Literature DB >> 12443510

Lack of self-averaging in neutral evolution of proteins.

Ugo Bastolla1, Markus Porto, H Eduardo Roman, Michele Vendruscolo.   

Abstract

We simulate neutral evolution of proteins imposing conservation of the thermodynamic stability of the native state in the framework of an effective model of folding thermodynamics. This procedure generates evolutionary trajectories in sequence space which share two universal features for all of the examined proteins. First, the number of neutral mutations fluctuates broadly from one sequence to another, leading to a non-Poissonian substitution process. Second, the number of neutral mutations displays strong correlations along the trajectory, thus causing the breakdown of self-averaging of the resulting evolutionary substitution process.

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Year:  2002        PMID: 12443510     DOI: 10.1103/PhysRevLett.89.208101

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


  15 in total

1.  Bifunctional aldehyde/alcohol dehydrogenase (ADHE) in chlorophyte algal mitochondria.

Authors:  Ariane Atteia; Robert van Lis; Guillermo Mendoza-Hernández; Katrin Henze; William Martin; Hector Riveros-Rosas; Diego González-Halphen
Journal:  Plant Mol Biol       Date:  2003-09       Impact factor: 4.076

2.  Statistical properties of neutral evolution.

Authors:  Ugo Bastolla; Markus Porto; H Eduardo Roman; Michele Vendruscolo
Journal:  J Mol Evol       Date:  2003       Impact factor: 2.395

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.  Thermodynamics of neutral protein evolution.

Authors:  Jesse D Bloom; Alpan Raval; Claus O Wilke
Journal:  Genetics       Date:  2006-11-16       Impact factor: 4.562

5.  Epistasis increases the rate of conditionally neutral substitution in an adapting population.

Authors:  Jeremy A Draghi; Todd L Parsons; Joshua B Plotkin
Journal:  Genetics       Date:  2011-02-01       Impact factor: 4.562

6.  Mutation bias favors protein folding stability in the evolution of small populations.

Authors:  Raul Mendez; Miriam Fritsche; Markus Porto; Ugo Bastolla
Journal:  PLoS Comput Biol       Date:  2010-05-06       Impact factor: 4.475

7.  Comparison of translation loads for standard and alternative genetic codes.

Authors:  Stefanie Gabriele Sammet; Ugo Bastolla; Markus Porto
Journal:  BMC Evol Biol       Date:  2010-06-14       Impact factor: 3.260

8.  A protein evolution model with independent sites that reproduces site-specific amino acid distributions from the Protein Data Bank.

Authors:  Ugo Bastolla; Markus Porto; H Eduardo Roman; Michele Vendruscolo
Journal:  BMC Evol Biol       Date:  2006-05-31       Impact factor: 3.260

9.  A maximum likelihood framework for protein design.

Authors:  Claudia L Kleinman; Nicolas Rodrigue; Cécile Bonnard; Hervé Philippe; Nicolas Lartillot
Journal:  BMC Bioinformatics       Date:  2006-06-29       Impact factor: 3.169

10.  Neutral evolution of protein-protein interactions: a computational study using simple models.

Authors:  Josselin Noirel; Thomas Simonson
Journal:  BMC Struct Biol       Date:  2007-11-19
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