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


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.

SUBMITTER: Hillenmeyer ME 

PROVIDER: S-EPMC2864570 | biostudies-literature | 2010

REPOSITORIES: biostudies-literature

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

Hillenmeyer Maureen E ME   Ericson Elke E   Davis Ronald W RW   Nislow Corey C   Koller Daphne D   Giaever Guri G  

Genome biology 20100312 3


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  ...[more]

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