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ConSurf 2005:蛋白质结构上残基进化保守性得分的投影

ConSurf 2005: the projection of evolutionary conservation scores of residues on protein structures.

作者信息

Landau Meytal, Mayrose Itay, Rosenberg Yossi, Glaser Fabian, Martz Eric, Pupko Tal, Ben-Tal Nir

机构信息

Department of Biochemistry, George S. Wise Faculty of Life Sciences, Tel Aviv University, Ramat Aviv 69978, Israel.

出版信息

Nucleic Acids Res. 2005 Jul 1;33(Web Server issue):W299-302. doi: 10.1093/nar/gki370.

Abstract

Key amino acid positions that are important for maintaining the 3D structure of a protein and/or its function(s), e.g. catalytic activity, binding to ligand, DNA or other proteins, are often under strong evolutionary constraints. Thus, the biological importance of a residue often correlates with its level of evolutionary conservation within the protein family. ConSurf (http://consurf.tau.ac.il/) is a web-based tool that automatically calculates evolutionary conservation scores and maps them on protein structures via a user-friendly interface. Structurally and functionally important regions in the protein typically appear as patches of evolutionarily conserved residues that are spatially close to each other. We present here version 3.0 of ConSurf. This new version includes an empirical Bayesian method for scoring conservation, which is more accurate than the maximum-likelihood method that was used in the earlier release. Various additional steps in the calculation can now be controlled by a number of advanced options, thus further improving the accuracy of the calculation. Moreover, ConSurf version 3.0 also includes a measure of confidence for the inferred amino acid conservation scores.

摘要

对于维持蛋白质的三维结构和/或其功能(如催化活性、与配体、DNA或其他蛋白质的结合)至关重要的关键氨基酸位点,通常受到强烈的进化限制。因此,一个残基的生物学重要性通常与其在蛋白质家族中的进化保守程度相关。ConSurf(http://consurf.tau.ac.il/)是一个基于网络的工具,它通过用户友好的界面自动计算进化保守分数并将其映射到蛋白质结构上。蛋白质中结构和功能重要的区域通常表现为在空间上彼此靠近的进化保守残基斑块。我们在此展示ConSurf 3.0版本。这个新版本包括一种用于评分保守性的经验贝叶斯方法,它比早期版本中使用的最大似然方法更准确。现在,计算中的各种附加步骤可以通过许多高级选项进行控制,从而进一步提高计算的准确性。此外,ConSurf 3.0版本还包括对推断的氨基酸保守分数的置信度度量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63dd/1160131/50702999bdfb/gki370f1.jpg

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