STRING 9.05 
  PDCD1LG2 protein (Homo sapiens) - STRING network view
 

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

 
   
Your Input:
PDCD1LG2
programmed cell death 1 ligand 2; Involved in the costimulatory signal, essential for T- cell proliferation and IFNG production in a PDCD1-independent manner. Interaction with PDCD1 inhibits T-cell proliferation by blocking cell cycle progression and cytokine production (By similarity) (273 aa)
(Homo sapiens)
Predicted Functional Partners:
PDCD1
programmed cell death 1; Possible cell death inducer, in association with other factors (288 aa)
     0.989
IL4
interleukin 4; Participates in at least several B-cell activation processes as well as of other [...] (153 aa)
       0.829
CTLA4
cytotoxic T-lymphocyte-associated protein 4; Possibly involved in T-cell activation. Binds to B [...] (223 aa)
       0.613
BTLA
B and T lymphocyte associated; Lymphocyte inhibitory receptor which inhibits lymphocytes during [...] (289 aa)
       0.567
IL10RA
interleukin 10 receptor, alpha; Receptor for IL10; binds IL10 with a high affinity (578 aa)
       0.530
CD4
CD4 molecule; Accessory protein for MHC class-II antigen/T-cell receptor interaction. May regul [...] (458 aa)
       0.524
CD40
CD40 molecule, TNF receptor superfamily member 5; Receptor for TNFSF5/CD40LG (277 aa)
       0.461
SLC25A30
solute carrier family 25, member 30; Probable transporter (By similarity) (291 aa)
       0.461
CD46
CD46 molecule, complement regulatory protein; Acts as a cofactor for complement factor I, a ser [...] (399 aa)
       0.430
RASGRP1
RAS guanyl releasing protein 1 (calcium and DAG-regulated); Functions as a diacylglycerol (DAG) [...] (797 aa)
       0.427
 
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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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