BAIT
GAL10
bifunctional UDP-glucose 4-epimerase/aldose 1-epimerase, L000000663, YBR019C
UDP-glucose-4-epimerase; catalyzes the interconversion of UDP-galactose and UDP-D-glucose in galactose metabolism; also catalyzes the conversion of alpha-D-glucose or alpha-D-galactose to their beta-anomers
GO Process (1)
GO Function (2)
GO Component (1)
Gene Ontology Biological Process
Gene Ontology Molecular Function
Saccharomyces cerevisiae (S288c)
PREY
GAL4
GAL81, galactose-responsive transcription factor GAL4, L000000661, YPL248C
DNA-binding transcription factor required for activating GAL genes; responds to galactose; repressed by Gal80p and activated by Gal3p
GO Process (2)
GO Function (5)
GO Component (1)
Gene Ontology Biological Process
Gene Ontology Molecular Function- RNA polymerase II core promoter proximal region sequence-specific DNA binding [IDA]
- RNA polymerase II core promoter proximal region sequence-specific DNA binding transcription factor activity involved in positive regulation of transcription [IDA, IMP]
- RNA polymerase II transcription factor binding [IDA, IPI]
- sequence-specific DNA binding [IDA]
- sequence-specific transcription regulatory region DNA binding RNA polymerase II transcription factor recruiting transcription factor activity [IGI, IMP, IPI]
- RNA polymerase II core promoter proximal region sequence-specific DNA binding [IDA]
- RNA polymerase II core promoter proximal region sequence-specific DNA binding transcription factor activity involved in positive regulation of transcription [IDA, IMP]
- RNA polymerase II transcription factor binding [IDA, IPI]
- sequence-specific DNA binding [IDA]
- sequence-specific transcription regulatory region DNA binding RNA polymerase II transcription factor recruiting transcription factor activity [IGI, IMP, IPI]
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.
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
- -3.01 [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