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

被引:1129
作者
Landau, M
Mayrose, I
Rosenberg, Y
Glaser, F
Martz, E
Pupko, T
Ben-Tal, N [1 ]
机构
[1] Tel Aviv Univ, George S Wise Fac Life Sci, Dept Biochem, IL-69978 Tel Aviv, Israel
[2] Tel Aviv Univ, George S Wise Fac Life Sci, Dept Cell Res & Immunol, IL-69978 Tel Aviv, Israel
[3] European Bioinformat Inst, Cambridge CB10 1SD, England
[4] Univ Massachusetts, Dept Microbiol, Amherst, MA 01003 USA
基金
美国国家科学基金会; 以色列科学基金会;
关键词
D O I
10.1093/nar/gki370
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:W299 / W302
页数:4
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