STRING 9.05 
  TNFRSF10B protein (Homo sapiens) - STRING network view

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

Your Input:
tumor necrosis factor receptor superfamily, member 10b; Receptor for the cytotoxic ligand TNFSF10/TRAIL. The adapter molecule FADD recruits caspase-8 to the activated receptor. The resulting death-inducing signaling complex (DISC) performs caspase-8 proteolytic activation which initiates the subsequent cascade of caspases (aspartate-specific cysteine proteases) mediating apoptosis. Promotes the activation of NF- kappa-B (440 aa)
(Homo sapiens)
Predicted Functional Partners:
tumor necrosis factor (ligand) superfamily, member 10; Cytokine that binds to TNFRSF10A/TRAILR1 [...] (281 aa)
caspase 8, apoptosis-related cysteine peptidase; Most upstream protease of the activation casca [...] (538 aa)
Fas (TNFRSF6)-associated via death domain; Apoptotic adaptor molecule that recruits caspase-8 o [...] (208 aa)
CASP8 and FADD-like apoptosis regulator; Apoptosis regulator protein which may function as a cr [...] (480 aa)
caspase 10, apoptosis-related cysteine peptidase; Involved in the activation cascade of caspase [...] (522 aa)
tumor protein p53; Acts as a tumor suppressor in many tumor types; induces growth arrest or apo [...] (393 aa)
TNFRSF1A-associated via death domain; Adapter molecule for TNFRSF1A/TNFR1 that specifically ass [...] (312 aa)
receptor (TNFRSF)-interacting serine-threonine kinase 1; Involved in the transduction of TNF si [...] (671 aa)
inhibitor of kappa light polypeptide gene enhancer in B-cells, kinase beta; Acts as part of the [...] (756 aa)
inhibitor of kappa light polypeptide gene enhancer in B-cells, kinase gamma; Regulatory subunit [...] (487 aa)
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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:
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Co-expression Experiments Databases Textmining
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