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 Terms
Bacterial Proteins/chemistry,genetics
Escherichia coli/genetics
Escherichia coli Proteins
Evolution, Molecular
Genome
Genome, Bacterial
Models, Biological
Open Reading Frames
Phylogeny
Proteins/chemistry,genetics
Ribosomal Proteins/chemistry
Chemicals
Bacterial Proteins
Escherichia coli Proteins
Proteins
Ribosomal Proteins
rplL protein, E coli
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Pellegrini M
Molecular Biology Institute and Departments of Energy Laboratory of Structural Biology and Molecular Medicine, University of California, Los Angeles, CA 90095-1570, USA.
Marcotte E M
Thompson M J
Eisenberg D
Yeates T O
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