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

TIAN Yushi  田 雨時

… Alternative Names

田 雨時  ティエン ユイシー

Less
Researcher Number 60761252
Other IDs
  • ORCIDhttps://orcid.org/0000-0002-8988-9453
Affiliation (Current) 2025: 大阪大学, 大学院薬学研究科, 助教
Affiliation (based on the past Project Information) *help 2022 – 2023: 大阪大学, 大学院薬学研究科, 助教
2018 – 2021: 大阪大学, 薬学研究科, 助教
Review Section/Research Field
Except Principal Investigator
Basic Section 47020:Pharmaceutical analytical chemistry and physicochemistry-related / Mathematical Sciences in Search of New Cooperation
Keywords
Except Principal Investigator
化学記述子 / Drug Design / Supervised Learning / United Learning / Computational Chemistry / Machine Learning / 正準相関分析 / PIEDA / 部分最小二乗法 / PLS … More / 重回帰分析 / IFIE / FMO / Chk1阻害剤 / シフト検定法 / グレブナー基底 / 医薬品有害事象 / Random Forest / JADER / 重大副作用 / 多数決法 / ランダムフォレスト / サポートベクターマシン / 副作用予測 / 多変量解析 / ROC曲線 / AI / 重篤希少有害事象 / マルチラベル学習 / スティーブンス・ジョンソン症候群 / 悪性症候群 / Stacking / ATCコード / 機械学習 / 有害事象 Less
  • Research Projects

    (2 results)
  • Research Products

    (6 results)
  • Co-Researchers

    (4 People)
  •  Drug Design using Computational Chemistry and Multiple Supervised Machine Learning Systems based on Correlation between the Systems

    • Principal Investigator
      高木 達也
    • Project Period (FY)
      2020 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 47020:Pharmaceutical analytical chemistry and physicochemistry-related
    • Research Institution
      Osaka University
  •  Modeling for Prediction of Serious Adverse Events Probabilities of Drug Candidates

    • Principal Investigator
      TAKAGI Tatsuya
    • Project Period (FY)
      2015 – 2019
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Mathematical Sciences in Search of New Cooperation
    • Research Institution
      Osaka University

All 2021 2020 2019 2018

All Journal Article Presentation

  • [Journal Article] Computational <i>ab initio</i> interaction analyses between neutralizing antibody and SARS-CoV-2 variant spike proteins using the fragment molecular orbital method2021

    • Author(s)
      Watanabe Kazuki、Watanabe Chiduru、Honma Teruki、Tian Yu-Shi、Kawashima Yusuke、Kawashita Norihito、Fukuzawa Kaori、Takagi Tatsuya
    • Journal Title

      Bulletin of the Chemical Society of Japan

      Volume: 94 Issue: 6 Pages: 1794-1798

    • DOI

      10.1246/bcsj.20210104

    • NAID

      130008066569

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17K08235, KAKENHI-PROJECT-20K06987
  • [Journal Article] Intermolecular Interaction Analyses on SARS-CoV-2 Spike Protein Receptor Binding Domain and Human Angiotensin-Converting Enzyme 2 Receptor-Blocking Antibody/Peptide Using Fragment Molecular Orbital Calculation2021

    • Author(s)
      Kazuki Watanabe, Chiduru Watanabe, Teruki Honma, Yu-Shi Tian, Yusuke Kawashima, Norihito Kawashita, Tatsuya Takagi, Kaori Fukuzawa
    • Journal Title

      J. Phys. Chem. Lett.

      Volume: 12 Issue: 16 Pages: 4059-4066

    • DOI

      10.1021/acs.jpclett.1c00663

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18K06615, KAKENHI-PROJECT-20K06987
  • [Presentation] FMO 計算を用いた SARS-CoV-2 の RBD-中和抗体間の相互作用解析2020

    • Author(s)
      渡邉一樹、川嶋裕介、福澤薫、渡邉千鶴、本間光貴、田雨時、川下理日人、高木達也
    • Organizer
      第48回構造活性相関シンポジウム
    • Data Source
      KAKENHI-PROJECT-20K06987
  • [Presentation] 機械学習を用いた悪性症候群予測モデルの構築2019

    • Author(s)
      望月麻衣、福戸康平、田雨時、高木達也
    • Organizer
      第47回構造活性相関シンポジウム(熊本)
    • Data Source
      KAKENHI-PROJECT-15KT0017
  • [Presentation] Prediction of Serious Adverse Events Using Machine Learning2018

    • Author(s)
      Yushi-Tian, Hirotomo Moriwaki, Hiroaki Moriuchi, Satoshi Aoki, Nobuki Takayama, Norihito Kawashita, Takayuki Hibi, Tatsuya Takagi
    • Organizer
      19th International Conference on Medicinal Chemistry and Multi Targeted Drug Delivery
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15KT0017
  • [Presentation] 機械学習を用いた医薬品の有害事象の予測モデル構築の検討2018

    • Author(s)
      Ni Tao、高木達也、日比孝之、望月麻衣、森脇寛智、田雨時
    • Organizer
      第46回構造活性相関シンポジウム
    • Data Source
      KAKENHI-PROJECT-15KT0017
  • 1.  TAKAGI Tatsuya (80144517)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 5 results
  • 2.  日比 孝之 (80181113)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 3.  岡本 晃典 (70437309)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  川下 理日人 (00423111)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results

URL: 

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi