BAIT
E7
HpV5gp2
transforming protein
GO Process (0)
GO Function (0)
GO Component (0)
Human papillomavirus (5)
PREY
DNAJA3
HCA57, TID1, hTID-1
DnaJ (Hsp40) homolog, subfamily A, member 3
GO Process (18)
GO Function (7)
GO Component (13)
Gene Ontology Biological Process
- activation of cysteine-type endopeptidase activity involved in apoptotic process [IDA]
- mitochondrion organization [IBA]
- negative regulation of I-kappaB kinase/NF-kappaB signaling [IDA]
- negative regulation of NF-kappaB transcription factor activity [IDA]
- negative regulation of apoptotic process [IDA]
- negative regulation of cell proliferation [IDA]
- negative regulation of cysteine-type endopeptidase activity involved in apoptotic process [IDA]
- negative regulation of interferon-gamma-mediated signaling pathway [IDA]
- negative regulation of protein kinase activity [IDA]
- negative regulation of transcription from RNA polymerase II promoter [IDA]
- neuromuscular junction development [IDA]
- positive regulation of apoptotic process [IDA]
- positive regulation of protein ubiquitination [IDA]
- protein folding [IDA]
- protein refolding [IBA]
- protein stabilization [IDA]
- response to interferon-gamma [IDA]
- skeletal muscle acetylcholine-gated channel clustering [ISS]
Gene Ontology Molecular Function
Gene Ontology Cellular Component
- I-kappaB/NF-kappaB complex [IDA]
- IkappaB kinase complex [IDA]
- actin filament [IDA]
- cytoplasm [IDA]
- cytosol [IMP]
- extrinsic component of plasma membrane [ISS]
- intracellular membrane-bounded organelle [IDA]
- mitochondrial matrix [IDA]
- mitochondrial nucleoid [IDA]
- mitochondrion [IDA]
- neuromuscular junction [ISS]
- nucleus [IDA]
- postsynaptic membrane [ISS]
Homo sapiens
Two-hybrid
Bait protein expressed as a DNA binding domain (DBD) fusion and prey expressed as a transcriptional activation domain (TAD) fusion and interaction measured by reporter gene activation.
Publication
Interpreting cancer genomes using systematic host network perturbations by tumour virus proteins.
Genotypic differences greatly influence susceptibility and resistance to disease. Understanding genotype-phenotype relationships requires that phenotypes be viewed as manifestations of network properties, rather than simply as the result of individual genomic variations. Genome sequencing efforts have identified numerous germline mutations, and large numbers of somatic genomic alterations, associated with a predisposition to cancer. However, it remains difficult to distinguish background, ... [more]
Nature Jul. 26, 2012; 487(7408);491-5 [Pubmed: 22810586]
Throughput
- High Throughput
Curated By
- BioGRID