Literature DB >> 15865995

Context dependence and coevolution among amino acid residues in proteins.

Zhengyuan O Wang1, David D Pollock.   

Abstract

As complete genomes accumulate and the generation of genomic biodiversity proceeds at an accelerating pace, the need to understand the interaction between sequence evolution and protein structure and function rises in prominence. The pattern and pace of substitutions in proteins can provide important clues to functional importance, functional divergence, and adaptive response. Coevolution between amino acid residues and the context dependence of the evolutionary process are often ignored, however, because of their complexity, but they are critical for the accurate interpretation of reconstructed evolutionary events. Because residues interact with one another, and because the effect of substitutions can depend on the structural and physiological environment in which they occur, an accurate science of evolutionary functional genomics and a complete understanding of selection in proteins require a better understanding of how context dependence affects protein evolution. Here, we present new evidence from vertebrate cytochrome oxidase sequences that pairwise coevolutionary interactions between protein residues are highly dependent on tertiary and secondary structure. We also discuss theoretical predictions that impinge on our expectations of how protein residues may interact over long distances because of their shared need to maintain protein stability.

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Year:  2005        PMID: 15865995      PMCID: PMC2943952          DOI: 10.1016/S0076-6879(05)95040-4

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  33 in total

1.  Correlations among amino acid sites in bHLH protein domains: an information theoretic analysis.

Authors:  W R Atchley; K R Wollenberg; W M Fitch; W Terhalle; A W Dress
Journal:  Mol Biol Evol       Date:  2000-01       Impact factor: 16.240

2.  Exploring a phylogenetic approach for the detection of correlated substitutions in proteins.

Authors:  P Tuff; P Darlu
Journal:  Mol Biol Evol       Date:  2000-11       Impact factor: 16.240

3.  Enzyme evolution explained (sort of).

Authors:  A M Dean; G B Golding
Journal:  Pac Symp Biocomput       Date:  2000

4.  Similarity of phylogenetic trees as indicator of protein-protein interaction.

Authors:  F Pazos; A Valencia
Journal:  Protein Eng       Date:  2001-09

5.  Heterotachy, an important process of protein evolution.

Authors:  P Lopez; D Casane; H Philippe
Journal:  Mol Biol Evol       Date:  2002-01       Impact factor: 16.240

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

Authors:  L Pritchard; P Bladon; J M O Mitchell; M J Dufton
Journal:  Protein Eng       Date:  2001-08

7.  Evolution of functionality in lattice proteins.

Authors:  P D Williams; D D Pollock; R A Goldstein
Journal:  J Mol Graph Model       Date:  2001       Impact factor: 2.518

8.  How frequent are correlated changes in families of protein sequences?

Authors:  E Neher
Journal:  Proc Natl Acad Sci U S A       Date:  1994-01-04       Impact factor: 11.205

9.  Analysis of suppressor mutation reveals long distance interactions in the bc(1) complex of Saccharomyces cerevisiae.

Authors:  G Brasseur; J P Di Rago; P P Slonimski; D Lemesle-Meunier
Journal:  Biochim Biophys Acta       Date:  2001-08-17

10.  Molecular evolution of cytochrome c oxidase subunit I in primates: is there coevolution between mitochondrial and nuclear genomes?

Authors:  W Wu; T R Schmidt; M Goodman; L I Grossman
Journal:  Mol Phylogenet Evol       Date:  2000-11       Impact factor: 4.286

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  13 in total

1.  Amino acid coevolution induces an evolutionary Stokes shift.

Authors:  David D Pollock; Grant Thiltgen; Richard A Goldstein
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-30       Impact factor: 11.205

2.  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

3.  Compensatory mutations are repeatable and clustered within proteins.

Authors:  Brad H Davis; Art F Y Poon; Michael C Whitlock
Journal:  Proc Biol Sci       Date:  2009-02-25       Impact factor: 5.349

4.  Exploiting models of molecular evolution to efficiently direct protein engineering.

Authors:  Megan F Cole; Eric A Gaucher
Journal:  J Mol Evol       Date:  2010-12-04       Impact factor: 2.395

5.  Divergence, recombination and retention of functionality during protein evolution.

Authors:  Yanlong O Xu; Randall W Hall; Richard A Goldstein; David D Pollock
Journal:  Hum Genomics       Date:  2005-09       Impact factor: 4.639

6.  The coevolution of phycobilisomes: molecular structure adapting to functional evolution.

Authors:  Fei Shi; Song Qin; Yin-Chu Wang
Journal:  Comp Funct Genomics       Date:  2011-08-29

7.  EGenBio: a data management system for evolutionary genomics and biodiversity.

Authors:  Laila A Nahum; Matthew T Reynolds; Zhengyuan O Wang; Jeremiah J Faith; Rahul Jonna; Zhi J Jiang; Thomas J Meyer; David D Pollock
Journal:  BMC Bioinformatics       Date:  2006-09-06       Impact factor: 3.169

8.  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

9.  Detecting coevolution in and among protein domains.

Authors:  Chen-Hsiang Yeang; David Haussler
Journal:  PLoS Comput Biol       Date:  2007-09-18       Impact factor: 4.475

10.  Reducing the false positive rate in the non-parametric analysis of molecular coevolution.

Authors:  Francisco M Codoñer; Shirley O'Dea; Mario A Fares
Journal:  BMC Evol Biol       Date:  2008-04-10       Impact factor: 3.260

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