SDPpred: a tool for prediction of amino acid residues that determine differences in functional specificity of homologous proteins

被引:75
作者
Kalinina, OV
Novichkov, PS
Mironov, AA
Gelfand, MS
Rakhmaninova, AB
机构
[1] Moscow MV Lomonosov State Univ, Dept Bioengn & Bioinformat, Moscow 119992, Russia
[2] State Scintif Ctr GosNIIGenet, Moscow 113545, Russia
[3] Inst Problems Informat Transmiss RAS, Moscow 127994, Russia
关键词
D O I
10.1093/nar/gkh391
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
SDPpred (Specificity Determining Position prediction) is a tool for prediction of residues in protein sequences that determine the proteins' functional specificity. It is designed for analysis of protein families whose members have biochemically similar but not identical interaction partners (e.g. different substrates for a family of transporters). SDPpred predicts residues that could be responsible for the proteins' choice of their correct interaction partners. The input of SDPpred is a multiple alignment of a protein family divided into a number of specificity groups, within which the interaction partner is believed to be the same. SDPpred does not require information about the secondary or three-dimensional structure of proteins. It produces a set of the alignment positions (specificity determining positions) that determine differences in functional specificity. SDPpred is available at http://math.genebee.msu.ru/similar topsn/.
引用
收藏
页码:W424 / W428
页数:5
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