2017 Fiscal Year Final Research Report
Development of NMR data analysis methods for proten three-dimensional structure
Project/Area Number |
15K06979
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Structural biochemistry
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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)
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Project Period (FY) |
2015-04-01 – 2018-03-31
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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.
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Free Research Field |
構造生命科学
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