SBRC Cryo-EM International Seminar 19

開催日時

2024/10/23(水)16:00〜17:30

開催場所

Hybrid (CryoEM-Lab KEK and Zoom)

講演者

Tsukasa Nakamura, PhD :Structural Biology Research Center, Institute of Materials Structure Science, High Energy Accelerator Research Organization (KEK), Japan formerly: Biological Sciences, Purdue University, USA

言語

English

お問い合わせ

構造生物学研究センター



Abstract

Cryogenic electron microscopy (cryo-EM) has become one of the main experimental methods for determining protein structures. In cryo-EM, protein structure modeling is in general more difficult than X-ray crystallography as the resolution of maps is often not high enough to specify atom positions. We have been developing computational methods for modeling protein structures from cryo-EM maps determined at a medium resolution (2.5-5 Å). For maps at medium resolution, it turned out that deep learning can provide useful structure information for modeling and protein model quality assessment. In this seminar, we present deep learning applications in protein structure modeling (DeepMainmast) and protein model quality assessment (DAQ score) along with the large-scale analysis results of the quality of protein models from cryo-EM in the Protein Data Bank, which is accessible at DAQ-Score Database https://daqdb.kiharalab.org/. All the tools we developed are easy to use at https://em.kiharalab.org/.


Profile

2019                     Ph.D. (Science) in Bioinformatics, The University of Tokyo, Japan

2019-2022             Postdoctoral Fellow (JSPS(PD)), Tohoku University, Japan

2022-2024.6          Postdoctoral Research Associate, Purdue University, USA

2024.7-current        Postdoctoral Research Fellow, KEK IMSS SBRC, Japan