Literature DB >> 15093835

Simulating protein evolution in sequence and structure space.

Yu Xia1, Michael Levitt.   

Abstract

Naturally occurring proteins comprise a special subset of all plausible sequences and structures selected through evolution. Simulating protein evolution with simplified and all-atom models has shed light on the evolutionary dynamics of protein populations, the nature of evolved sequences and structures, and the extent to which today's proteins are shaped by selection pressures on folding, structure and function. Extensive mapping of the native structure, stability and folding rate in sequence space using lattice proteins has revealed organizational principles of the sequence/structure map important for evolutionary dynamics. Evolutionary simulations with lattice proteins have highlighted the importance of fitness landscapes, evolutionary mechanisms, population dynamics and sequence space entropy in shaping the generic properties of proteins. Finally, evolutionary-like simulations with all-atom models, in particular computational protein design, have helped identify the dominant selection pressures on naturally occurring protein sequences and structures.

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Year:  2004        PMID: 15093835     DOI: 10.1016/j.sbi.2004.03.001

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  37 in total

1.  Evolvability and single-genotype fluctuation in phenotypic properties: a simple heteropolymer model.

Authors:  Tao Chen; David Vernazobres; Tetsuya Yomo; Erich Bornberg-Bauer; Hue Sun Chan
Journal:  Biophys J       Date:  2010-06-02       Impact factor: 4.033

2.  The emergence of scaling in sequence-based physical models of protein evolution.

Authors:  Eric J Deeds; Eugene I Shakhnovich
Journal:  Biophys J       Date:  2005-04-01       Impact factor: 4.033

3.  Predicting the tolerance of proteins to random amino acid substitution.

Authors:  Claus O Wilke; Jesse D Bloom; D Allan Drummond; Alpan Raval
Journal:  Biophys J       Date:  2005-09-08       Impact factor: 4.033

4.  Comparing folding codes in simple heteropolymer models of protein evolutionary landscape: robustness of the superfunnel paradigm.

Authors:  Richard Wroe; Erich Bornberg-Bauer; Hue Sun Chan
Journal:  Biophys J       Date:  2004-10-22       Impact factor: 4.033

5.  Thermodynamic prediction of protein neutrality.

Authors:  Jesse D Bloom; Jonathan J Silberg; Claus O Wilke; D Allan Drummond; Christoph Adami; Frances H Arnold
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-11       Impact factor: 11.205

6.  Protein stability promotes evolvability.

Authors:  Jesse D Bloom; Sy T Labthavikul; Christopher R Otey; Frances H Arnold
Journal:  Proc Natl Acad Sci U S A       Date:  2006-03-31       Impact factor: 11.205

Review 7.  Prevention of amyloid-like aggregation as a driving force of protein evolution.

Authors:  Elodie Monsellier; Fabrizio Chiti
Journal:  EMBO Rep       Date:  2007-08       Impact factor: 8.807

8.  A structural model of latent evolutionary potentials underlying neutral networks in proteins.

Authors:  Richard Wroe; Hue Sun Chan; Erich Bornberg-Bauer
Journal:  HFSP J       Date:  2007-05-21

9.  Universal distribution of protein evolution rates as a consequence of protein folding physics.

Authors:  Alexander E Lobkovsky; Yuri I Wolf; Eugene V Koonin
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-26       Impact factor: 11.205

10.  Trade-off between positive and negative design of protein stability: from lattice models to real proteins.

Authors:  Orly Noivirt-Brik; Amnon Horovitz; Ron Unger
Journal:  PLoS Comput Biol       Date:  2009-12-11       Impact factor: 4.475

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