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  Map3k7 protein (Mus musculus) - STRING interaction network
 

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

 
   
Your Input:
Map3k7
mitogen activated protein kinase kinase kinase 7; Component of a protein kinase signal transduction cascade. Mediator of TGF-beta signal transduction. Stimulates NF- kappa-B activation and the p38 MAPK pathway (606 aa)
(Mus musculus)
Predicted Functional Partners:
Map3k7ip2
mitogen-activated protein kinase kinase kinase 7 interacting protein 2; Regulates the IL1-media [...] (693 aa)
     0.996
Map3k7ip1
mitogen-activated protein kinase kinase kinase 7 interacting protein 1; May be an important sig [...] (502 aa)
     0.993
Traf6
Tnf receptor-associated factor 6; Adapter protein and signal transducer that links members of t [...] (530 aa)
     0.975
Bcl10
B-cell leukemia/lymphoma 10; Promotes apoptosis, pro-caspase-9 maturation and activation of NF- [...] (277 aa)
     0.962
Ikbkg
inhibitor of kappaB kinase gamma; Regulatory subunit of the IKK core complex which phosphorylat [...] (430 aa)
     0.960
Card11
caspase recruitment domain family, member 11; Activates NF-kappa-B via BCL10 and IKK. Stimulate [...] (1159 aa)
     0.958
Ctgf
connective tissue growth factor; Major connective tissue mitoattractant secreted by vascular en [...] (348 aa)
       0.956
Malt1
mucosa associated lymphoid tissue lymphoma translocation gene 1; Enhances BCL10-induced activat [...] (821 aa)
      0.955
Chuk
conserved helix-loop-helix ubiquitous kinase; Acts as part of the IKK complex in the convention [...] (745 aa)
    0.955
Ikbkb
inhibitor of kappaB kinase beta; Acts as part of the IKK complex in the conventional pathway of [...] (757 aa)
    0.954
 
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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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