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

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

 
   
Your Input:
RARG
retinoic acid receptor, gamma; This is a receptor for retinoic acid. This metabolite has profound effects on vertebrate development. Retinoic acid is a morphogen and is a powerful teratogen. This receptor controls cell function by directly regulating gene expression (454 aa)
(Homo sapiens)
Predicted Functional Partners:
RXRA
retinoid X receptor, alpha; Nuclear hormone receptor. Involved in the retinoic acid response pa [...] (462 aa)
    0.964
RXRG
retinoid X receptor, gamma; Nuclear hormone receptor. Involved in the retinoic acid response pa [...] (463 aa)
    0.963
NR2F6
nuclear receptor subfamily 2, group F, member 6 (404 aa)
    0.959
NR0B2
nuclear receptor subfamily 0, group B, member 2; Acts as a negative regulator of receptor-depen [...] (257 aa)
      0.908
VDR
vitamin D (1,25- dihydroxyvitamin D3) receptor; Nuclear hormone receptor. Transcription factor [...] (427 aa)
     0.906
ESR1
estrogen receptor 1; Nuclear hormone receptor. The steroid hormones and their receptors are inv [...] (595 aa)
     0.906
PPARG
peroxisome proliferator-activated receptor gamma; Receptor that binds peroxisome proliferators [...] (505 aa)
     0.905
THRB
thyroid hormone receptor, beta (erythroblastic leukemia viral (v-erb-a) oncogene homolog 2, avi [...] (461 aa)
     0.905
PPARA
peroxisome proliferator-activated receptor alpha; Ligand-activated transcription factor. Key re [...] (468 aa)
     0.904
THRA
thyroid hormone receptor, alpha (erythroblastic leukemia viral (v-erb-a) oncogene homolog, avia [...] (490 aa)
     0.904
 
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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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