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SDPpred: a tool for prediction of amino acid residues that determine differences in functional specificity of homologous proteins
Author(s) -
Olga V. Kalinina,
Pavel S. Novichkov,
Andrey A. Mironov,
Mikhail S. Gelfand,
A. B. Rakhmaninova
Publication year - 2004
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkh391
Subject(s) - biology , protein superfamily , computational biology , genetics , amino acid residue , homologous chromosome , protein family , sequence alignment , biochemistry , set (abstract data type) , peptide sequence , gene , computer science , programming language
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/~psn/.

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