Literature DB >> 11579223

Evaluation of a novel method for the identification of coevolving protein residues.

L Pritchard1, P Bladon, J M O Mitchell, M J Dufton.   

Abstract

A novel method for the identification of correlated pairs in aligned homologous protein sequences is presented and evaluated against a model of simulated protein evolution incorporating covariation. Our method is shown to be capable of identifying all coevolutionary pairs of sites, with minimal interference by background correlations, in aligned sequence sets containing approximately 60 sequences with a tree depth of at least 30 accepted point mutations. This result is expected even in the presence of a large degree of neutral and non-correlated evolution. It is postulated that, since naturally occurring protein families may be subject to stronger selection pressures and a lesser degree of neutral evolution, this method of covariation analysis may be generally more robust than the model would indicate.

Mesh:

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Year:  2001        PMID: 11579223     DOI: 10.1093/protein/14.8.549

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  14 in total

1.  Context dependence and coevolution among amino acid residues in proteins.

Authors:  Zhengyuan O Wang; David D Pollock
Journal:  Methods Enzymol       Date:  2005       Impact factor: 1.600

2.  Testing for spatial clustering of amino acid replacements within protein tertiary structure.

Authors:  Jiaye Yu; Jeffrey L Thorne
Journal:  J Mol Evol       Date:  2006-04-25       Impact factor: 2.395

3.  Coevolutionary patterns in cytochrome c oxidase subunit I depend on structural and functional context.

Authors:  Zhengyuan O Wang; David D Pollock
Journal:  J Mol Evol       Date:  2007-11       Impact factor: 2.395

4.  A novel method for detecting intramolecular coevolution: adding a further dimension to selective constraints analyses.

Authors:  Mario A Fares; Simon A A Travers
Journal:  Genetics       Date:  2006-03-17       Impact factor: 4.562

5.  Pervasive cryptic epistasis in molecular evolution.

Authors:  Mark Lunzer; G Brian Golding; Antony M Dean
Journal:  PLoS Genet       Date:  2010-10-21       Impact factor: 5.917

6.  Coevolution in defining the functional specificity.

Authors:  Saikat Chakrabarti; Anna R Panchenko
Journal:  Proteins       Date:  2009-04

7.  Why should we care about molecular coevolution?

Authors:  Francisco M Codoñer; Mario A Fares
Journal:  Evol Bioinform Online       Date:  2008-02-14       Impact factor: 1.625

8.  Distinguishing HIV-1 drug resistance, accessory, and viral fitness mutations using conditional selection pressure analysis of treated versus untreated patient samples.

Authors:  Lamei Chen; Christopher Lee
Journal:  Biol Direct       Date:  2006-05-31       Impact factor: 4.540

9.  Structural and functional roles of coevolved sites in proteins.

Authors:  Saikat Chakrabarti; Anna R Panchenko
Journal:  PLoS One       Date:  2010-01-06       Impact factor: 3.240

10.  Computing highly correlated positions using mutual information and graph theory for G protein-coupled receptors.

Authors:  Sarosh N Fatakia; Stefano Costanzi; Carson C Chow
Journal:  PLoS One       Date:  2009-03-05       Impact factor: 3.240

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