BAIT

GAL3

transcriptional regulator GAL3, L000000660, YDR009W
Transcriptional regulator; involved in activation of the GAL genes in response to galactose; forms a complex with Gal80p to relieve Gal80p inhibition of Gal4p; binds galactose and ATP but does not have galactokinase activity; GAL3 has a paralog, GAL1, that arose from the whole genome duplication
GO Process (3)
GO Function (1)
GO Component (2)

Gene Ontology Biological Process

Gene Ontology Molecular Function

Gene Ontology Cellular Component

Saccharomyces cerevisiae (S288c)
PREY

LAP3

BLH1, GAL6, YCP1, L000002502, L000000929, YNL239W
Cysteine aminopeptidase with homocysteine-thiolactonase activity; protects cells against homocysteine toxicity; has bleomycin hydrolase activity in vitro; transcription is regulated by galactose via Gal4p; orthologous to human BLMH
Saccharomyces cerevisiae (S288c)

Negative Genetic

Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a more severe fitness defect or lethality under a given condition. This term is reserved for high or low throughput studies with scores.

Publication

Quantitative epistasis analysis and pathway inference from genetic interaction data.

Phenix H, Morin K, Batenchuk C, Parker J, Abedi V, Yang L, Tepliakova L, Perkins TJ, Kaern M

Inferring regulatory and metabolic network models from quantitative genetic interaction data remains a major challenge in systems biology. Here, we present a novel quantitative model for interpreting epistasis within pathways responding to an external signal. The model provides the basis of an experimental method to determine the architecture of such pathways, and establishes a new set of rules to infer ... [more]

PLoS Comput. Biol. May. 01, 2011; 7(5);e1002048 [Pubmed: 21589890]

Quantitative Score

  • -0.46 [SGA Score]

Throughput

  • Low Throughput

Ontology Terms

  • phenotype: vegetative growth (APO:0000106)

Additional Notes

  • An epistasis analysis was carried out to quantitatively score galactose-dependent genetic interactions based on fitness defects estimated from the growth rate of double versus single mutants. Significant genetic interactions were identified using a p-value threshold of 0.05.

Curated By

  • BioGRID