Protein Modeling with DEER Spectroscopy.

IF 10.4 1区 生物学 Q1 BIOPHYSICS
Maxx H Tessmer, Stefan Stoll
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引用次数: 0

Abstract

Double electron-electron resonance (DEER) combined with site-directed spin labeling can provide distance distributions between selected protein residues to investigate protein structure and conformational heterogeneity. The utilization of the full quantitative information contained in DEER data requires effective protein and spin label modeling methods. Here, we review the application of DEER data to protein modeling. First, we discuss the significance of spin label modeling for accurate extraction of protein structural information and review the most popular label modeling methods. Next, we review several important aspects of protein modeling with DEER, including site selection, how DEER restraints are applied, common artifacts, and the unique potential of DEER data for modeling structural ensembles and conformational landscapes. Finally, we discuss common applications of protein modeling with DEER data and provide an outlook.

利用 DEER 光谱建立蛋白质模型。
双电子-电子共振(dual electron-electron resonance, DEER)结合定点自旋标记技术可以提供所选蛋白质残基之间的距离分布,从而研究蛋白质的结构和构象异质性。利用DEER数据中包含的全部定量信息需要有效的蛋白质和自旋标签建模方法。本文综述了DEER数据在蛋白质建模中的应用。首先,我们讨论了自旋标签建模对准确提取蛋白质结构信息的意义,并回顾了目前最流行的标签建模方法。接下来,我们回顾了用DEER进行蛋白质建模的几个重要方面,包括位点选择、如何应用DEER约束、常见的人工产物以及DEER数据在结构集成和构象景观建模方面的独特潜力。最后,讨论了利用DEER数据进行蛋白质建模的常见应用,并对其进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annual Review of Biophysics
Annual Review of Biophysics 生物-生物物理
CiteScore
21.00
自引率
0.00%
发文量
25
期刊介绍: The Annual Review of Biophysics, in publication since 1972, covers significant developments in the field of biophysics, including macromolecular structure, function and dynamics, theoretical and computational biophysics, molecular biophysics of the cell, physical systems biology, membrane biophysics, biotechnology, nanotechnology, and emerging techniques.
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