Literature DB >> 23679784

Elements of coevolution in biological sequences.

Olivier Rivoire1.   

Abstract

Studies of coevolution of amino acids within and between proteins have revealed two types of coevolving units: coevolving contacts, which are pairs of amino acids distant along the sequence but in contact in the three-dimensional structure, and sectors, which are larger groups of structurally connected amino acids that underlie the biochemical properties of proteins. By reconciling two approaches for analyzing correlations in multiple sequence alignments, we link these two findings together and with coevolving units of intermediate size, called "sectons," which are shown to provide additional information. By extending the analysis to the co-occurrence of orthologous genes in bacterial genomes, we also show that the methods and results are general and relevant beyond protein structures.

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Year:  2013        PMID: 23679784     DOI: 10.1103/PhysRevLett.110.178102

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  13 in total

1.  A Two-Enzyme Adaptive Unit within Bacterial Folate Metabolism.

Authors:  Andrew F Schober; Andrew D Mathis; Christine Ingle; Junyoung O Park; Li Chen; Joshua D Rabinowitz; Ivan Junier; Olivier Rivoire; Kimberly A Reynolds
Journal:  Cell Rep       Date:  2019-06-11       Impact factor: 9.423

2.  Patterns of coevolving amino acids unveil structural and dynamical domains.

Authors:  Daniele Granata; Luca Ponzoni; Cristian Micheletti; Vincenzo Carnevale
Journal:  Proc Natl Acad Sci U S A       Date:  2017-11-28       Impact factor: 11.205

3.  A general pairwise interaction model provides an accurate description of in vivo transcription factor binding sites.

Authors:  Marc Santolini; Thierry Mora; Vincent Hakim
Journal:  PLoS One       Date:  2014-06-13       Impact factor: 3.240

4.  Protein sectors: statistical coupling analysis versus conservation.

Authors:  Tiberiu Teşileanu; Lucy J Colwell; Stanislas Leibler
Journal:  PLoS Comput Biol       Date:  2015-02-27       Impact factor: 4.475

5.  Improving contact prediction along three dimensions.

Authors:  Christoph Feinauer; Marcin J Skwark; Andrea Pagnani; Erik Aurell
Journal:  PLoS Comput Biol       Date:  2014-10-09       Impact factor: 4.475

6.  Coevolution-based inference of amino acid interactions underlying protein function.

Authors:  Victor H Salinas; Rama Ranganathan
Journal:  Elife       Date:  2018-07-20       Impact factor: 8.140

7.  Revealing evolutionary constraints on proteins through sequence analysis.

Authors:  Shou-Wen Wang; Anne-Florence Bitbol; Ned S Wingreen
Journal:  PLoS Comput Biol       Date:  2019-04-24       Impact factor: 4.475

8.  Evolution-Based Functional Decomposition of Proteins.

Authors:  Olivier Rivoire; Kimberly A Reynolds; Rama Ranganathan
Journal:  PLoS Comput Biol       Date:  2016-06-02       Impact factor: 4.475

Review 9.  Emerging Computational Methods for the Rational Discovery of Allosteric Drugs.

Authors:  Jeffrey R Wagner; Christopher T Lee; Jacob D Durrant; Robert D Malmstrom; Victoria A Feher; Rommie E Amaro
Journal:  Chem Rev       Date:  2016-04-13       Impact factor: 60.622

10.  Statistical investigations of protein residue direct couplings.

Authors:  Andrew F Neuwald; Stephen F Altschul
Journal:  PLoS Comput Biol       Date:  2018-12-31       Impact factor: 4.475

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