Iwata Hiroaki 岩田浩明

Researcher Number	40613328
Other IDs	https://orcid.org/0000-0001-9791-0008
Affiliation (Current)	2026: 鳥取大学, 医学部, 教授
Affiliation (based on the past Project Information) *help	2024 – 2026: 鳥取大学, 医学部, 教授 2021 – 2023: 京都大学, 医学研究科, 特定准教授 2018 – 2020: 京都大学, 医学研究科, 特定助教
Review Section/Research Field	Principal Investigator Transformative Research Areas, Section (II) / Basic Section 62010:Life, health and medical informatics-related Except Principal Investigator Medium-sized Section 59:Sports sciences, physical education, health sciences, and related fields / Basic Section 53010:Gastroenterology-related
Keywords	Principal Investigator 人工知能 / 分子動力学シミュレーション / 薬物動態 / 化合物特性 / 医療 / 創薬 / ディープラーニング / 苦味 / 進化 / シミュレーション … More / 化合物探索 / ポケット構造 / 低分子化合物 / ドッキングシミュレーション / 最適化アルゴリズム / ドラッガブルポケット … More Except Principal Investigator 骨格筋 / 運動 / 一次繊毛 / マッスルメモリー / 非酵素的翻訳後修飾 / イメージング / 糖化 / 老化 / イメージング・マスサイトメトリー / IMC / イメージングマスサイトメトリー / RAGE / AGEs / 糖化ストレス / 分子シミュレーション / 細胞周期 / 薬剤耐性 / 抗癌剤 / 抗がん薬 / CDKN3 / 大腸癌 / 食道癌 Less

異種データ統合型AIによる潜在空間分子の高精度評価基盤Principal Investigator
- Principal Investigator
  
  岩田浩明
- Project Period (FY)
  2026 – 2027
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (II)
- Research Institution
  Tottori University
細胞アンテナ「一次繊毛」のマッスルメモリーへの関与検証およびAI創薬への展開
- Principal Investigator
  
  江川達郎
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  Medium-sized Section 59:Sports sciences, physical education, health sciences, and related fields
- Research Institution
  Kyoto University
潜在空間から生成された化合物評価のためのAIモデル構築Principal Investigator
- Principal Investigator
  
  岩田浩明
- Project Period (FY)
  2024 – 2025
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (II)
- Research Institution
  Tottori University
非酵素的翻訳後修飾の可視化から骨格筋の老化を「見る」
- Principal Investigator
  
  江川達郎
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Challenging Research (Pioneering)
- Review Section
  
  Medium-sized Section 59:Sports sciences, physical education, health sciences, and related fields
- Research Institution
  Kyoto University
Constructing a Fusion Framework of AI, Simulation, and Evolutionary Analysis in Bitter Taste ReceptorPrincipal Investigator
- Principal Investigator
  
  Iwata Hiroaki
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 62010:Life, health and medical informatics-related
- Research Institution
  Kyoto University
CDKN3 as a new target of anti-cancer treatment overcoming the resistance to cytotoxic chemotherapy
- Principal Investigator
  
  MATSUBARA JUNICHI
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 53010:Gastroenterology-related
- Research Institution
  Kyoto University
最適化アルゴリズムを用いたドラッガブルポケット構造の高速探索手法の開発Principal Investigator
- Principal Investigator
  
  岩田浩明
- Project Period (FY)
  2018 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
- Research Institution
  Kyoto University

All 2025 2024 2023 2022 2021 2020 2019

All Journal Article Presentation

[Journal Article] Machine Learning Prediction and Validation of Plasma Concentration Time Profiles2025
- Author(s)
  Hiroaki Iwata, Michiharu Kageyama, Koichi Handa
- Journal Title
  
  Molecular Pharmaceutics
  
  Volume: - Issue: 6 Pages: 2976-2984
- DOI
  10.1021/acs.molpharmaceut.4c01431
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PUBLICLY-24H01771
[Journal Article] Transforming drug discovery: the impact of AI and molecular simulation on R&D efficiency2024
- Author(s)
  Iwata Hiroaki
- Journal Title
  
  Bioanalysis
  
  Volume: 16 Issue: 23-24 Pages: 1211-1217
- DOI
  10.1080/17576180.2024.2437283
- Peer Reviewed
- Data Source
  KAKENHI-PUBLICLY-24H01771
[Journal Article] Accelerating virtual patient generation with a Bayesian optimization and machine learning surrogate model2024
- Author(s)
  Iwata Hiroaki、Saito Ryuta
- Journal Title
  
  CPT: Pharmacometrics & Systems Pharmacology
  
  Volume: 14 Issue: 3 Pages: 486-494
- DOI
  10.1002/psp4.13288
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PUBLICLY-24H01771
[Journal Article] Application of In Silico Technologies for Drug Target Discovery and Pharmacokinetic Analysis2023
- Author(s)
  Hiroaki Iwata
- Journal Title
  
  Chemical and Pharmaceutical Bulletin
  
  Volume: Vol. 71 No. 6
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K12063
[Journal Article] An in silico Approach for Integrating Phenotypic and Target‐based Approaches in Drug Discovery2019
- Author(s)
  Iwata Hiroaki、Kojima Ryosuke、Okuno Yasushi
- Journal Title
  
  Molecular Informatics
  
  Volume: 39 Issue: 1-2 Pages: 1900096-1900096
- DOI
  10.1002/minf.201900096
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PUBLICLY-18H04617
[Presentation] 創薬開発プロセスへのIT技術適用2022
- Author(s)
  岩田浩明
- Organizer
  一般社団法人製剤機械技術学会, 第30回講演会
- Invited
- Data Source
  KAKENHI-PROJECT-20K12063
[Presentation] Machine learning-based method for integrating phenotypic and target-based approaches in drug discovery2021
- Author(s)
  Hiroaki Iwata and Yasushi Okuno
- Organizer
  2021 International Chemical Congress of Pacific Basin Societies
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K12063
[Presentation] Application of artificial intelligence for drug repositioning2020
- Author(s)
  岩田浩明
- Organizer
  第93回薬理学会
- Invited
- Data Source
  KAKENHI-PUBLICLY-18H04617
[Presentation] An in silico approach for integrating phenotypic and target-based approaches in drug discovery2019
- Author(s)
  Hiroaki Iwata, Ryosuke Kojima, Yasushi Okuno
- Organizer
  情報計算化学生物学会2019年大会
- Data Source
  KAKENHI-PUBLICLY-18H04617
[Presentation] Computational drug target prediction using PU learning approach2019
- Author(s)
  Kazuto Nakata, Hiroaki Iwata, Takeshi Fujiwara, Mari Ito
- Organizer
  情報計算化学生物学会2019年大会
- Data Source
  KAKENHI-PUBLICLY-18H04617

1. 江川達郎 (00722331)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
2. 後藤勝正 (70239961)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
3. MATSUBARA JUNICHI (40782371)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 横川拓海 (80844323)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Iwata Hiroaki 岩田 浩明

Research Projects

Research Products

Co-Researchers

異種データ統合型AIによる潜在空間分子の高精度評価基盤Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

細胞アンテナ「一次繊毛」のマッスルメモリーへの関与検証およびAI創薬への展開

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

潜在空間から生成された化合物評価のためのAIモデル構築Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

非酵素的翻訳後修飾の可視化から骨格筋の老化を「見る」

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Constructing a Fusion Framework of AI, Simulation, and Evolutionary Analysis in Bitter Taste ReceptorPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

CDKN3 as a new target of anti-cancer treatment overcoming the resistance to cytotoxic chemotherapy

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

最適化アルゴリズムを用いたドラッガブルポケット構造の高速探索手法の開発Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Institution

[Journal Article] Machine Learning Prediction and Validation of Plasma Concentration Time Profiles2025

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Transforming drug discovery: the impact of AI and molecular simulation on R&amp;D efficiency2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Accelerating virtual patient generation with a Bayesian optimization and machine learning surrogate model2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Application of In Silico Technologies for Drug Target Discovery and Pharmacokinetic Analysis2023

Author(s)

Journal Title

Data Source

[Journal Article] An in silico Approach for Integrating Phenotypic and Target‐based Approaches in Drug Discovery2019

Author(s)

Journal Title

DOI

Data Source

[Presentation] 創薬開発プロセスへのIT技術適用2022

Author(s)

Organizer

Data Source

[Presentation] Machine learning-based method for integrating phenotypic and target-based approaches in drug discovery2021

Author(s)

Organizer

Data Source

[Presentation] Application of artificial intelligence for drug repositioning2020

Author(s)

Organizer

Iwata Hiroaki 岩田浩明

[Journal Article] Transforming drug discovery: the impact of AI and molecular simulation on R&D efficiency2024