BAIT
ACVR1B
ACTRIB, ACVRLK4, ALK4, SKR2
activin A receptor, type IB
GO Process (14)
GO Function (11)
GO Component (4)
Gene Ontology Biological Process
- G1/S transition of mitotic cell cycle [IDA]
- activin receptor signaling pathway [IDA, IMP]
- extrinsic apoptotic signaling pathway [IMP]
- negative regulation of cell growth [IDA]
- nodal signaling pathway [IGI]
- peptidyl-threonine phosphorylation [IDA]
- positive regulation of activin receptor signaling pathway [IDA]
- positive regulation of erythrocyte differentiation [IDA]
- positive regulation of trophoblast cell migration [IDA]
- protein autophosphorylation [IDA]
- protein phosphorylation [IDA]
- regulation of transcription, DNA-templated [IDA]
- signal transduction [IDA]
- transmembrane receptor protein serine/threonine kinase signaling pathway [TAS]
Gene Ontology Molecular Function- ATP binding [IDA]
- SMAD binding [IDA]
- activin binding [IDA]
- activin receptor activity, type I [IDA, TAS]
- activin-activated receptor activity [IDA]
- growth factor binding [IPI]
- inhibin binding [IPI]
- protein binding [IPI]
- protein serine/threonine kinase activity [EXP, IDA]
- transmembrane receptor protein serine/threonine kinase activity [NAS]
- ubiquitin protein ligase binding [NAS]
- ATP binding [IDA]
- SMAD binding [IDA]
- activin binding [IDA]
- activin receptor activity, type I [IDA, TAS]
- activin-activated receptor activity [IDA]
- growth factor binding [IPI]
- inhibin binding [IPI]
- protein binding [IPI]
- protein serine/threonine kinase activity [EXP, IDA]
- transmembrane receptor protein serine/threonine kinase activity [NAS]
- ubiquitin protein ligase binding [NAS]
Gene Ontology Cellular Component
Homo sapiens
PREY
PGRMC1
HPR6.6, MPR
progesterone receptor membrane component 1
GO Process (0)
GO Function (2)
GO Component (4)
Gene Ontology Molecular Function
Gene Ontology Cellular Component
Homo sapiens
Affinity Capture-MS
An interaction is inferred when a bait protein is affinity captured from cell extracts by either polyclonal antibody or epitope tag and the associated interaction partner is identified by mass spectrometric methods.
Publication
Multiplexed kinase interactome profiling quantifies cellular network activity and plasticity.
Dynamic changes in protein-protein interaction (PPI) networks underlie all physiological cellular functions and drive devastating human diseases. Profiling PPI networks can, therefore, provide critical insight into disease mechanisms and identify new drug targets. Kinases are regulatory nodes in many PPI networks; yet, facile methods to systematically study kinase interactome dynamics are lacking. We describe kinobead competition and correlation analysis (kiCCA), ... [more]
Mol Cell Mar. 02, 2023; 83(5);803-818.e8 [Pubmed: 36736316]
Quantitative Score
- 0.655545209 [kiCCA Pearson R Value]
Throughput
- High Throughput
Additional Notes
- A kinobead competition and correlation analysis (kiCCA) involving a quantitative mass spectrometry-based chemoproteomic method was carried out to identify endogenous kinase interactors.
- High confidence interactions had a kiCCA Pearson R Value >=0.6.
Curated By
- BioGRID