hisE protein (Burkholderia sp. 383) - STRING interaction network

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




confidence	evidence	actions	interactive	advanced	more	less	save

Your Input:
	hisE	Phosphoribosyl-ATP pyrophosphatase (121 aa)
		(Burkholderia sp. 383)
Predicted Functional Partners:
	hisI	Phosphoribosyl-AMP cyclohydrolase (138 aa)	•	•	•	•	•	0.999
	hisG	ATP phosphoribosyltransferase; Catalyzes the condensation of ATP and 5-phosphoribose 1- diphosp [...] (217 aa)	•		•	•		0.998
	hisF	Imidazole glycerol phosphate synthase subunit hisF; IGPS catalyzes the conversion of PRFAR and [...] (257 aa)	•		•	•		0.996
	hisA	1-(5-phosphoribosyl)-5-[(5- phosphoribosylamino)methylideneamino] imidazole-4-carboxamide isome [...] (251 aa)	•		•	•		0.987
	hisB	Imidazoleglycerol-phosphate dehydratase (195 aa)	•		•			0.953
	hisH	Imidazole glycerol phosphate synthase subunit hisH; IGPS catalyzes the conversion of PRFAR and [...] (213 aa)	•		•			0.949
	hisD	Histidinol dehydrogenase; Catalyzes the sequential NAD-dependent oxidations of L- histidinol to [...] (438 aa)	•		•	•		0.944
	Bcep18194_A3533	Histidine triad (HIT) protein (121 aa)	•					0.879
	hisZ	ATP phosphoribosyltransferase regulatory subunit; Required for the first step of histidine bios [...] (382 aa)	•		•	•		0.833
	tatA	Sec-independent protein translocase protein tatA/E homolog; Required for correct localization o [...] (76 aa)	•					0.762

Views:

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

required confidence (score):

interactors shown:

or custom value:

or custom limit:

additional (white) nodes		or: network depth