Literature DB >> 11746707

Why are proteins marginally stable?

Darin M Taverna1, Richard A Goldstein.   

Abstract

Most globular proteins are marginally stable regardless of size or activity. The most common interpretation is that proteins must be marginally stable in order to function, and so marginal stability represents the results of positive selection. We consider the issue of marginal stability directly using model proteins and the dynamical aspects of protein evolution in populations. We find that the marginal stability of proteins is an inherent property of proteins due to the high dimensionality of the sequence space, without regard to protein function. In this way, marginal stability can result from neutral, non-adaptive evolution. By allowing evolving protein sub-populations with different stability requirements for functionality to complete, we find that marginally stable populations of proteins tend to dominate. Our results show that functionalities consistent with marginal stability have a strong evolutionary advantage, and might arise because of the natural tendency of proteins towards marginal stability. Copyright 2001 Wiley-Liss, Inc.

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Year:  2002        PMID: 11746707     DOI: 10.1002/prot.10016

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  129 in total

1.  Boltzmann-type distribution of side-chain conformation in proteins.

Authors:  Glenn L Butterfoss; Jan Hermans
Journal:  Protein Sci       Date:  2003-12       Impact factor: 6.725

2.  Correlation between sequence hydrophobicity and surface-exposure pattern of database proteins.

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Journal:  Protein Sci       Date:  2004-02-06       Impact factor: 6.725

3.  Roles of mutation and recombination in the evolution of protein thermodynamics.

Authors:  Yu Xia; Michael Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-29       Impact factor: 11.205

4.  Stability and the evolvability of function in a model protein.

Authors:  Jesse D Bloom; Claus O Wilke; Frances H Arnold; Christoph Adami
Journal:  Biophys J       Date:  2004-05       Impact factor: 4.033

5.  Repeat-modulated population genetic effects in fungal proteins.

Authors:  F N Braun; D A Liberles
Journal:  J Mol Evol       Date:  2004-07       Impact factor: 2.395

6.  Funnel-like organization in sequence space determines the distributions of protein stability and folding rate preferred by evolution.

Authors:  Yu Xia; Michael Levitt
Journal:  Proteins       Date:  2004-04-01

Review 7.  The interface of protein structure, protein biophysics, and molecular evolution.

Authors:  David A Liberles; Sarah A Teichmann; Ivet Bahar; Ugo Bastolla; Jesse Bloom; Erich Bornberg-Bauer; Lucy J Colwell; A P Jason de Koning; Nikolay V Dokholyan; Julian Echave; Arne Elofsson; Dietlind L Gerloff; Richard A Goldstein; Johan A Grahnen; Mark T Holder; Clemens Lakner; Nicholas Lartillot; Simon C Lovell; Gavin Naylor; Tina Perica; David D Pollock; Tal Pupko; Lynne Regan; Andrew Roger; Nimrod Rubinstein; Eugene Shakhnovich; Kimmen Sjölander; Shamil Sunyaev; Ashley I Teufel; Jeffrey L Thorne; Joseph W Thornton; Daniel M Weinreich; Simon Whelan
Journal:  Protein Sci       Date:  2012-04-23       Impact factor: 6.725

8.  Issues and challenges of subvisible and submicron particulate analysis in protein solutions.

Authors:  Thomas M Scherer; Stephenie Leung; Laura Owyang; Steven J Shire
Journal:  AAPS J       Date:  2012-03-06       Impact factor: 4.009

9.  Deciphering modern glucocorticoid cross-pharmacology using ancestral corticosteroid receptors.

Authors:  Jeffrey A Kohn; Kirti Deshpande; Eric A Ortlund
Journal:  J Biol Chem       Date:  2012-03-21       Impact factor: 5.157

10.  Towards an integrated understanding of the structural characteristics of protein residue networks.

Authors:  Susan Khor
Journal:  Theory Biosci       Date:  2011-09-27       Impact factor: 1.919

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