Tatsuya Yoshizawa
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  • Publications
    • Generalizing molecular design via flexible search space control
    • A data-driven generative strategy to avoid reward hacking in multi-objective molecular design
    • ChemTSv2: Functional molecular design using de novo molecule generator
    • Selective Inhibitor Design for Kinase Homologs Using Multiobjective Monte Carlo Tree Search
  • Talks
    • Multi-Objective Optimization of Molecular Properties Integrating Boltz-2 and Pharmacokinetic Prediction
    • A generative strategy for reliable data-driven design of functional molecules
    • Molecule Generation with Boltz-2: A Case Study on Kinase Inhibitor Design
    • Molecular Generation Using a Diffusion Model-Based Binding Affinity Prediction Method
    • Introduction to DyRAMO: A Strategy for Reliable Data-Driven Molecular Design
    • Multi-Objective Molecular Optimization Considering the Reliability of Multiple Property Prediction Models
    • Multi-objective Molecular Structure Generation Using Dynamic Applicability Domains Adaptation
    • Design of Kinase-Selective Inhibitors Using a Reinforcement Learning-Based Molecular Generation Method
    • Design of Selective Inhibitors Using a Reinforcement Learning-Based Molecular Generation Method
    • Design of Selective Inhibitors Using ChemTS through Dscore-Based Multi-Objective Optimization
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Design of Selective Inhibitors Using ChemTS through Dscore-Based Multi-Objective Optimization

Nov 18, 2021·
Tatsuya Yoshizawa
,
Shoichi Ishida
,
Tomohiro Sato
,
Kei Terayama
· 0 min read
Publication
49th Symposium on Structure–Activity Relationships. 2021/11/18
Date
Nov 18, 2021 12:00 AM
Last updated on Nov 18, 2021
← Design of Selective Inhibitors Using a Reinforcement Learning-Based Molecular Generation Method Sep 14, 2022
Languages:
English
日本語

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