| Literature DB >> 10200254 |
M Pellegrini1, E M Marcotte, M J Thompson, D Eisenberg, T O Yeates.
Abstract
Determining protein functions from genomic sequences is a central goal of bioinformatics. We present a method based on the assumption that proteins that function together in a pathway or structural complex are likely to evolve in a correlated fashion. During evolution, all such functionally linked proteins tend to be either preserved or eliminated in a new species. We describe this property of correlated evolution by characterizing each protein by its phylogenetic profile, a string that encodes the presence or absence of a protein in every known genome. We show that proteins having matching or similar profiles strongly tend to be functionally linked. This method of phylogenetic profiling allows us to predict the function of uncharacterized proteins.Mesh:
Substances:
Year: 1999 PMID: 10200254 PMCID: PMC16324 DOI: 10.1073/pnas.96.8.4285
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205