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Alignment of multiple protein structures based on sequence and structure features

机译:基于序列和结构特征的多种蛋白质结构比对

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摘要

Comparing the structures of proteins is crucial to gaining insight into protein evolution and function. Here, we align the sequences of multiple protein structures by a dynamic programming optimization of a scoring function that is a sum of an affine gap penalty and terms dependent on various sequence and structure features (SALIGN). The features include amino acid residue type, residue position, residue accessible surface area, residue secondary structure state and the conformation of a short segment centered on the residue. The multiple alignment is built by following the ‘guide’ tree constructed from the matrix of all pairwise protein alignment scores. Importantly, the method does not depend on the exact values of various parameters, such as feature weights and gap penalties, because the optimal alignment across a range of parameter values is found. Using multiple structure alignments in the HOMSTRAD database, SALIGN was benchmarked against MUSTANG for multiple alignments as well as against TM-align and CE for pairwise alignments. On the average, SALIGN produces a 15% improvement in structural overlap over HOMSTRAD and 14% over MUSTANG, and yields more equivalent structural positions than TM-align and CE in 90% and 95% of cases, respectively. The utility of accurate multiple structure alignment is illustrated by its application to comparative protein structure modeling.
机译:比较蛋白质的结构对于深入了解蛋白质的进化和功能至关重要。在这里,我们通过评分功能的动态编程优化来比对多个蛋白质结构的序列,评分功能是仿射缺口罚分和取决于各种序列和结构特征(SALIGN)的项之和。特征包括氨基酸残基类型,残基位置,残基可及表面积,残基二级结构状态和以残基为中心的短链段的构象。多重比对是通过遵循从所有成对蛋白质比对得分矩阵中构建的“指南”树来建立的。重要的是,该方法不依赖于各种参数的精确值,例如特征权重和间隙罚分,因为找到了跨参数值范围的最佳对齐方式。使用HOMSTRAD数据库中的多个结构比对,SALIGN相对于MUSTANG进行了多个比对,并针对TM-align和CE进行了成对比对。平均而言,在90%和95%的情况下,SALIGN的结构重叠比HOMSTRAD改善15%,与MUSTANG相比提高14%,并且与TM-align和CE相比,产生的等效结构位置更多。精确的多重结构比对的实用性通过其在比较蛋白质结构建模中的应用来说明。

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