Unbound MEDLINE

Coevolution at protein complex interfaces can be detected by the complementarity trace with important impact for predictive docking. Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] Journal article

 
TitleCoevolution at protein complex interfaces can be detected by the complementarity trace with important impact for predictive docking.
Author(s)Madaoui H, Guerois R 
InstitutionCommissariat à l'Energie Atomique (CEA), Institut de Biologie et Technologies de Saclay, and Centre National de la Recherche Scientifique (CNRS), Gif-sur-Yvette, F-91191, France.
SourceProc Natl Acad Sci U S A 2008 Jun 3; 105(22):7708-13.
MeSHComputational Biology
Evolution, Molecular
Mutation
Protein Conformation
Protein Interaction Mapping
Proteins
AbstractProtein surfaces are under significant selection pressure to maintain interactions with their partners throughout evolution. Capturing how selection pressure acts at the interfaces of protein-protein complexes is a fundamental issue with high interest for the structural prediction of macromolecular assemblies. We tackled this issue under the assumption that, throughout evolution, mutations should minimally disrupt the physicochemical compatibility between specific clusters of interacting residues. This constraint drove the development of the so-called Surface COmplementarity Trace in Complex History score (SCOTCH), which was found to discriminate with high efficiency the structure of biological complexes. SCOTCH performances were assessed not only with respect to other evolution-based approaches, such as conservation and coevolution analyses, but also with respect to statistically based scoring methods. Validated on a set of 129 complexes of known structure exhibiting both permanent and transient intermolecular interactions, SCOTCH appears as a robust strategy to guide the prediction of protein-protein complex structures. Of particular interest, it also provides a basic framework to efficiently track how protein surfaces could evolve while keeping their partners in contact.
Languageeng
Pub Type(s)Journal Article
Research Support, Non-U.S. Gov't
Validation Studies
PubMed ID18511568
  
Advertise on this site.