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  Smad3 protein (Mus musculus) - STRING interaction network
 

This is the evidence view. Different line colors represent the types of evidence for the association.

 
   
Your Input:
Smad3
MAD homolog 3 (Drosophila); Transcriptional modulator activated by TGF-beta (transforming growth factor) and activin type 1 receptor kinase. SMAD3 is a receptor-regulated SMAD (R-SMAD) (By similarity) (425 aa)
(Mus musculus)
Predicted Functional Partners:
Tgfbr1
transforming growth factor, beta receptor I; On ligand binding, forms a receptor complex consis [...] (503 aa)
      0.998
Tgfb1
transforming growth factor, beta 1; Multifunctional protein that controls proliferation, differ [...] (390 aa)
      0.995
Tgfbr2
transforming growth factor, beta receptor II; On ligand binding, forms a receptor complex consi [...] (592 aa)
      0.993
Ski
Sloan-Kettering viral oncogene homolog; May play a role in terminal differentiation of skeletal [...] (727 aa)
     0.983
Smad7
MAD homolog 7 (Drosophila); Antagonist of signaling by TGF-beta (transforming growth factor) ty [...] (426 aa)
    0.973
Smurf1
SMAD specific E3 ubiquitin protein ligase 1; E3 ubiquitin-protein ligase which accepts ubiquiti [...] (714 aa)
     0.971
Acvr1b
activin A receptor, type 1B; On ligand binding, forms a receptor complex consisting of two type [...] (505 aa)
      0.971
Acvr1c
activin A receptor, type IC; Serine/threonine protein kinase which forms a receptor complex on [...] (481 aa)
      0.967
E2f5
E2F transcription factor 5; Transcriptional activator that binds to E2F sites, these sites are [...] (340 aa)
      0.966
Rbl1
retinoblastoma-like 1 (p107); Key regulator of entry into cell division. Directly involved in h [...] (1063 aa)
     0.966
 
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Info & Parameters ...
Network Display - Nodes are either colored (if they are directly linked to the input - as in the table) or white (nodes of a higher iteration/depth). Edges, i.e. predicted functional links, consist of up to eight lines: one color for each type of evidence. Hover or click to reveal more information about the node/edge.

Active Prediction Methods:
Neighborhood Gene Fusion Co-occurrence
Co-expression Experiments Databases Textmining
 
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