Rate4Site: an algorithmic tool for the identification of functional regions in proteins by surface mapping of evolutionary determinants within their homologues
The Institute of Statistical Mathematics · Tel Aviv University
Abstract
Abstract Motivation: A number of proteins of known three-dimensional (3D) structure exist, with yet unknown function. In light of the recent progress in structure determination methodology, this number is likely to increase rapidly. A novel method is presented here: ‘Rate4Site’, which maps the rate of evolution among homologous proteins onto the molecular surface of one of the homologues whose 3D-structure is known. Functionally important regions often correspond to surface patches of slowly evolving residues. Results: Rate4Site estimates the rate of evolution of amino acid sites using the maximum likelihood (ML) principle. The ML estimate of the rates considers the topology and branch lengths of the…
Citation impact
- FWCI
- 9.32
- Percentile
- 100%
- References
- 27
Authors
5Topics & keywords
- Phylogenetic tree
- Protein superfamily
- Computational biology
- Function (biology)
- Domain (mathematical analysis)
- Biology
- SH2 domain
- Protein domain