Development of NMR data analysis methods for proten three-dimensional structure

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K06979
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Structural biochemistry
• Research Institution: Tokyo Metropolitan University
• Principal Investigator: IKEYA TEPPEI 首都大学東京, 理工学研究科, 助教 (30457840)
• Co-Investigator(Renkei-kenkyūsha): ITO Yutaka 首都大学東京, 理工学研究科, 教授 (80261147) ; GUENTERT Peter 首都大学東京, 理工学研究科, 客員教授 (20392110)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: NMR立体構造計算 / ベイズ推定 / in-cell NMR / 高分子量蛋白質 / 蛋白質のダイナミクス

Outline of Final Research Achievements

In this project, we addressed to develop new computational methods for solution NMR with sparse data or low signal to noise ratio. We successfully improved a Bayesian-assisted structure determination method and determined accurate structures of proteins in living cells and a protein which a conventional method could not converge. In addition, we could synthesize a new lanthanide-binding tag that stably incorporates with a protein even in reduction environment such as inside of cells. Using a method of data analysis developed in this project, we could obtain sufficiently large pseudo-contact shifts (PCSs) and long-range structural information of proteins in living cells.

Free Research Field

構造生命科学