KT1
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
KAT1
Gene Ontology Biological Process
Gene Ontology Molecular Function
Gene Ontology Cellular Component
PCA
A Protein-Fragment Complementation Assay (PCA) is a protein-protein interaction assay in which a bait protein is expressed as fusion to one of the either N- or C- terminal peptide fragments of a reporter protein and prey protein is expressed as fusion to the complementary N- or C- terminal fragment of the same reporter protein. Interaction of bait and prey proteins bring together complementary fragments, which can then fold into an active reporter, e.g. the split-ubiquitin assay.
Publication
K+ channel interactions detected by a genetic system optimized for systematic studies of membrane protein interactions.
Organization of proteins into complexes is crucial for many cellular functions. However, most proteomic approaches primarily detect protein interactions for soluble proteins but are less suitable for membrane-associated complexes. Here we describe a mating-based split ubiquitin system (mbSUS) for systematic identification of interactions between membrane proteins as well as between membrane and soluble proteins. mbSUS allows in vivo cloning of ... [more]
Throughput
- Low Throughput
Additional Notes
- Split-ubiquitin assay
Related interactions
Interaction | Experimental Evidence Code | Dataset | Throughput | Score | Curated By | Notes |
---|---|---|---|---|---|---|
KAT1 KT1 | PCA PCA A Protein-Fragment Complementation Assay (PCA) is a protein-protein interaction assay in which a bait protein is expressed as fusion to one of the either N- or C- terminal peptide fragments of a reporter protein and prey protein is expressed as fusion to the complementary N- or C- terminal fragment of the same reporter protein. Interaction of bait and prey proteins bring together complementary fragments, which can then fold into an active reporter, e.g. the split-ubiquitin assay. | Low | - | BioGRID | 430127 |
Curated By
- BioGRID