用最近邻模型分析串联重复蛋白折叠。

IF 10.4 1区 生物学 Q1 BIOPHYSICS
Annual Review of Biophysics Pub Date : 2021-05-06 Epub Date: 2021-02-19 DOI:10.1146/annurev-biophys-102220-083020
Mark Petersen, Doug Barrick
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引用次数: 6

摘要

协同性是蛋白质折叠的标志,但协同性的热力学起源很难量化。串联重复序列蛋白由于其内部对称性和对缺失、延伸的耐受性,以及在某些情况下断裂成单重复序列,为量化协同性提供了一个独特的实验系统。用最近邻Ising模型分析不同长度的重复序列蛋白,为重复折叠([公式:见文本])和重复序列间耦合(ΔGi-1,i)提供了数值。在本文中,我们回顾了重复蛋白的结构,并按ΔGi和ΔGi-1,i;这种分类方案根据它们的协同程度对重复蛋白进行分组。然后,我们提出了基于1D-Ising模型的各种统计热力学模型,用于分析不同类别的重复蛋白。我们使用这些模型来分析高度和中度合作和非合作重复蛋白的数据,并将它们的拟合参数与整体结构特征联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Tandem Repeat Protein Folding Using Nearest-Neighbor Models.

Cooperativity is a hallmark of protein folding, but the thermodynamic origins of cooperativity are difficult to quantify. Tandem repeat proteins provide a unique experimental system to quantify cooperativity due to their internal symmetry and their tolerance of deletion, extension, and in some cases fragmentation into single repeats. Analysis of repeat proteins of different lengths with nearest-neighbor Ising models provides values for repeat folding ([Formula: see text]) and inter-repeat coupling (ΔGi-1,i). In this article, we review the architecture of repeat proteins and classify them in terms of ΔGi and ΔGi-1,i; this classification scheme groups repeat proteins according to their degree of cooperativity. We then present various statistical thermodynamic models, based on the 1D-Ising model, for analysis of different classes of repeat proteins. We use these models to analyze data for highly and moderately cooperative and noncooperative repeat proteins and relate their fitted parameters to overall structural features.

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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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