Torsion angles to map and visualize the conformational space of a protein

被引:5
作者
Ginn, Helen Mary [1 ,2 ,3 ,4 ]
机构
[1] Diamond Light Source Ltd, Div Life Sci, Harwell Sci & Innovat Campus, Didcot, England
[2] Ctr Free Electron Laser Sci CFEL, Deutsch Elektronen Synchrotron DESY, Hamburg, Germany
[3] Univ Hamburg, Inst Nanostruct & Solid State Phys, Hamburg, Germany
[4] Diamond Light Source Ltd, Harwell Sci & Innovat Campus, Didcot OX11 0DE, England
关键词
conformational space; cluster analysis; multi-dataset analysis; protein structure; ROOM-TEMPERATURE; RESOLUTION;
D O I
10.1002/pro.4608
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Present understanding of protein structure dynamics trails behind that of static structures. A torsion-angle-based approach, called the representation of protein entities, derives an interpretable conformational space that correlates with data collection temperature, resolution, and reaction coordinate. For more complex systems, atomic coordinates fail to separate functional conformational states, which are still preserved by torsion angle-derived space. This indicates that torsion angles are often a more sensitive and biologically relevant descriptor for protein conformational dynamics than atomic coordinates.
引用
收藏
页数:12
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