GSVIVG00028229001 protein (Vitis vinifera)

STRING 9.05

GSVIVG00028229001 protein (Vitis vinifera) - STRING network view

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:
	GSVIVG00028229001	SubName- Full=Chromosome chr7 scaffold_42, whole genome shotgun sequence; (549 aa)
		(Vitis vinifera)
Predicted Functional Partners:
	GSVIVG00032163001	RecName- Full=Ferrochelatase; EC=4.99.1.1;; Catalyzes the ferrous insertion into protoporphyrin [...] (422 aa)	•	•		•	•		0.976
	GSVIVG00002992001	SubName- Full=Chromosome chr10 scaffold_138, whole genome shotgun sequence; (289 aa)			•	•	•		0.975
	GSVIVG00037523001	SubName- Full=Chromosome undetermined scaffold_89, whole genome shotgun sequence; (352 aa)	•		•	•	•		0.974
	GSVIVG00019218001	RecName- Full=Ferrochelatase; EC=4.99.1.1;; Catalyzes the ferrous insertion into protoporphyrin [...] (475 aa)	•	•	•	•	•		0.973
	GSVIVG00022232001	SubName- Full=Chromosome chr6 scaffold_25, whole genome shotgun sequence; (747 aa)			•	•	•		0.971
	CHLH	SubName- Full=Chromosome chr8 scaffold_34, whole genome shotgun sequence; (1390 aa)			•	•	•		0.964
	GSVIVG00010463001	SubName- Full=Chromosome chr17 scaffold_263, whole genome shotgun sequence; (473 aa)				•	•		0.962
	GSVIVG00027816001	SubName- Full=Chromosome chr19 scaffold_4, whole genome shotgun sequence; (338 aa)	•	•	•		•		0.875
	GSVIVG00029410001	SubName- Full=Chromosome chr13 scaffold_48, whole genome shotgun sequence; (380 aa)	•	•	•		•		0.853
	GSVIVG00020543001	SubName- Full=Chromosome chr14 scaffold_21, whole genome shotgun sequence; (504 aa)		•		•	•	•	0.503

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

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