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扭转角用于绘制和可视化蛋白质的构象空间。

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

机构信息

Division of Life Sciences, Diamond Light Source Ltd, Harwell Science and Innovation Campus, Didcot, UK.

Center for Free-Electron Laser Science CFEL, Deutsches Elektronen-Synchrotron DESY, Hamburg, Germany.

出版信息

Protein Sci. 2023 Apr;32(4):e4608. doi: 10.1002/pro.4608.

Abstract

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.

摘要

目前,人们对蛋白质结构动力学的理解落后于对静态结构的理解。一种基于扭转角的方法,称为蛋白质实体表示法,推导出一个可解释的构象空间,该空间与数据采集温度、分辨率和反应坐标相关。对于更复杂的系统,原子坐标无法分离功能构象状态,而这些状态仍然由扭转角衍生空间保留。这表明,与原子坐标相比,扭转角通常是蛋白质构象动力学更敏感和更具生物学相关性的描述符。

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