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MM比对:一种使用迭代动态规划对多链蛋白质复合体结构进行比对的快速算法。

MM-align: a quick algorithm for aligning multiple-chain protein complex structures using iterative dynamic programming.

作者信息

Mukherjee Srayanta, Zhang Yang

机构信息

Center for Bioinformatics and Department of Molecular Bioscience, University of Kansas, 2030 Becker Dr, Lawrence, KS 66047, USA.

出版信息

Nucleic Acids Res. 2009 Jun;37(11):e83. doi: 10.1093/nar/gkp318. Epub 2009 May 14.

Abstract

Structural comparison of multiple-chain protein complexes is essential in many studies of protein-protein interactions. We develop a new algorithm, MM-align, for sequence-independent alignment of protein complex structures. The algorithm is built on a heuristic iteration of a modified Needleman-Wunsch dynamic programming (DP) algorithm, with the alignment score specified by the inter-complex residue distances. The multiple chains in each complex are first joined, in every possible order, and then simultaneously aligned with cross-chain alignments prevented. The alignments of interface residues are enhanced by an interface-specific weighting factor. MM-align is tested on a large-scale benchmark set of 205 x 3897 non-homologous multiple-chain complex pairs. Compared with a naïve extension of the monomer alignment program of TM-align, the alignment accuracy of MM-align is significantly higher as judged by the average TM-score of the physically-aligned residues. MM-align is about two times faster than TM-align because of omitting the cross-alignment zone of the DP matrix. It also shows that the enhanced alignment of the interfaces helps in identifying biologically relevant protein complex pairs.

摘要

在许多蛋白质-蛋白质相互作用研究中,多链蛋白质复合物的结构比较至关重要。我们开发了一种新算法MM-align,用于蛋白质复合物结构的序列无关比对。该算法基于对改进的Needleman-Wunsch动态规划(DP)算法的启发式迭代,比对分数由复合物间残基距离指定。每个复合物中的多条链首先以每种可能的顺序连接,然后在防止跨链比对的情况下同时进行比对。通过特定于界面的加权因子增强界面残基的比对。MM-align在由205×3897个非同源多链复合物对组成的大规模基准数据集上进行了测试。与TM-align单体比对程序的简单扩展相比,根据物理比对残基的平均TM分数判断,MM-align的比对准确性显著更高。由于省略了DP矩阵的交叉比对区域,MM-align比TM-align快约两倍。这也表明,界面的增强比对有助于识别生物学上相关的蛋白质复合物对。

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