Abstract

The availability of over 20 fully sequenced genomes has driven the development of new methods to find protein function and interactions. Here we group proteins by correlated evolution, correlated messenger RNA expression patterns and patterns of domain fusion to determine functional relationships among the 6,217 proteins of the yeast Saccharomyces cerevisiae. Using these methods, we discover over 93,000 pairwise links between functionally related yeast proteins. Links between characterized and uncharacterized proteins allow a general function to be assigned to more than half of the 2,557 previously uncharacterized yeast proteins. Examples of functional links are given for a protein family of previously unknown function, a protein whose human homologues are implicated in colon cancer and the yeast prion Sup35.

Keywords

Saccharomyces cerevisiaeYeastGenomeComputational biologyFunction (biology)BiologyFusion proteinGeneticsPairwise comparisonGeneComputer scienceRecombinant DNA

MeSH Terms

AlgorithmsColorectal NeoplasmsDNA-Binding ProteinsEvolutionMolecularFungal ProteinsHumansPeptide Termination FactorsPhylogenyPrionsRNAMessengerSaccharomyces cerevisiaeSaccharomyces cerevisiae Proteins

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Publication Info

Year
1999
Type
article
Volume
402
Issue
6757
Pages
83-86
Citations
913
Access
Closed

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Cite This

Edward M. Marcotte, Matteo Pellegrini, Michael J. Thompson et al. (1999). A combined algorithm for genome-wide prediction of protein function. Nature , 402 (6757) , 83-86. https://doi.org/10.1038/47048

Identifiers

DOI
10.1038/47048
PMID
10573421

Data Quality

Data completeness: 81%