BAIT
UBA1
A1S9, A1S9T, A1ST, AMCX1, CFAP124, GXP1, POC20, SMAX2, UBA1A, UBE1, UBE1X, CTD-2522E6.1
ubiquitin-like modifier activating enzyme 1
GO Process (3)
GO Function (4)
GO Component (10)
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
Homo sapiens
PREY
MAPK3
ERK-1, ERK1, ERT2, HS44KDAP, HUMKER1A, P44ERK1, P44MAPK, PRKM3, p44-ERK1, p44-MAPK
mitogen-activated protein kinase 3
GO Process (52)
GO Function (3)
GO Component (12)
Gene Ontology Biological Process
- BMP signaling pathway [IMP]
- DNA damage induced protein phosphorylation [IDA]
- Fc-epsilon receptor signaling pathway [TAS]
- Fc-gamma receptor signaling pathway involved in phagocytosis [TAS]
- JAK-STAT cascade involved in growth hormone signaling pathway [TAS]
- MAPK cascade [NAS, TAS]
- MyD88-dependent toll-like receptor signaling pathway [TAS]
- MyD88-independent toll-like receptor signaling pathway [TAS]
- Ras protein signal transduction [TAS]
- TRIF-dependent toll-like receptor signaling pathway [TAS]
- activation of MAPK activity [TAS]
- activation of MAPKK activity [TAS]
- axon guidance [TAS]
- blood coagulation [TAS]
- caveolin-mediated endocytosis [TAS]
- cellular response to mechanical stimulus [IEP]
- cytokine-mediated signaling pathway [TAS]
- epidermal growth factor receptor signaling pathway [TAS]
- fibroblast growth factor receptor signaling pathway [TAS]
- gene expression [TAS]
- innate immune response [TAS]
- insulin receptor signaling pathway [TAS]
- interleukin-1-mediated signaling pathway [IMP]
- neurotrophin TRK receptor signaling pathway [TAS]
- peptidyl-tyrosine autophosphorylation [IDA]
- phosphorylation [IDA]
- platelet activation [TAS]
- positive regulation of ERK1 and ERK2 cascade [IMP]
- positive regulation of histone acetylation [IMP]
- positive regulation of histone phosphorylation [IMP]
- positive regulation of protein phosphorylation [IMP]
- positive regulation of transcription from RNA polymerase II promoter [IMP]
- protein phosphorylation [IDA]
- regulation of Golgi inheritance [TAS]
- regulation of cytoskeleton organization [TAS]
- regulation of early endosome to late endosome transport [TAS]
- regulation of sequence-specific DNA binding transcription factor activity [TAS]
- regulation of stress-activated MAPK cascade [TAS]
- response to epidermal growth factor [IDA]
- small GTPase mediated signal transduction [TAS]
- stress-activated MAPK cascade [TAS]
- toll-like receptor 10 signaling pathway [TAS]
- toll-like receptor 2 signaling pathway [TAS]
- toll-like receptor 3 signaling pathway [TAS]
- toll-like receptor 4 signaling pathway [TAS]
- toll-like receptor 5 signaling pathway [TAS]
- toll-like receptor 9 signaling pathway [TAS]
- toll-like receptor TLR1:TLR2 signaling pathway [TAS]
- toll-like receptor TLR6:TLR2 signaling pathway [TAS]
- toll-like receptor signaling pathway [TAS]
- transcription from RNA polymerase I promoter [TAS]
- transcription initiation from RNA polymerase I promoter [TAS]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
Homo sapiens
Co-fractionation
Interaction inferred from the presence of two or more protein subunits in a partially purified protein preparation. If co-fractionation is demonstrated between 3 or more proteins, then add them as a complex.
Publication
Panorama of ancient metazoan macromolecular complexes
Macromolecular complexes are essential to conserved biological processes, but their prevalence across animals is unclear. By combining extensive biochemical fractionation with quantitative mass spectrometry, here we directly examined the composition of soluble multiprotein complexes among diverse metazoan models. Using an integrative approach, we generated a draft conservation map consisting of more than one million putative high-confidence co-complex interactions for species ... [more]
Nature Sep. 17, 2015; 525(7569);339-44 [Pubmed: 26344197]
Quantitative Score
- 0.146844029 [Confidence Score]
Throughput
- High Throughput
Additional Notes
- Fractionation was combined with mass spectrometry from five diverse animal species to predict co-complex protein interactions conserved across metazoa using an integrative computational scoring procedure along with an SVM approach. The significant data set of 16655 PPI, was derived from a set of more than 1M interactions by examining a ROC curve of predicted interactions against reference annotated complexes at a 67.5% cumulative precision.
Curated By
- BioGRID