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复发蛋白局部结构中局部氨基酸序列的共变分析

Covariation analysis of local amino acid sequences in recurrent protein local structures.

作者信息

Wang Lu-Yong

机构信息

Integrated Data Systems Department, Siemens Corporate Research and Center for Computational Biology & Bioingormatics, Columbia University, 755, College Road East, Princeton, New Jersey 08540, USA.

出版信息

J Bioinform Comput Biol. 2005 Dec;3(6):1391-409. doi: 10.1142/s0219720005001648.

Abstract

Local structural information is supposed to be frequently encoded in local amino acid sequences. Previous research only indicated that some local structure positions have specific residue preferences in some particular local structures. However, correlated pairwise replacements for interacting residues in recurrent local structural motifs from unrelated proteins have not been studied systematically. We introduced a new method fusing statistical covariation analysis and local structure-based alignment. Systematic analysis of structure-based multiple alignments of recurrent local structures from unrelated proteins in representative subset of Protein Databank indicates that covarying residue pairs with statistical significance exist in local structural motifs, in particular beta-turns and helix caps. These residue pairs are mostly linked through polar functional groups with direct or indirect hydrogen bonding. Hydrophobic interaction is also a major factor in constraining pairwise amino acid residue replacement in recurrent local structures. We also found correlated residue pairs that are not clearly linked with through-space interactions. The physical constrains underlying these covariations are less clear. Overall, covarying residue pairs with statistical significance exist in local structures from unrelated proteins. The existence of sequence covariations in local structural motifs from unrelated proteins indicates that many relics of local relations are still retained in the tertiary structures after protein folding. It supports the notion that some local structural information is encoded in local sequences and the local structural codes could play important roles in determining native state protein folding topology.

摘要

局部结构信息被认为经常编码在局部氨基酸序列中。先前的研究仅表明,在某些特定的局部结构中,一些局部结构位置具有特定的残基偏好。然而,来自不相关蛋白质的重复局部结构基序中相互作用残基的相关成对替换尚未得到系统研究。我们引入了一种融合统计共变分析和基于局部结构比对的新方法。对蛋白质数据库代表性子集中不相关蛋白质的重复局部结构进行基于结构的多序列比对的系统分析表明,在局部结构基序中存在具有统计学意义的共变残基对,特别是在β转角和螺旋帽中。这些残基对大多通过具有直接或间接氢键的极性官能团相连。疏水相互作用也是限制重复局部结构中氨基酸残基成对替换的一个主要因素。我们还发现了一些与空间相互作用没有明显联系的相关残基对。这些共变背后的物理约束尚不清楚。总体而言,在不相关蛋白质的局部结构中存在具有统计学意义的共变残基对。来自不相关蛋白质的局部结构基序中序列共变的存在表明,许多局部关系的遗迹在蛋白质折叠后的三级结构中仍然保留。这支持了这样一种观点,即一些局部结构信息编码在局部序列中,并且局部结构密码可能在决定天然态蛋白质折叠拓扑结构中发挥重要作用。

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