Literature DB >> 15215423

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

Olga V Kalinina1, Pavel S Novichkov, Andrey A Mironov, Mikhail S Gelfand, Aleksandra B Rakhmaninova.   

Abstract

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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Year:  2004        PMID: 15215423      PMCID: PMC441529          DOI: 10.1093/nar/gkh391

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  10 in total

1.  Analysis and prediction of functional sub-types from protein sequence alignments.

Authors:  S S Hannenhalli; R B Russell
Journal:  J Mol Biol       Date:  2000-10-13       Impact factor: 5.469

2.  BATMAS30: amino acid substitution matrix for alignment of bacterial transporters.

Authors:  Roman A Sutormin; Aleksandra B Rakhmaninova; Mikhail S Gelfand
Journal:  Proteins       Date:  2003-04-01

Review 3.  Predicting functional divergence in protein evolution by site-specific rate shifts.

Authors:  Eric A Gaucher; Xun Gu; Michael M Miyamoto; Steven A Benner
Journal:  Trends Biochem Sci       Date:  2002-06       Impact factor: 13.807

4.  Using orthologous and paralogous proteins to identify specificity-determining residues in bacterial transcription factors.

Authors:  Leonid A Mirny; Mikhail S Gelfand
Journal:  J Mol Biol       Date:  2002-08-02       Impact factor: 5.469

5.  Automated selection of positions determining functional specificity of proteins by comparative analysis of orthologous groups in protein families.

Authors:  Olga V Kalinina; Andrey A Mironov; Mikhail S Gelfand; Aleksandra B Rakhmaninova
Journal:  Protein Sci       Date:  2004-02       Impact factor: 6.725

6.  Amino acid substitution matrices from protein blocks.

Authors:  S Henikoff; J G Henikoff
Journal:  Proc Natl Acad Sci U S A       Date:  1992-11-15       Impact factor: 11.205

7.  Predicting ligand-binding function in families of bacterial receptors.

Authors:  J M Johnson; G M Church
Journal:  Proc Natl Acad Sci U S A       Date:  2000-04-11       Impact factor: 11.205

8.  A method to predict functional residues in proteins.

Authors:  G Casari; C Sander; A Valencia
Journal:  Nat Struct Biol       Date:  1995-02

9.  An evolutionary trace method defines binding surfaces common to protein families.

Authors:  O Lichtarge; H R Bourne; F E Cohen
Journal:  J Mol Biol       Date:  1996-03-29       Impact factor: 5.469

10.  Protein sequence alignments: a strategy for the hierarchical analysis of residue conservation.

Authors:  C D Livingstone; G J Barton
Journal:  Comput Appl Biosci       Date:  1993-12
  10 in total
  40 in total

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Journal:  Proteins       Date:  2008-05-01

2.  Systems chemical biology.

Authors:  Tudor I Oprea; Alexander Tropsha; Jean-Loup Faulon; Mark D Rintoul
Journal:  Nat Chem Biol       Date:  2007-08       Impact factor: 15.040

3.  Functional specificity lies within the properties and evolutionary changes of amino acids.

Authors:  Saikat Chakrabarti; Stephen H Bryant; Anna R Panchenko
Journal:  J Mol Biol       Date:  2007-08-22       Impact factor: 5.469

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5.  WRKY gene family evolution in Arabidopsis thaliana.

Authors:  Qishan Wang; Minghui Wang; Xiangzhe Zhang; Boji Hao; S K Kaushik; Yuchun Pan
Journal:  Genetica       Date:  2011-07-31       Impact factor: 1.082

6.  Functionally important positions can comprise the majority of a protein's architecture.

Authors:  Sudheer Tungtur; Daniel J Parente; Liskin Swint-Kruse
Journal:  Proteins       Date:  2011-03-04

7.  Experimental identification of specificity determinants in the domain linker of a LacI/GalR protein: bioinformatics-based predictions generate true positives and false negatives.

Authors:  Sarah Meinhardt; Liskin Swint-Kruse
Journal:  Proteins       Date:  2008-12

8.  Partially-supervised protein subclass discovery with simultaneous annotation of functional residues.

Authors:  Benjamin Georgi; Jörg Schultz; Alexander Schliep
Journal:  BMC Struct Biol       Date:  2009-10-26

9.  Ensemble approach to predict specificity determinants: benchmarking and validation.

Authors:  Saikat Chakrabarti; Anna R Panchenko
Journal:  BMC Bioinformatics       Date:  2009-07-02       Impact factor: 3.169

10.  SDR: a database of predicted specificity-determining residues in proteins.

Authors:  Jason E Donald; Eugene I Shakhnovich
Journal:  Nucleic Acids Res       Date:  2008-10-16       Impact factor: 16.971

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