INS protein (Homo sapiens) - STRING network view

STRING 9.05

INS protein (Homo sapiens) - 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:
	INS	insulin; 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 (200 aa)
		(Homo sapiens)
Predicted Functional Partners:
	INSR	insulin receptor; This receptor binds insulin and has a tyrosine-protein kinase activity. Isofo [...] (1382 aa)	•	•	•	0.999
	IRS1	insulin receptor substrate 1; May mediate the control of various cellular processes by insulin. [...] (1242 aa)		•	•	0.996
	AKT1	v-akt murine thymoma viral oncogene homolog 1; General protein kinase capable of phosphorylatin [...] (480 aa)		•	•	0.996
	IDE	insulin-degrading enzyme; Plays a role in the cellular breakdown of insulin, IAPP, glucagon, br [...] (1019 aa)	•		•	0.996
	IGFBP1	insulin-like growth factor binding protein 1; IGF-binding proteins prolong the half-life of the [...] (259 aa)		•	•	0.996
	IRS2	insulin receptor substrate 2; May mediate the control of various cellular processes by insulin (1338 aa)		•	•	0.996
	AKT2	v-akt murine thymoma viral oncogene homolog 2; General protein kinase capable of phosphorylatin [...] (481 aa)		•	•	0.994
	FOXO1	forkhead box O1; Transcription factor (655 aa)		•	•	0.994
	PTPN1	protein tyrosine phosphatase, non-receptor type 1; May play an important role in CKII- and p60c [...] (435 aa)		•	•	0.994
	GRB2	growth factor receptor-bound protein 2; Adapter protein that provides a critical link between c [...] (217 aa)		•	•	0.994

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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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