STRING 9.05 
  TGFB1 protein (Homo sapiens) - STRING network view

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

Your Input:
transforming growth factor, beta 1; Multifunctional protein that controls proliferation, differentiation and other functions in many cell types. Many cells synthesize TGFB1 and have specific receptors for it. It positively and negatively regulates many other growth factors. It plays an important role in bone remodeling as it is a potent stimulator of osteoblastic bone formation, causing chemotaxis, proliferation and differentiation in committed osteoblasts (390 aa)
(Homo sapiens)
Predicted Functional Partners:
transforming growth factor, beta receptor II (70/80kDa); On ligand binding, forms a receptor co [...] (592 aa)
transforming growth factor, beta receptor 1; On ligand binding, forms a receptor complex consis [...] (503 aa)
decorin; May affect the rate of fibrils formation (359 aa)
transforming growth factor, beta receptor III; Binds to TGF-beta. Could be involved in capturin [...] (851 aa)
latent transforming growth factor beta binding protein 1; May be involved in the assembly, secr [...] (1722 aa)
SMAD family member 2; Transcriptional modulator activated by TGF-beta and activin type 1 recept [...] (467 aa)
fibronectin 1; Fibronectins bind cell surfaces and various compounds including collagen, fibrin [...] (2477 aa)
SMAD family member 7; Antagonist of signaling by TGF-beta (transforming growth factor) type 1 r [...] (426 aa)
par-6 partitioning defective 6 homolog alpha (C. elegans); Adapter protein involved in asymmetr [...] (346 aa)
TIMP metallopeptidase inhibitor 1; Complexes with metalloproteinases (such as collagenases) and [...] (207 aa)
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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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