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  Vav1 protein (Mus musculus) - STRING interaction network
 

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

 
   
Your Input:
Vav1
vav 1 oncogene; Couples tyrosine kinase signals with the activation of the Rho/Rac GTPases, thus leading to cell differentiation and/or proliferation (845 aa)
(Mus musculus)
Predicted Functional Partners:
Lcp2
lymphocyte cytosolic protein 2; Involved in T-cell antigen receptor mediated signaling (533 aa)
     0.999
Syk
spleen tyrosine kinase; Positive effector of BCR-stimulated responses. Couples the B-cell antig [...] (629 aa)
     0.991
Cd19
CD19 antigen; Assembles with the antigen receptor of B lymphocytes in order to decrease the thr [...] (547 aa)
     0.991
Fyn
Fyn proto-oncogene; Implicated in the control of cell growth. Plays a role in the regulation of [...] (537 aa)
    0.980
Cdc42
cell division cycle 42 homolog (S. cerevisiae); Plasma membrane-associated small GTPase which c [...] (191 aa)
      0.977
Cd28
CD28 antigen; Possibly involved in T-cell activation (218 aa)
      0.977
Rhoa
ras homolog gene family, member A; Regulates a signal transduction pathway linking plasma membr [...] (193 aa)
      0.976
Rac2
RAS-related C3 botulinum substrate 2; Plasma membrane-associated small GTPase which cycles betw [...] (192 aa)
      0.970
Rhog
ras homolog gene family, member G; Required for the formation of membrane ruffles during macrop [...] (191 aa)
      0.968
Hcst
hematopoietic cell signal transducer; Transmembrane adapter protein which associates with NKG2D [...] (79 aa)
       0.960
 
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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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additional (white) nodes         or: network depth
       

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