Literature DB >> 19626715

Prediction of ligand binding sites using homologous structures and conservation at CASP8.

Mark N Wass1, Michael J E Sternberg.   

Abstract

The critical assessment of protein structure prediction experiment is a blind assessment of the prediction of protein structure and related topics including function prediction. We present our results in the function/binding site prediction category. Our approach to identify binding sites combined the use of the predicted structure of the targets with both residue conservation and the location of ligands bound to homologous structures. We obtained an average coverage of 83% and 56% accuracy. Analysis of our predictions suggests that over-prediction reduces the accuracy obtained due to large areas of conservation around the binding site that do not bind the ligand. In some proteins such conserved residues may have a functional role. A server version of our method will soon be available. Copyright 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19626715      PMCID: PMC2814558          DOI: 10.1002/prot.22513

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  16 in total

1.  Automated structure-based prediction of functional sites in proteins: applications to assessing the validity of inheriting protein function from homology in genome annotation and to protein docking.

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Journal:  J Mol Biol       Date:  2001-08-10       Impact factor: 5.469

2.  3D-Jury: a simple approach to improve protein structure predictions.

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Journal:  Bioinformatics       Date:  2003-05-22       Impact factor: 6.937

3.  The Catalytic Site Atlas: a resource of catalytic sites and residues identified in enzymes using structural data.

Authors:  Craig T Porter; Gail J Bartlett; Janet M Thornton
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

4.  Comparison of the predicted and observed secondary structure of T4 phage lysozyme.

Authors:  B W Matthews
Journal:  Biochim Biophys Acta       Date:  1975-10-20

5.  ConSeq: the identification of functionally and structurally important residues in protein sequences.

Authors:  Carine Berezin; Fabian Glaser; Josef Rosenberg; Inbal Paz; Tal Pupko; Piero Fariselli; Rita Casadio; Nir Ben-Tal
Journal:  Bioinformatics       Date:  2004-02-10       Impact factor: 6.937

6.  A method for localizing ligand binding pockets in protein structures.

Authors:  Fabian Glaser; Richard J Morris; Rafael J Najmanovich; Roman A Laskowski; Janet M Thornton
Journal:  Proteins       Date:  2006-02-01

7.  Supersites within superfolds. Binding site similarity in the absence of homology.

Authors:  R B Russell; P D Sasieni; M J Sternberg
Journal:  J Mol Biol       Date:  1998-10-02       Impact factor: 5.469

8.  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

9.  SURFNET: a program for visualizing molecular surfaces, cavities, and intermolecular interactions.

Authors:  R A Laskowski
Journal:  J Mol Graph       Date:  1995-10

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

Authors:  Meytal Landau; Itay Mayrose; Yossi Rosenberg; Fabian Glaser; Eric Martz; Tal Pupko; Nir Ben-Tal
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

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  18 in total

1.  Assessment of ligand-binding residue predictions in CASP9.

Authors:  Tobias Schmidt; Jürgen Haas; Tiziano Gallo Cassarino; Torsten Schwede
Journal:  Proteins       Date:  2011-10-11

Review 2.  The use of evolutionary patterns in protein annotation.

Authors:  Angela D Wilkins; Benjamin J Bachman; Serkan Erdin; Olivier Lichtarge
Journal:  Curr Opin Struct Biol       Date:  2012-05-24       Impact factor: 6.809

3.  3DLigandSite: predicting ligand-binding sites using similar structures.

Authors:  Mark N Wass; Lawrence A Kelley; Michael J E Sternberg
Journal:  Nucleic Acids Res       Date:  2010-05-31       Impact factor: 16.971

4.  Assessment of ligand binding residue predictions in CASP8.

Authors:  Gonzalo López; Iakes Ezkurdia; Michael L Tress
Journal:  Proteins       Date:  2009

5.  Proteome-wide subtractive approach to prioritize a hypothetical protein of XDR-Mycobacterium tuberculosis as potential drug target.

Authors:  Reaz Uddin; Quratulain Nehal Siddiqui; Muhammad Sufian; Syed Sikander Azam; Abdul Wadood
Journal:  Genes Genomics       Date:  2019-08-06       Impact factor: 1.839

6.  FINDSITE(X): a structure-based, small molecule virtual screening approach with application to all identified human GPCRs.

Authors:  Hongyi Zhou; Jeffrey Skolnick
Journal:  Mol Pharm       Date:  2012-05-21       Impact factor: 4.939

7.  eThread: a highly optimized machine learning-based approach to meta-threading and the modeling of protein tertiary structures.

Authors:  Michal Brylinski; Daswanth Lingam
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

8.  Knowledge-based annotation of small molecule binding sites in proteins.

Authors:  Ratna R Thangudu; Manoj Tyagi; Benjamin A Shoemaker; Stephen H Bryant; Anna R Panchenko; Thomas Madej
Journal:  BMC Bioinformatics       Date:  2010-07-01       Impact factor: 3.169

9.  Intragenic enhancers and suppressors of phytoene desaturase mutations in Chlamydomonas reinhardtii.

Authors:  Phoi T Tran; Marina N Sharifi; Subhajit Poddar; Rachel M Dent; Krishna K Niyogi
Journal:  PLoS One       Date:  2012-08-10       Impact factor: 3.240

10.  Bioinformatic prediction of epitopes in the Emy162 antigen of Echinococcus multilocularis.

Authors:  Yanhua Li; Xianfei Liu; Yuejie Zhu; Xiaotao Zhou; Chunbao Cao; Xiaoan Hu; Haimei Ma; Hao Wen; Xiumin Ma; Jian-Bing Ding
Journal:  Exp Ther Med       Date:  2013-06-05       Impact factor: 2.447

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