GSVIVG00025889001 protein (Vitis vinifera)

STRING 9.05

GSVIVG00025889001 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:
	GSVIVG00025889001	SubName- Full=Chromosome chr12 scaffold_36, whole genome shotgun sequence; (435 aa)
		(Vitis vinifera)
Predicted Functional Partners:
	GSVIVG00024596001	SubName- Full=Chromosome chr6 scaffold_3, whole genome shotgun sequence; (668 aa)	•		•	•	•	•	0.971
	GSVIVG00036600001	SubName- Full=Chromosome chr3 scaffold_8, whole genome shotgun sequence; (595 aa)	•		•		•	•	0.933
	GSVIVG00008868001	SubName- Full=Chromosome chr13 scaffold_210, whole genome shotgun sequence; (278 aa)	•					•	0.908
	GSVIVG00014451001	SubName- Full=Chromosome chr18 scaffold_1, whole genome shotgun sequence; (483 aa)	•				•	•	0.856
	GSVIVG00019663001	RecName- Full=Adenylyl-sulfate kinase; EC=2.7.1.25;; Catalyzes the synthesis of activated sulfa [...] (202 aa)	•	•			•	•	0.849
	GSVIVG00020070001	SubName- Full=Putative uncharacterized protein (Chromosome chr5 scaffold_2, whole genome shotgu [...] (467 aa)	•				•	•	0.846
	GSVIVG00012057001	RecName- Full=Adenylyl-sulfate kinase; EC=2.7.1.25;; Catalyzes the synthesis of activated sulfa [...] (161 aa)	•	•			•	•	0.817
	GSVIVG00025471001	RecName- Full=Adenylyl-sulfate kinase; EC=2.7.1.25;; Catalyzes the synthesis of activated sulfa [...] (214 aa)	•	•			•	•	0.784
	GSVIVG00024496001	RecName- Full=Elongation factor 1-alpha;; This protein promotes the GTP-dependent binding of am [...] (447 aa)	•				•	•	0.674
	GSVIVG00024491001	RecName- Full=Elongation factor 1-alpha; (447 aa)	•				•	•	0.674

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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