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  Gck protein (Mus musculus) - STRING interaction network
 

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

 
   
Your Input:
Gck
glucokinase; Catalyzes the initial step in utilization of glucose by the beta-cell and liver at physiological glucose concentration. Pancreatic glucokinase plays an important role in modulating insulin secretion. Hepatic glucokinase helps to facilitate the uptake and conversion of glucose by acting as an insulin-sensitive determinant of hepatic glucose usage (465 aa)
(Mus musculus)
Predicted Functional Partners:
Pdx1
pancreatic and duodenal homeobox 1; Activates insulin and somatostatin gene transcription. Key [...] (284 aa)
      0.978
Pklr
pyruvate kinase liver and red blood cell (574 aa)
      0.975
Foxa2
forkhead box A2; Transcription activator for a number of liver genes such as AFP, albumin, tyro [...] (459 aa)
      0.969
Bad
Bcl-associated death promoter; Promotes cell death. Successfully competes for the binding to Bc [...] (204 aa)
      0.958
Foxo1
forkhead box O1; Transcription factor (By similarity) (652 aa)
      0.950
Neurod1
neurogenic differentiation 1; Differentiation factor required for dendrite morphogenesis and ma [...] (357 aa)
      0.949
Bhlhb4
basic helix-loop-helix domain containing, class B4; May function as transcriptional repressor. [...] (223 aa)
       0.932
Lct
lactase (1931 aa)
      0.927
Galm
galactose mutarotase; Mutarotase converts alpha-aldose to the beta-anomer. It is active on D-gl [...] (342 aa)
       0.919
Glb1
galactosidase, beta 1; Cleaves beta-linked terminal galactosyl residues from gangliosides, glyc [...] (755 aa)
      0.917
 
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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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