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自适应 Smith-Waterman 残基匹配种子法用于蛋白质结构比对。

Adaptive Smith-Waterman residue match seeding for protein structural alignment.

机构信息

Université de Toulouse, INSA, UPS, INP, LISBP, 135 Avenue de Rangueil, F-31077, Toulouse, France; CNRS, UMR5504, F-31400, Toulouse, France; INRA, UMR792 Ingénierie des Systèmes Biologiques et des Procédés, F-31400, Toulouse, France.

出版信息

Proteins. 2013 Oct;81(10):1823-39. doi: 10.1002/prot.24327. Epub 2013 Aug 19.

Abstract

The POLYFIT rigid-body algorithm for automated global pairwise and multiple protein structural alignment is presented. Smith-Waterman local alignment is used to establish a set of seed equivalences that are extended using Needleman-Wunsch dynamic programming techniques. Structural and functional interaction constraints provided by evolution are encoded as one-dimensional residue physical environment strings for alignment of highly structurally overlapped protein pairs. Local structure alignment of more distantly related pairs is carried out using rigid-body conformational matching of 15-residue fragments, with allowance made for less stringent conformational matching of metal-ion and small molecule ligand-contact, disulphide bridge, and cis-peptide correspondences. Protein structural plasticity is accommodated through the stepped adjustment of a single empirical distance parameter value in the calculation of the Smith-Waterman dynamic programming matrix. Structural overlap is used both as a measure of similarity and to assess alignment quality. Pairwise alignment accuracy has been benchmarked against that of 10 widely used aligners on the Sippl and Wiederstein set of difficult pairwise structure alignment problems, and more extensively against that of Matt, SALIGN, and MUSTANG in pairwise and multiple structural alignments of protein domains with low shared sequence identity in the SCOP-ASTRAL 40% compendium. The results demonstrate the advantages of POLYFIT over other aligners in the efficient and robust identification of matching seed residue positions in distantly related protein targets and in the generation of longer structurally overlapped alignment lengths. Superposition-based application areas include comparative modeling and protein and ligand design. POLYFIT is available on the Web server at http://polyfit.insa-toulouse.fr.

摘要

本文介绍了一种用于自动化全局两两和多重蛋白质结构比对的 POLYFIT 刚体算法。该算法使用 Smith-Waterman 局部比对来建立一组种子等价物,然后使用 Needleman-Wunsch 动态规划技术进行扩展。进化提供的结构和功能交互约束被编码为一维残基物理环境字符串,用于高度结构重叠的蛋白质对的对齐。对于更远缘的对,使用 15 残基片段的刚体构象匹配进行局部结构比对,并允许金属离子和小分子配体接触、二硫键和顺式肽对应物的构象匹配不那么严格。通过在 Smith-Waterman 动态规划矩阵计算中逐步调整单个经验距离参数值,适应蛋白质结构的可塑性。结构重叠既用作相似性的度量,也用于评估比对质量。在 Sippl 和 Wiederstein 困难的两两结构比对问题集上,我们将 POLYFIT 的比对准确性与 10 种广泛使用的比对器进行了基准测试,并在 SCOP-ASTRAL 40%丛集中低共享序列同一性的蛋白质域的两两和多重结构比对中,更广泛地与 Matt、SALIGN 和 MUSTANG 进行了比较。结果表明,POLYFIT 在有效和稳健地识别远缘蛋白质靶标中的匹配种子残基位置以及生成更长的结构重叠比对长度方面优于其他比对器。基于叠加的应用领域包括比较建模和蛋白质和配体设计。POLYFIT 可在 Web 服务器上获得,网址为 http://polyfit.insa-toulouse.fr。

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