Tatsuya Yoshizawa
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  • 日本語
  • 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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    • Pandas
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Molecular Generation Using a Diffusion Model-Based Binding Affinity Prediction Method

Sep 5, 2025·
Tatsuya Yoshizawa
,
Tomohiro Sato
,
Masateru Ohta
,
Teruki Honma
,
Kei Terayama
· 0 min read
Publication
53rd Symposium on Structure–Activity Relationships. 2025/9/5
Date
Sep 5, 2025 12:00 AM
Last updated on Sep 5, 2025
← Molecule Generation with Boltz-2: A Case Study on Kinase Inhibitor Design Oct 28, 2025
Introduction to DyRAMO: A Strategy for Reliable Data-Driven Molecular Design Aug 21, 2025 →
Languages:
English
日本語

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