から薬物標的分子を予測する統計手法2013

    • Author(s)
      山西芳裕
    • Organizer
      2013年度統計関連学会連合大会
    • Place of Presentation
      大阪
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] 機械学習による薬物の標的分子や副作用の網羅的予測2013

    • Author(s)
      山西芳裕
    • Organizer
      第41回構造活性相関シンポジウム
    • Place of Presentation
      西宮
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] ケモゲノミクスや薬理ゲノミクスの手法による薬物・標的タンパク質間相互作用ネットワークの予測2013

    • Author(s)
      山西芳裕
    • Organizer
      第2回生命システム理論研究会
    • Place of Presentation
      東京
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] Scalable prediction of compound-protein interactions using minwise hashing2013

    • Author(s)
      Tabei, Y. and Yamanishi, Y.
    • Organizer
      The 24th International Conference on Genome Informatics (GIW2013)
    • Place of Presentation
      Singapore, Singapore
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] Inferring protein domains associated with drug side effects based on drug-target interaction network2013

    • Author(s)
      Iwata, H., Mizutani, S., Tabei, Y., Kotera, M., Goto, S., and Yamanishi, Y.
    • Organizer
      The 24th International Conference on Genome Informatics (GIW2013)
    • Place of Presentation
      Singapore, Singapore
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] An improved scoring scheme for predicting glycan structures from gene expression data2007

    • Author(s)
      Suga, A., Yamanishi, Y., Hashimoto, K., Goto, S., and Kanehisa, M.
    • Organizer
      The Seventh Annual International Workshop on Bioinformatics and Systems Biology(IBSB2007)
    • Place of Presentation
      Institute of Medical Science, The University of Tokyo
    • Year and Date
      2007-08-02
    • Data Source
      KAKENHI-PROJECT-19700274
  • [Presentation] In silico methods for predicting drug targets and new drug indications

    • Author(s)
      Yamanishi, Y.
    • Organizer
      The 9th International Symposium of the Institute Network
    • Place of Presentation
      Osaka
    • Year and Date
      2014-06-19 – 2014-06-20
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] Analysis and inference of drug-target interaction networks

    • Author(s)
      Yamanishi, Y.
    • Organizer
      The 5th French-Japanese Workshop on Computational Methods in Chemistry
    • Place of Presentation
      Strasbourg
    • Year and Date
      2014-06-30 – 2014-07-01
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] ネットワーク解析に基づくドラッグリポジショニング

    • Author(s)
      山西芳裕
    • Organizer
      日本薬剤学会第29年会
    • Place of Presentation
      さいたま
    • Year and Date
      2014-05-20 – 2014-05-22
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] DINIES: A web-based application for predicting drug-target interaction networks

    • Author(s)
      Yamanishi, Y., Kotera, M., Moriya, Y., Sawada, R., Kanehisa, M., and Goto, S.
    • Organizer
      The Thirteenth Asia Pacific Bioinformatics Conference
    • Place of Presentation
      HsinChu
    • Year and Date
      2015-01-21 – 2015-01-23
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] DINIES: A web-based application for predicting drug-target interaction networks

    • Author(s)
      Yamanishi, Y., Kotera, M., Moriya, Y., Sawada, R., Kanehisa, M., and Goto, S.
    • Organizer
      The 22nd International Conference on Intelligent Systems for Molecular Biology
    • Place of Presentation
      Boston
    • Year and Date
      2014-07-11 – 2014-07-15
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] ケモゲノミクスや薬理ゲノミクスに基づくインシリコ創薬

    • Author(s)
      山西芳裕
    • Organizer
      天然薬物研究方法論アカデミー第17回シンポジウム
    • Place of Presentation
      富山
    • Year and Date
      2014-07-26 – 2014-07-27
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • [Presentation] オミックスデータに基づく分子間相互作用ネットワークの予測と創薬への応用

    • Author(s)
      山西芳裕
    • Organizer
      第3回生命医薬情報学連合大会
    • Place of Presentation
      仙台
    • Year and Date
      2014-10-02 – 2014-10-04
    • Invited
    • Data Source
      KAKENHI-PROJECT-25700029
  • 1.  Miyaki Shigeru (10392490)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 2.  谷 憲三朗 (00183864)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 2 results
  • 3.  鈴木 淳史 (30415195)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 4.  Kadowaki Makoto (20305709)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 3 results
  • 5.  柴原 直利 (10272907)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  東田 千尋 (10272931)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  林 周作 (10548217)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 8.  山本 武 (70316181)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 9.  梅嵜 雅人 (80534370)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 10.  沖米田 司 (90398248)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 11.  土方 康基 (80460856)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 12.  眞田 洋平 (50796117)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 13.  中佐 智幸 (60467769)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 14.  石崎 敏理 (70293876)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 15.  天池 一真 (00866600)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 16.  竹下 潤一 (60574390)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 17.  BERENGER FRANCOIS
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 14 results
  • 18.  小寺 正明
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 3 results
  • 19.  西郷 浩人
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 20.  ZHANG KAM
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 21.  田部井 靖生
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

URL: 

Are you sure that you want to connect your ORCID iD to this researcher?
* This action can be performed only by the researcher themselves.

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi