Find Protein-Protein Interactions (PPI) Network

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Visualization interactions

Powered by Cytoscape.js taxid = 1026970 for: protein(s) Acvr1c (from a repository: Thu Apr 12 12:04:52 2018)
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Statistics and Network structure information

Statistics of PPI Value(s)
The number of interactors (fusion and proteins)4
The number (and %) of the onco-proteins1 (25.00 %)
The number (and %) of the tumor suppressors1 (25.00 %)
Total number of binary PPIs (saturation %)6 (100.00 %)
The number (and %) of affected PPIs3 (50.00 %)
PPI diameter2
PPI radius1
The average degree of PPI2.000
Assortativity coefficient-0.3333
The network average Clustering coefficient0.583
The number (and %) of a zero Clustering coefficients1 (25.00 %)
The number (and %) of a zero Betweenness Centrality3 (75.00 %)

ACTIVE INTERACTORS


List of active interactors

Interactor,
Domain structure
Type Number
of PPI (degree)
Clustering
Coefficient
Betweenness
Centrality
Domains (Pfam ID): description
Acvr1c
user protein, tumor suppressor30.3334.000Activin_recp (PF01064): Activin types I and II receptor domain
TGF_beta_GS (PF08515): Transforming growth factor beta type I GS-motif
Pkinase_Tyr (PF07714): Protein tyrosine kinase
Hsp90aa1
oncogene31.0000HATPase_c (PF02518): Histidine kinase-, DNA gyrase B-, and HSP90-like ATPase
HSP90 (PF00183): Hsp90 protein
Inhbb
interactor100TGFb_propeptide (PF00688): TGF-beta propeptide
TGF_beta (PF00019): Transforming growth factor beta like domain
Tp53
tumor suppressor31.0000P53_TAD (PF08563): P53 transactivation motif
P53 (PF00870): P53 DNA-binding domain
P53_tetramer (PF07710): P53 tetramerisation motif

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