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Genome Biol. 2010;11(3):R30. doi: 10.1186/gb-2010-11-3-r30. Epub 2010 Mar 12.

Systematic analysis of genome-wide fitness data in yeast reveals novel gene function and drug action.

Author information

  • 1Biomedical Informatics, 251 Campus Drive, MSOB, Stanford University, Stanford, CA 94305, USA. maureenh@stanford.edu

Abstract

We systematically analyzed the relationships between gene fitness profiles (co-fitness) and drug inhibition profiles (co-inhibition) from several hundred chemogenomic screens in yeast. Co-fitness predicted gene functions distinct from those derived from other assays and identified conditionally dependent protein complexes. Co-inhibitory compounds were weakly correlated by structure and therapeutic class. We developed an algorithm predicting protein targets of chemical compounds and verified its accuracy with experimental testing. Fitness data provide a novel, systems-level perspective on the cell.

PMID:
20226027
[PubMed - indexed for MEDLINE]
PMCID:
PMC2864570
Free PMC Article

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