Session Details
[S61☆]The Next Frontier in Protein Structure: Integrating PDBj, Quantum Chemistry, and AI
Sun. Mar 29, 2026 1:10 PM - 3:10 PM JST
Sun. Mar 29, 2026 4:10 AM - 6:10 AM UTC
Sun. Mar 29, 2026 4:10 AM - 6:10 AM UTC
Room 17 (A201, Bldg. 1, Area 3 [2F])
Organizer: Kaori Fukuzawa (Grad. Sch. Pharm. Sci., Univ. Osaka), Teruki Honma (RIKEN), Koichiro Kato (Kyushu Univ.)
Protein three-dimensional structures are registered in the Protein Data Bank and used by researchers worldwide. However, in recent years, structure prediction, exemplified by AlphaFold, has also become widespread. Once a structure is obtained, precise analysis using computational chemistry becomes possible, leading to increase in the structural information currently accessible to researchers. Meanwhile, the Fragment Molecular Orbital (FMO) method, a theoretical approach originating in Japan, not only enables quantum chemical calculations for entire proteins but also provides detailed interaction information for protein-ligand and protein-protein interactions. This makes it well-suited for understanding structures and rational drug discovery. To date, we have performed all-electron calculations on tens of thousands of protein structures using supercomputers and have made the FMO database (FMODB) publicly available since 2019.
This symposium will provide an overview of FMODB and its data structure, present the latest topics on AI utilization, applications in structural biology research, and collaboration with PDBj, and serve as a forum for discussing future developments.
This symposium will provide an overview of FMODB and its data structure, present the latest topics on AI utilization, applications in structural biology research, and collaboration with PDBj, and serve as a forum for discussing future developments.
[S61-1]Fragment Molecular Orbital (FMO) Method and Structural Biology
○Kaori Fukuzawa1 (1. Grad Sch & Sch Pharm Sci, Univ. Osaka)
[S61-2]Advancing Data Science with the Protein Data Bank (PDB) and Its Applications in Drug Discovery
○Genji Kurisu1,2 (1. Inst Prot Res, Univ. Osaka, 2. Prot Res Foundation)
[S61-3]A new integrative tool for exploring chemical compounds in thePDB
○Gert-Jan Bekker1 (1. Univ. Osaka, PDBj)
[S61-4]Current status and recent trends in FMODB, the FMO-based quantum chemical database for biomacromolecules
○Daisuke Takaya1 (1. Grad Sch & Sch Pharm Sci, Univ. Osaka)
[S61-5]Development of Machine Learning Models Using FMO Data
○Koichiro Kato1 (1. Kyushu Univ.)
[S61-6]Use of FMO to refine and interpret cryo-EM structures
○Toru Sengoku1 (1. Yokohama City Univ. Sch. Med.)
[S61-7]The World Revealed Through the Integration of Protein Structure, AI, and Simulation
○Teruki Honma1 (1. RIKEN)
