BAIT

CDC23

anaphase promoting complex subunit CDC23, L000000261, YHR166C
Subunit of the Anaphase-Promoting Complex/Cyclosome (APC/C); APC/C is a ubiquitin-protein ligase required for degradation of anaphase inhibitors, including mitotic cyclins, during the metaphase/anaphase transition
GO Process (2)
GO Function (2)
GO Component (1)
Saccharomyces cerevisiae (S288c)
PREY

HSL1

ELM2, NIK1, protein kinase HSL1, L000003129, L000002839, YKL101W
Nim1p-related protein kinase; regulates the morphogenesis and septin checkpoints; associates with the assembled septin filament; required along with Hsl7p for bud neck recruitment, phosphorylation, and degradation of Swe1p
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

Functional wiring of the yeast kinome revealed by global analysis of genetic network motifs.

Sharifpoor S, van Dyk D, Costanzo M, Baryshnikova A, Friesen H, Douglas AC, Youn JY, Vandersluis B, Myers CL, Papp B, Boone C, Andrews BJ

A combinatorial genetic perturbation strategy was applied to interrogate the yeast kinome on a genome-wide scale. We assessed the global effects of gene overexpression or gene deletion to map an integrated genetic interaction network of synthetic dosage lethal (SDL) and loss-of-function genetic interactions (GIs) for 92 kinases, producing a meta-network of 8700 GIs enriched for pathways known to be regulated ... [more]

Unknown Feb. 17, 2012; 0(0); [Pubmed: 22282571]

Quantitative Score

  • -0.42 [SGA Score]

Throughput

  • High Throughput

Ontology Terms

  • phenotype: vegetative growth (APO:0000106)
  • phenotype: colony size (APO:0000063)

Additional Notes

  • score threshold <= -0.12, interaction detected by Synthetic Genetic Array (SGA)

Related interactions

InteractionExperimental Evidence CodeDatasetThroughputScoreCurated ByNotes
CDC23 HSL1
Negative Genetic
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.

High-0.4199BioGRID
386448
HSL1 CDC23
Negative Genetic
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.

High-0.5127BioGRID
2053964
CDC23 HSL1
Negative Genetic
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.

High-0.45BioGRID
1988735
HSL1 CDC23
Negative Genetic
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.

High-0.1016BioGRID
2426665
CDC23 HSL1
Negative Genetic
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.

High-0.7944BioGRID
2430345
HSL1 CDC23
Synthetic Lethality
Synthetic Lethality

A genetic interaction is inferred when mutations or deletions in separate genes, each of which alone causes a minimal phenotype, result in lethality when combined in the same cell under a given condition.

Low-BioGRID
158149

Curated By

  • BioGRID