Updated on 2026/08/31
intractable disease
drug synergy
Biomedical Science
deep learning
Therapeutic target
machine learning
rare disease
Drug discovery
Therapeutic targets
Medicalinformatics
Bioinformatics
drug repositioning
target repositioning
omics data
TWAS
GWAS
AI-driven drug discovery
aging
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, Tenure Track
2026.4
Country：Japan
Nagoya University Institute for Advanced Research Designated Assistant Professor Young Leaders Cultivation (YLC) Designated Assistant Professor, Tenure Track
2026.4
Country：Japan
Nagoya University Graduate School of Informatics Postdoctoral researcher JSPS special researcher (PD)
2025.4 - 2026.3
Country：Japan
The Molecular Biology Society for Japan
2025
The Japanese Pharmacological Society
2024
International Society for Computational Biology
2022
Japanese Society for Bioinformatics
2020
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
Predicting patient prognosis based on the biological age of cancer tissues
Yohey Kamijo, Satoko Namba, Tsukasa Nabekura, Issei Imoto, Yoshihiro Yamanishi
Informatics in Biology, Medicine and Pharmacology 2026 2026.8.27
ISCB Student Council RSG-Japan: Connecting Early-Career Researchers in Japan to the World
Satoko Namba
Informatics in Biology, Medicine and Pharmacology 2026 2026.8.26
SYNERGIE: integrating multiomics networks and controllability analysis for drug synergy prediction in intractable diseases
Satoko Namba, Mitsuhiro Goda, Yurika Kuniki, Keisuke Ishizawa, Midori Iida, Jun-ichi Takeshita, Yoshihiro Yamanishi
Informatics in Biology, Medicine and Pharmacology 2026 2026.8.27
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
Development of an AI Framework for Therapeutic Target Discovery in Intractable Diseases Using Multi-layer Omics Data
2026.4 - 2027.3
Nagoya University YLC Assistant Professor Startup Research Fund
Authorship：Principal investigator
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
Young Researchers, Be Ambitious! Take Your Research to the World—International Conference Presentation Grand Pix
Role(s)：Planning, management, etc.
ISCB SC RSG-Japan 2026.8
