Literature DB >> 22174270

Coevolved residues and the functional association for intrinsically disordered proteins.

Chan-Seok Jeong1, Dongsup Kim.   

Abstract

The evolution of intrinsically disordered proteins has been studied primarily by focusing on evolutionary changes at an individual position such as substitution and conservation, but the evolutionary association between disordered residues has not been comprehensively investigated. Here, we analyze the distribution of residue-residue coevolution for disordered proteins. We reveal that the degree of coevolved residues significantly decreases in disordered regions regardless of the sequence propensity, and the degree distribution of coevolved and conserved residues exclusively differs in each functional category. Consequently, the coevolution information can be useful for predicting intrinsic disorder and understanding biological functions of a disordered region from the sequence.

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Year:  2012        PMID: 22174270

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN: 2335-6928


  5 in total

1.  Intrinsically disordered regions in autophagy proteins.

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Journal:  Proteins       Date:  2013-10-17

Review 2.  Regulated unfolding of proteins in signaling.

Authors:  Diana M Mitrea; Richard W Kriwacki
Journal:  FEBS Lett       Date:  2013-02-20       Impact factor: 4.124

3.  Sequence evolution of the intrinsically disordered and globular domains of a model viral oncoprotein.

Authors:  Lucía B Chemes; Juliana Glavina; Leonardo G Alonso; Cristina Marino-Buslje; Gonzalo de Prat-Gay; Ignacio E Sánchez
Journal:  PLoS One       Date:  2012-10-31       Impact factor: 3.240

4.  DBC1/CCAR2 and CCAR1 Are Largely Disordered Proteins that Have Evolved from One Common Ancestor.

Authors:  Jessica Brunquell; Jia Yuan; Aqeela Erwin; Sandy D Westerheide; Bin Xue
Journal:  Biomed Res Int       Date:  2014-12-11       Impact factor: 3.411

5.  Co-Evolution of Intrinsically Disordered Proteins with Folded Partners Witnessed by Evolutionary Couplings.

Authors:  Rita Pancsa; Fruzsina Zsolyomi; Peter Tompa
Journal:  Int J Mol Sci       Date:  2018-10-25       Impact factor: 5.923

  5 in total

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