Esaki Tsuyoshi 江崎剛史

Researcher Number	20717805
Other IDs	https://orcid.org/0000-0001-8780-6346
Affiliation (Current)	2025: 滋賀大学, データサイエンス学系, 准教授
Affiliation (based on the past Project Information) *help	2022 – 2023: 滋賀大学, データサイエンス学系, 准教授 2020 – 2021: 滋賀大学, データサイエンス教育研究センター, 准教授
Review Section/Research Field	Principal Investigator Basic Section 47060:Clinical pharmacy-related
Keywords	Principal Investigator 情報科学 / 構造記述子 / ADME / 機械学習 / 構造生成 / 化学系薬学 / インシリコ / 転移学習 / 吸収率 / in silico / ADMET

Research Projects
(2 results)
Research Products
(3 results)

薬物動態の特性を向上させる化合物生成方法の開発Principal Investigator
- Principal Investigator
  
  江崎剛史
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 47060:Clinical pharmacy-related
- Research Institution
  Shiga University
Development of bioavailability prediction model: Transfer leaning model constructed from curated in vitro dataPrincipal Investigator
- Principal Investigator
  
  Esaki Tsuyoshi
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 47060:Clinical pharmacy-related
- Research Institution
  Shiga University

All 2024 2023 2022

All Journal Article

[Journal Article] A new workflow for the effective curation of membrane permeability data from open ADME information2024
- Author(s)
  Tsuyoshi Esaki, Tomoki Yonezawa, Kazuyoshi Ikeda
- Journal Title
  
  Journal of Cheminformatics
  
  Volume: 16 Issue: 1 Pages: 30-30
- DOI
  10.1186/s13321-024-00826-z
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K14382
[Journal Article] Difficulties and prospects of data curation for ADME <i>in silico</i> modeling2023
- Author(s)
  Tsuyoshi Esaki, Kazuyoshi Ikeda
- Journal Title
  
  Chem-Bio Informatics Journal
  
  Volume: 23 Issue: 0 Pages: 1-6
- DOI
  10.1273/cbij.23.1
- ISSN
  1347-0442, 1347-6297
- Year and Date
  2023-01-13
- Language
  English
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K16075
[Journal Article] Prediction Models for Fraction of Absorption and Membrane Permeability using Mordred Descriptors2022
- Author(s)
  Tsuyoshi Esaki, Tomoki Yonezawa, Daisuke Yamazaki, Kazuyoshi Ikeda
- Journal Title
  
  Chem-Bio Informatics Journal
  
  Volume: 22 Issue: 0 Pages: 46-54
- DOI
  10.1273/cbij.22.46
- ISSN
  1347-0442, 1347-6297
- Year and Date
  2022-09-09
- Language
  English
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K16075