Literature DB >> 16159918

Using information theory to search for co-evolving residues in proteins.

L C Martin1, G B Gloor, S D Dunn, L M Wahl.   

Abstract

MOTIVATION: Some functionally important protein residues are easily detected since they correspond to conserved columns in a multiple sequence alignment (MSA). However important residues may also mutate, with compensatory mutations occurring elsewhere in the protein, which serve to preserve or restore functionality. It is difficult to distinguish these co-evolving sites from other non-conserved sites.
RESULTS: We used Mutual Information (MI) to identify co-evolving positions. Using in silico evolved MSAs, we examined the effects of the number of sequences, the size of amino acid alphabet and the mutation rate on two sources of background MI: finite sample size effects and phylogenetic influence. We then assessed the performance of various normalizations of MI in enhancing detection of co-evolving positions and found that normalization by the pair entropy was optimal. Real protein alignments were analyzed and co-evolving isolated pairs were often found to be in contact with each other. AVAILABILITY: All data and program files can be found at http://www.biochem.uwo.ca/cgi-bin/CDD/index.cgi

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Year:  2005        PMID: 16159918     DOI: 10.1093/bioinformatics/bti671

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  118 in total

1.  Mutual information analysis reveals coevolving residues in Tat that compensate for two distinct functions in HIV-1 gene expression.

Authors:  Siddharth S Dey; Yuhua Xue; Marcin P Joachimiak; Gregory D Friedland; John C Burnett; Qiang Zhou; Adam P Arkin; David V Schaffer
Journal:  J Biol Chem       Date:  2012-01-17       Impact factor: 5.157

2.  Accurate de novo structure prediction of large transmembrane protein domains using fragment-assembly and correlated mutation analysis.

Authors:  Timothy Nugent; David T Jones
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-29       Impact factor: 11.205

3.  Synthetic protein alignments by CCMgen quantify noise in residue-residue contact prediction.

Authors:  Susann Vorberg; Stefan Seemayer; Johannes Söding
Journal:  PLoS Comput Biol       Date:  2018-11-05       Impact factor: 4.475

4.  A study of residue correlation within protein sequences and its application to sequence classification.

Authors:  Chris Hemmerich; Sun Kim
Journal:  EURASIP J Bioinform Syst Biol       Date:  2007

5.  Correction for phylogeny, small number of observations and data redundancy improves the identification of coevolving amino acid pairs using mutual information.

Authors:  Cristina Marino Buslje; Javier Santos; Jose Maria Delfino; Morten Nielsen
Journal:  Bioinformatics       Date:  2009-03-10       Impact factor: 6.937

6.  Use of mutual information arrays to predict coevolving sites in the full length HIV gp120 protein for subtypes B and C.

Authors:  Bo Wei; Na Han; Hai-zhou Liu; Anthony Rayner; Simon Rayner
Journal:  Virol Sin       Date:  2011-04-07       Impact factor: 4.327

7.  Use of average mutual information for studying changes in HIV populations.

Authors:  Khalid Sayood; Federico Hoffman; Charles Wood
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

8.  Combining mutual information with structural analysis to screen for functionally important residues in influenza hemagglutinin.

Authors:  Peter M Kasson; Vijay S Pande
Journal:  Pac Symp Biocomput       Date:  2009

9.  Detecting coevolution without phylogenetic trees? Tree-ignorant metrics of coevolution perform as well as tree-aware metrics.

Authors:  J Gregory Caporaso; Sandra Smit; Brett C Easton; Lawrence Hunter; Gavin A Huttley; Rob Knight
Journal:  BMC Evol Biol       Date:  2008-12-03       Impact factor: 3.260

10.  Identification of coevolving residues and coevolution potentials emphasizing structure, bond formation and catalytic coordination in protein evolution.

Authors:  Daniel Y Little; Lu Chen
Journal:  PLoS One       Date:  2009-03-10       Impact factor: 3.240

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