Ins1 protein (Mus musculus) - STRING network view

STRING 9.05

Ins1 protein (Mus musculus) - STRING network view

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




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Your Input:
	Ins1	insulin I 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 (108 aa)
		(Mus musculus)
Predicted Functional Partners:
	Ins2	insulin II Gene; Insulin decreases blood glucose concentration. It increases cell permeability [...] (110 aa)	•		•	•	•	0.967
	Pdx1	pancreatic and duodenal homeobox 1 Gene; Activates insulin and somatostatin gene transcription. [...] (284 aa)			•	•		0.953
	Irs2	insulin receptor substrate 2 Gene; May mediate the control of various cellular processes by ins [...] (1321 aa)			•	•		0.949
	Irs1	insulin receptor substrate 1 Gene; May mediate the control of various cellular processes by ins [...] (1231 aa)			•	•		0.948
	Insr	insulin receptor Gene; This receptor binds insulin and has a tyrosine-protein kinase activity. [...] (1372 aa)		•	•	•		0.948
	Nkx2-2	NK2 transcription factor related, locus 2 (Drosophila) Gene; May be involved in specifying dien [...] (273 aa)			•	•		0.944
	Foxa2	forkhead box A2 Gene; Transcription activator for a number of liver genes such as AFP, albumin, [...] (459 aa)			•	•		0.943
	Mafa	v-maf musculoaponeurotic fibrosarcoma oncogene family, protein A (avian) Gene; Acts as a transc [...] (359 aa)			•	•		0.940
	Foxo1	forkhead box O1 Gene; Transcription factor (By similarity) (652 aa)			•	•		0.939
	Ghrl	ghrelin Gene; Ghrelin is the ligand for growth hormone secretagogue receptor type 1 (GHSR). Ind [...] (117 aa)			•	•		0.939

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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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