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蛋白质α-螺旋片段内部的氨基酸对和三联体分组。

Amino acid pair- and triplet-wise groupings in the interior of α-helical segments in proteins.

作者信息

de Sousa Miguel M, Munteanu Cristian R, Pazos Alejandro, Fonseca Nuno A, Camacho Rui, Magalhães A L

机构信息

REQUIMTE/University of Porto, Faculty of Sciences, R. Campo Alegre 687, 4169-007 Porto, Portugal.

REQUIMTE/University of Porto, Faculty of Sciences, R. Campo Alegre 687, 4169-007 Porto, Portugal; Computer Science Faculty, University of A Coruña, Campus de Elviña S/N, 15071A Coruña, Spain.

出版信息

J Theor Biol. 2011 Feb 21;271(1):136-44. doi: 10.1016/j.jtbi.2010.11.028. Epub 2010 Dec 2.

Abstract

A statistical approach has been applied to analyse primary structure patterns at inner positions of α-helices in proteins. A systematic survey was carried out in a recent sample of non-redundant proteins selected from the Protein Data Bank, which were used to analyse α-helix structures for amino acid pairing patterns. Only residues more than three positions apart from both termini of the α-helix were considered as inner. Amino acid pairings i, i+k (k=1, 2, 3, 4, 5), were analysed and the corresponding 20×20 matrices of relative global propensities were constructed. An analysis of (i, i+4, i+8) and (i, i+3, i+4) triplet patterns was also performed. These analysis yielded information on a series of amino acid patterns (pairings and triplets) showing either high or low preference for α-helical motifs and suggested a novel approach to protein alphabet reduction. In addition, it has been shown that the individual amino acid propensities are not enough to define the statistical distribution of these patterns. Global pair propensities also depend on the type of pattern, its composition and orientation in the protein sequence. The data presented should prove useful to obtain and refine useful predictive rules which can further the development and fine-tuning of protein structure prediction algorithms and tools.

摘要

一种统计方法已被应用于分析蛋白质中α螺旋内部位置的一级结构模式。在最近从蛋白质数据库中选取的非冗余蛋白质样本中进行了系统的调查,这些样本被用于分析α螺旋结构的氨基酸配对模式。只有与α螺旋两端距离超过三个位置的残基才被视为内部残基。分析了氨基酸配对i, i+k(k = 1, 2, 3, 4, 5),并构建了相应的20×20相对全局倾向矩阵。还对(i, i+4, i+8)和(i, i+3, i+4)三联体模式进行了分析。这些分析产生了一系列关于氨基酸模式(配对和三联体)的信息,这些模式对α螺旋基序表现出高或低的偏好,并提出了一种减少蛋白质字母表的新方法。此外,研究表明,单个氨基酸倾向不足以定义这些模式的统计分布。全局配对倾向还取决于模式的类型、其在蛋白质序列中的组成和方向。所呈现的数据应有助于获得和完善有用的预测规则,从而推动蛋白质结构预测算法和工具的发展与优化。

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