version_number_image
 
 

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

 
   
Your Input:
ENSG00000211947
Immunoglobulin heavy chain V gene segment (117 aa)
(Homo sapiens)
Predicted Functional Partners:
IGL@
Immunoglobulin Lambda light chain V gene segment (119 aa)
       0.729
VKA17
Immunoglobulin Kappa light chain V gene segment (121 aa)
       0.688
VL4
Immunoglobulin Lambda light chain V gene segment (116 aa)
       0.659
A3GALT2
alpha 1,3-galactosyltransferase 2 (isoglobotriaosylceramide synthase); Transfer of galactose fr [...] (332 aa)
       0.643
WNT16
Protein Wnt-16 precursor; Ligand for members of the frizzled family of seven transmembrane rece [...] (365 aa)
       0.621
IGKV1D-42
Immunoglobulin Kappa light chain V gene segment (118 aa)
       0.609
ZAP70
Tyrosine-protein kinase ZAP-70 (EC 2.7.10.2) (70 kDa zeta-associated protein) (Syk-related tyro [...] (628 aa)
       0.594
CD38
ADP-ribosyl cyclase 1 (EC 3.2.2.5) (Cyclic ADP-ribose hydrolase 1) (cADPr hydrolase 1) (Lymphoc [...] (300 aa)
       0.574
CD79B
B-cell antigen receptor complex-associated protein beta-chain precursor (B-cell-specific glycop [...] (229 aa)
       0.510
CD79A
B-cell antigen receptor complex-associated protein alpha-chain precursor (Ig-alpha) (MB-1 membr [...] (226 aa)
       0.474
 
  Views:                    
   Neighborhood  Fusion  Occurence  Coexpression  Experiments  Database  Textmining      Summary Network

 

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
 
required confidence (score): interactors shown:
or custom value: or custom limit:

additional (white) nodes         or: network depth