Yoshihiro Yamanishi
Scholar

Yoshihiro Yamanishi

Google Scholar ID: y9Qo1t7ha0sC
Nagoya University
BioinformaticsChemoinformaticsDrug discoveryMachine LearningArtificial Intelligence
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Citations & Impact
All-time
Citations
6,637
 
H-index
27
 
i10-index
68
 
Publications
20
 
Co-authors
0
 
Publications
3 items
A Reinforcement Learning-Driven Transformer GAN for Molecular Generation
2025
Cited
0
Gx2Mol: De Novo Generation of Hit-like Molecules from Gene Expression Profiles via Deep Learning
2024
Cited
0
Molecular Generative Adversarial Network with Multi-Property Optimization
arXiv.org · 2024
Cited
1
Resume
Academic Achievements
  • Published numerous high-impact papers in journals such as Nature Communications and iScience; developed innovative AI tools like TRESOR (target prediction AI); received various academic awards, including the Student Excellent Presentation Award from the Japanese Pharmacological Society and the APPW2025 Young Investigator Award.
Research Experience
  • Leads multiple research projects, including AI for predicting drug targets based on omics data, AI for designing multi-target compounds, and generative AI for compound structure design using gene expression profiles.
Background
  • Conducts research in the analysis of big data in medicine, pharmacy, and life sciences, including bioinformatics and chemoinformatics. Focused on AI-driven drug discovery (AI drug discovery), precision medicine, regenerative medicine, and preventive medicine.
Miscellany
  • Actively participates in various academic conferences and seminars, and holds important positions in international organizations, such as ISCB Board of Directors and JSBi President.