rplF protein (Nitrobacter hamburgensis) - STRING interaction network

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




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Your Input:
	rplF	50S ribosomal protein L6; This protein binds to the 23S rRNA, and is important in its secondary structure. It is located near the subunit interface in the base of the L7/L12 stalk, and near the tRNA binding site of the peptidyltransferase center (By similarity) (177 aa)
		(Nitrobacter hamburgensis)
Predicted Functional Partners:
	rplR	50S ribosomal protein L18; This is one of the proteins that binds and probably mediates the att [...] (120 aa)	•		•	•		0.997
	rplE	50S ribosomal protein L5; This is 1 of the proteins that binds and probably mediates the attach [...] (185 aa)	•	•	•	•	•	0.995
	rplN	50S ribosomal protein L14; Binds to 23S rRNA. Forms part of two intersubunit bridges in the 70S [...] (122 aa)	•	•	•	•	•	0.994
	rplV	50S ribosomal protein L22; This protein binds specifically to 23S rRNA; its binding is stimulat [...] (128 aa)	•	•	•	•		0.991
	rplW	50S ribosomal protein L23; One of the early assembly proteins it binds 23S rRNA. One of the pro [...] (98 aa)	•		•	•		0.989
	rplP	50S ribosomal protein L16; Binds 23S rRNA and is also seen to make contacts with the A and poss [...] (137 aa)	•	•	•	•		0.988
	rplC	50S ribosomal protein L3; One of the primary rRNA binding proteins, it binds directly near the [...] (241 aa)	•		•	•		0.987
	rplD	50S ribosomal protein L4; One of the primary rRNA binding proteins, this protein initially bind [...] (206 aa)	•		•	•		0.987
	rplB	50S ribosomal protein L2; One of the primary rRNA binding proteins. Required for association of [...] (277 aa)	•		•	•		0.986
	rplQ	50S ribosomal protein L17 (138 aa)	•		•	•		0.986

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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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