Updated on 2026/06/15
Therapeutic targets
Medicalinformatics
Bioinformatics
drug repositioning
target repositioning
omics data
TWAS
GWAS
AI-driven drug discovery
Drug discovery
intractable disease
drug synergy
Biomedical Science
deep learning
Therapeutic target
machine learning
rare disease
Life Science / Pharmaceuticals - chemistry and drug development / Drug discovery
Informatics / Biological, health, and medical informatics / Bioinformatics
Nagoya University Graduate School of Informatics Designated Assistant Professor Young Leaders Cultivation (YLC) Designated Assistant Professor
2026.4
Country：Japan
Nagoya University Institute for Advanced Research Designated Assistant Professor Young Leaders Cultivation (YLC) Designated Assistant Professor
2026.4
Country：Japan
Nagoya University Graduate School of Informatics Postdoctoral researcher JSPS special researcher (PD)
2025.4 - 2026.3
Country：Japan
Society for Advancing Knowledge in Rejuvenation and Ageing 海外部スタッフ
2025.8
Committee type：Other
International Society for Computational Biology (ISCB) Student Council (SC) Regional Student Group (RSG)-Japan President
2025.7
Committee type：Academic society
Centennial Doctoral Research Award
2026.3 The 99th Annual Meeting of the Japanese Pharmacological Society Trans-disease prediction of therapeutic targets using genetically perturbed transcriptomes
Satoko Namba
Mechanism-based prediction of drug synergy via network controllability analysis of therapeutic pathways in intractable diseases Reviewed Open Access
Satoko Namba, Mitsuhiro Goda, Yurika Kuniki, Keisuke Ishizawa, Midori Iida, Jun-ichi Takeshita, Yoshihiro Yamanishi
iScience Vol. 29 ( 4 ) page： 115339 - 115339 2026.4
AI- and Data-Driven Drug Discovery Research
Satoko Namba, Yoshihiro Yamanishi（ Role： Contributor , Artificial Intelligence–Based Prediction of Therapeutic Targets for Rare Diseases: Integrative Genomic and Transcriptomic Approaches）
Yodosha 2026.3 （ ISBN:9784758104333 ）
Conference Report: ISMB2025 Invited
Satoko Namba
Japanese Society for Bioinformatics (JSBI) Newsletter No. 48 2026.1
Prediction of Therapeutic Target Molecules for Rare Diseases through the Integration of Genomic and Transcriptomic Data Invited
Satoko Namba
NGS EXPO 2026 2026.10
SYNERGIE: A mechanism-aware framework for identifying clinically actionable drug synergies via multi-layer modeling and network controllability International conference
Satoko Namba, Mitsuhiro Goda, Yurika Kuniki, Keisuke Ishizawa, Midori Iida, Jun-ichi Takeshita, Yoshihiro Yamanishi
The 34nd International Conference on Intelligent Systems for Molecular Biology (ISMB2026) 2026.7.14
Therapeutic Target Discovery for Rare Diseases via Machine Learning Integrating GWAS and TWAS International conference
Satoko Namba, Michio Iwata, Shin-Ichi Nureki, Noriko Yuyama Otani, Yoshihiro Yamanishi
The 34nd International Conference on Intelligent Systems for Molecular Biology (ISMB2026) 2026.7.12
Trans-disease prediction of therapeutic targets using genetically perturbed transcriptomes Invited
Satoko Namba
The 99th Annual Meeting of the Japanese Pharmacological Society 2026.3.18
AI for the Discovery of Drug Target Molecules Invited
Satoko Namba
Public Symposium “AI for Chemical Sciences,” Director-Invited Meeting of the Institute for Molecular Science, Organized by the Chemistry Committee of the Science Council of Japan 2026.6.11 Chemistry Committee of the Science Council of Japan
GWASとTWASの融合による治療標的分子の組み合わせを予測する情報技術の開発
Grant number：25KJ0159 2025.4 - 2028.3
日本学術振興会 科学研究費助成事業 特別研究員奨励費（PD）
難波 里子
Grant type：Competitive
