Research Project
Grant-in-Aid for Scientific Research (C)
We achieved the first de novo protein structure determinations in eukaryotes with the sf9 cell that are based exclusively on NMR data from living cells. As model systems, we applied this method to three proteins and determined well-converged 3D structures. A new method for structure determination with Bayesian inference was particularly effective for determining 3D structures with sufficient precision to detect conformational differences between the structures in sf9 cells and in diluted solution. We also developed another new NMR protein structure determination method for the inference of multi-state conformations using multiple types of NMR data. Applying the method to the protein YUH1, we find large dynamics of two loops surrounding the active site for ubiquitin-recognition and proteolysis. Our results, including those from biochemical analysis, showed that large motion surrounding the active site contributes strongly to the efficiency of the enzymatic activity.
創薬研究分野では,蛋白質立体構造情報を利用した構造基盤薬物設計(Structural Based-Drug Discovery; SBDD)が,効率的な薬剤設計法として確立している.本課題のアンサンブル構造解析が確立できれば,生体分子の揺らぎを含めた形で,蛋白質ー低分子化合物,蛋白質間相互作用等を解析可能となり,こうした情報の蓄積によりSBDD研究にも全く新しい知見を提供できる.また,ここで開発した統計解析のソフトウェアの世界への普及、全世界の生体系NMRのグループが本技術を共有できるよう世界に還元していく.
All 2021 2020 2019 2018 Other
All Int'l Joint Research (8 results) Journal Article (7 results) (of which Int'l Joint Research: 5 results, Open Access: 5 results, Peer Reviewed: 6 results) Presentation (25 results) (of which Int'l Joint Research: 8 results, Invited: 5 results) Book (2 results) Remarks (2 results)
biorxiv
Volume: 2021.04.22.440356 Pages: 1-39
10.1101/2021.04.22.440356
Protein Science
Volume: 28 Issue: 11 Pages: 1993-2003
10.1002/pro.3734
international journal of molecular sciences
Volume: 20 Issue: 10 Pages: 2442-2442
10.3390/ijms20102442
日本核磁気共鳴学会学会誌
Volume: 10 Pages: 82-96
Angewandte Chemie International Edition
Volume: in press Issue: 22 Pages: 1-7
10.1002/anie.201900840
Biochim. Biophys. Acta-General Subjects
Volume: 1862 Issue: 2 Pages: 287-306
10.1016/j.bbagen.2017.08.020
Journal of Computer Chemistry, Japan
Volume: 17 Issue: 1 Pages: 65-75
10.2477/jccj.2018-0009
130006555815
https://www.tmu.ac.jp/news/topics/19272.html
http://www.jst.go.jp//pr/announce/20190426/index.html