Literature DB >> 15537801

Prediction of site-specific amino acid distributions and limits of divergent evolutionary changes in protein sequences.

Markus Porto1, H Eduardo Roman, Michele Vendruscolo, Ugo Bastolla.   

Abstract

We derive an analytic expression for site-specific stationary distributions of amino acids from the structurally constrained neutral (SCN) model of protein evolution with conservation of folding stability. The stationary distributions that we obtain have a Boltzmann-like shape, and their effective temperature parameter, measuring the limit of divergent evolutionary changes at a given site, can be predicted from a site-specific topological property, the principal eigenvector of the contact matrix of the native conformation of the protein. These analytic results, obtained without free parameters, are compared with simulations of the SCN model and with the site-specific amino acid distributions obtained from the Protein Data Bank. These results also provide new insights into how the topology of a protein fold influences its designability, i.e., the number of sequences compatible with that fold. The dependence of the effective temperature on the principal eigenvector decreases for longer proteins, as a possible consequence of the fact that selection for thermodynamic stability becomes weaker in this case.

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Year:  2004        PMID: 15537801     DOI: 10.1093/molbev/msi048

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  16 in total

1.  Evolutionary conservation of protein backbone flexibility.

Authors:  Sandra Maguid; Sebastián Fernández-Alberti; Gustavo Parisi; Julián Echave
Journal:  J Mol Evol       Date:  2006-10-04       Impact factor: 2.395

2.  The relationship between relative solvent accessibility and evolutionary rate in protein evolution.

Authors:  Duncan C Ramsey; Michael P Scherrer; Tong Zhou; Claus O Wilke
Journal:  Genetics       Date:  2011-04-05       Impact factor: 4.562

3.  Maximum-Likelihood Phylogenetic Inference with Selection on Protein Folding Stability.

Authors:  Miguel Arenas; Agustin Sánchez-Cobos; Ugo Bastolla
Journal:  Mol Biol Evol       Date:  2015-04-02       Impact factor: 16.240

4.  A Comparison of One-Rate and Two-Rate Inference Frameworks for Site-Specific dN/dS Estimation.

Authors:  Stephanie J Spielman; Suyang Wan; Claus O Wilke
Journal:  Genetics       Date:  2016-08-17       Impact factor: 4.562

5.  Extensively Parameterized Mutation-Selection Models Reliably Capture Site-Specific Selective Constraint.

Authors:  Stephanie J Spielman; Claus O Wilke
Journal:  Mol Biol Evol       Date:  2016-08-10       Impact factor: 16.240

6.  Site-Specific Amino Acid Distributions Follow a Universal Shape.

Authors:  Mackenzie M Johnson; Claus O Wilke
Journal:  J Mol Evol       Date:  2020-11-24       Impact factor: 2.395

7.  Integrating sequence variation and protein structure to identify sites under selection.

Authors:  Austin G Meyer; Claus O Wilke
Journal:  Mol Biol Evol       Date:  2012-09-12       Impact factor: 16.240

8.  Amino-acid site variability among natural and designed proteins.

Authors:  Eleisha L Jackson; Noah Ollikainen; Arthur W Covert; Tanja Kortemme; Claus O Wilke
Journal:  PeerJ       Date:  2013-11-12       Impact factor: 2.984

Review 9.  Biophysical Models of Protein Evolution: Understanding the Patterns of Evolutionary Sequence Divergence.

Authors:  Julian Echave; Claus O Wilke
Journal:  Annu Rev Biophys       Date:  2017-03-15       Impact factor: 12.981

10.  A model for protein sequence evolution based on selective pressure for protein stability: application to hemoglobins.

Authors:  Lorraine Marsh
Journal:  Evol Bioinform Online       Date:  2009-08-27       Impact factor: 1.625

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