A Model for Protein Sequence Evolution Based on Selective Pressure for Protein Stability: Application to Hemoglobins
Author(s) -
Lorraine Marsh
Publication year - 2009
Publication title -
evolutionary bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.502
H-Index - 32
ISSN - 1176-9343
DOI - 10.4137/ebo.s3120
Subject(s) - protein evolution , protein stability , stability (learning theory) , selection (genetic algorithm) , protein structure , computational biology , protein folding , biology , computer science , genetics , biochemistry , gene , artificial intelligence , machine learning
Negative selection against protein instability is a central influence on evolution of proteins. Protein stability is maintained over evolution despite changes in underlying sequences. An empirical all-site stability-based model of evolution was developed to focus on the selection of residues arising from their contributions to protein stability. In this model, site rates could vary. A structure-based method was used to predict stationary frequencies of hemoglobin residues based on their propensity to promote protein stability at a site. Sites with destabilizing residues were shown to change more rapidly in hemoglobins than sites with stabilizing residues. For diverse proteins the results were consistent with stability-based selection. Maximum likelihood studies with hemoglobins supported the stability-based model over simple Poisson-based methods. These observations are consistent with suggestions that purifying selection to maintain protein structural stability plays a dominant role in protein evolution.
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