Kalinina Olga V, Novichkov Pavel S, Mironov Andrey A, Gelfand Mikhail S, Rakhmaninova Aleksandra B
Department of Bioengineering and Bioinformatics, Moscow State University, Vorob'evy gory, 1-73, Moscow, 119992, Russia.
Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W424-8. doi: 10.1093/nar/gkh391.
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/.
SDPpred（特异性决定位置预测）是一种用于预测蛋白质序列中决定蛋白质功能特异性的残基的工具。它旨在分析其成员具有生化相似但不完全相同的相互作用伙伴的蛋白质家族（例如，一类转运蛋白的不同底物）。SDPpred预测可能负责蛋白质选择其正确相互作用伙伴的残基。SDPpred的输入是一个蛋白质家族的多序列比对，该比对被划分为多个特异性组，据信在这些组内相互作用伙伴是相同的。SDPpred不需要关于蛋白质二级或三维结构的信息。它产生一组决定功能特异性差异的比对位置（特异性决定位置）。可通过http://math.genebee.msu.ru/~psn/获取SDPpred。
