STRING 9.05 
  Ins2 protein (Mus musculus) - STRING network view
 

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

 
   
Your Input:
Ins2
insulin II Gene; Insulin decreases blood glucose concentration. It increases cell permeability to monosaccharides, amino acids and fatty acids. It accelerates glycolysis, the pentose phosphate cycle, and glycogen synthesis in liver (110 aa)
(Mus musculus)
Predicted Functional Partners:
Pcsk2
proprotein convertase subtilisin/kexin type 2 Gene; Involved in the processing of hormone and o [...] (637 aa)
      0.972
Cpe
carboxypeptidase E Gene; Removes residual C-terminal Arg or Lys remaining after initial endopro [...] (476 aa)
      0.971
Insr
insulin receptor Gene; This receptor binds insulin and has a tyrosine-protein kinase activity. [...] (1372 aa)
     0.970
Pcsk1
proprotein convertase subtilisin/kexin type 1 Gene; Involved in the processing of hormone and o [...] (753 aa)
      0.968
Ins1
insulin I Gene; Insulin decreases blood glucose concentration. It increases cell permeability t [...] (108 aa)
    0.967
Irs2
insulin receptor substrate 2 Gene; May mediate the control of various cellular processes by ins [...] (1321 aa)
      0.960
Irs1
insulin receptor substrate 1 Gene; May mediate the control of various cellular processes by ins [...] (1231 aa)
      0.960
Ghrl
ghrelin Gene; Ghrelin is the ligand for growth hormone secretagogue receptor type 1 (GHSR). Ind [...] (117 aa)
      0.952
Iapp
islet amyloid polypeptide Gene; Selectively inhibits insulin-stimulated glucose utilization and [...] (93 aa)
      0.932
Stx1a
syntaxin 1A (brain) Gene; Potentially involved in docking of synaptic vesicles at presynaptic a [...] (288 aa)
      0.926
 
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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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