Literature DB >> 25165599

Biophysics of protein evolution and evolutionary protein biophysics.

Tobias Sikosek1, Hue Sun Chan2.   

Abstract

The study of molecular evolution at the level of protein-coding genes often entails comparing large datasets of sequences to infer their evolutionary relationships. Despite the importance of a protein's structure and conformational dynamics to its function and thus its fitness, common phylogenetic methods embody minimal biophysical knowledge of proteins. To underscore the biophysical constraints on natural selection, we survey effects of protein mutations, highlighting the physical basis for marginal stability of natural globular proteins and how requirement for kinetic stability and avoidance of misfolding and misinteractions might have affected protein evolution. The biophysical underpinnings of these effects have been addressed by models with an explicit coarse-grained spatial representation of the polypeptide chain. Sequence-structure mappings based on such models are powerful conceptual tools that rationalize mutational robustness, evolvability, epistasis, promiscuous function performed by 'hidden' conformational states, resolution of adaptive conflicts and conformational switches in the evolution from one protein fold to another. Recently, protein biophysics has been applied to derive more accurate evolutionary accounts of sequence data. Methods have also been developed to exploit sequence-based evolutionary information to predict biophysical behaviours of proteins. The success of these approaches demonstrates a deep synergy between the fields of protein biophysics and protein evolution.
© 2014 The Author(s) Published by the Royal Society. All rights reserved.

Keywords:  adaptation; conformational dynamics; hidden states; promiscuous functions; protein folding; protein–protein interactions

Mesh:

Substances:

Year:  2014        PMID: 25165599      PMCID: PMC4191086          DOI: 10.1098/rsif.2014.0419

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  420 in total

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Journal:  Biophys J       Date:  2004-10-22       Impact factor: 4.033

6.  Thermodynamic prediction of protein neutrality.

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Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-11       Impact factor: 11.205

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Journal:  PLoS Comput Biol       Date:  2010-12-02       Impact factor: 4.475

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Review 10.  Parallel dynamics and evolution: Protein conformational fluctuations and assembly reflect evolutionary changes in sequence and structure.

Authors:  Joseph A Marsh; Sarah A Teichmann
Journal:  Bioessays       Date:  2013-11-25       Impact factor: 4.345

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  82 in total

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7.  The utility of protein structure as a predictor of site-wise dN/dS varies widely among HIV-1 proteins.

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10.  Intermediate divergence levels maximize the strength of structure-sequence correlations in enzymes and viral proteins.

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