Kanada Ryo 金田亮

Researcher Number	40423131
Other IDs	https://orcid.org/0000-0003-1168-0606
Affiliation (Current)	2026: 国立研究開発法人理化学研究所, 計算科学研究センター, 上級技師
Affiliation (based on the past Project Information) *help	2021 – 2022: 国立研究開発法人理化学研究所, 計算科学研究センター, 上級研究員 2020: 国立研究開発法人理化学研究所, 科技ハブ産連本部, 上級研究員 2019: 国立研究開発法人理化学研究所, 科技ハブ産連本部, チームリーダー
Review Section/Research Field	Principal Investigator Basic Section 43020:Structural biochemistry-related
Keywords	Principal Investigator 統計物理 / タンパク質分子モーター / 相互作用ポテンシャル / パラメータ探索の効率化 / 粗視化分子シミュレーション / 動的相関 / 機械学習手法 / 能動学習 / ベイズ最適化 / 機械学習 / 全原子モデル / 粗視化分子モデル

Research Projects
(1 results)
Research Products
(6 results)

Improving Coarse-Grained Molecular Models through the Combination of All-Atom Models and Machine Learning MethodsPrincipal Investigator
- Principal Investigator
  
  Kanada Ryo
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 43020:Structural biochemistry-related
- Research Institution
  Institute of Physical and Chemical Research

All 2022 2020 2019

All Journal Article Presentation

[Journal Article] Enhanced Conformational Sampling with an Adaptive Coarse-Grained Elastic Network Model Using Short-Time All-Atom Molecular Dynamics2022
- Author(s)
  Kanada Ryo、Terayama Kei、Tokuhisa Atsushi、Matsumoto Shigeyuki、Okuno Yasushi
- Journal Title
  
  Journal of Chemical Theory and Computation
  
  Volume: 18 Issue: 4 Pages: 2062-2074
- DOI
  10.1021/acs.jctc.1c01074
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K06535
[Journal Article] Exploring Successful Parameter Region for Coarse-Grained Simulation of Biomolecules by Bayesian Optimization and Active Learning2020
- Author(s)
  Kanada Ryo、Tokuhisa Atsushi、Tsuda Koji、Okuno Yasushi、Terayama Kei
- Journal Title
  
  Biomolecules
  
  Volume: 10 Issue: 3 Pages: 482-482
- DOI
  10.3390/biom10030482
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K06535
[Presentation] Efficient Conformational Sampling with an Adaptive Coarse-Grained Elastic Network Model using Dynamic Cross-Correlation Coefficient2022
- Author(s)
  Ryo Kanada, Kei Terayama, Atsushi Tokuhisa, Shigeyuki Matsumoto, Yasushi Okuno
- Organizer
  The 60th Annual Meeting of the Biophysical Society of Japan
- Data Source
  KAKENHI-PROJECT-19K06535
[Presentation] Efficient Conformational Sampling with an Adaptive Coarse-Grained Elastic Network Model using Bayesian Optimization.2022
- Author(s)
  Ryo Kanada, Kei Terayama, Atsushi Tokuhisa, and Yasushi Okuno
- Organizer
  The 5th R-CCS International Symposium
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K06535
[Presentation] A Heart simulator coupling the molecular dynamics with the finite element model: Cross-scale integration of our knowledge on heart2019
- Author(s)
  Seiryo Sugiura, Ryo Kanada, Takumi Washio, Xiaoke Cui, Jun-ichi Okada, Yasushi Okuno, Toshiaki Hisada
- Organizer
  The 50th NIPS International Symposium ‘MIRACLES’ in Cardiovascular Physiology -Metabolism, Interactions, Regulation, Application, Chemical Biology, Longevity, Exercise and Signaling-
- Data Source
  KAKENHI-PROJECT-19K06535
[Presentation] Cross-linking of UT-Heart simulator and coarse-grained molecular simulation2019
- Author(s)
  Ryo Kanada, Takumi Washio,Seiryo Sugiura,Jun-ichi Okada,Shoji Takada,Yasushi Okuno,and Toshiaki Hisada
- Organizer
  LSACJ2019
- Data Source
  KAKENHI-PROJECT-19K06535

Kanada Ryo 金田 亮

Research Projects

Research Products

Improving Coarse-Grained Molecular Models through the Combination of All-Atom Models and Machine Learning MethodsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Enhanced Conformational Sampling with an Adaptive Coarse-Grained Elastic Network Model Using Short-Time All-Atom Molecular Dynamics2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Exploring Successful Parameter Region for Coarse-Grained Simulation of Biomolecules by Bayesian Optimization and Active Learning2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] Efficient Conformational Sampling with an Adaptive Coarse-Grained Elastic Network Model using Dynamic Cross-Correlation Coefficient2022

Author(s)

Organizer

Data Source

[Presentation] Efficient Conformational Sampling with an Adaptive Coarse-Grained Elastic Network Model using Bayesian Optimization.2022

Author(s)

Organizer

Data Source

[Presentation] A Heart simulator coupling the molecular dynamics with the finite element model: Cross-scale integration of our knowledge on heart2019

Author(s)

Organizer

Data Source

[Presentation] Cross-linking of UT-Heart simulator and coarse-grained molecular simulation2019

Author(s)

Organizer

Data Source

Kanada Ryo 金田亮