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

 
   
Your Input:
luxS
S-ribosylhomocysteine lyase; Involved in the synthesis of autoinducer 2 (AI-2) which is secreted by bacteria and is used to communicate both the cell density and the metabolic potential of the environment. The regulation of gene expression in response to changes in cell density is called quorum sensing. Catalyzes the transformation of S-ribosylhomocysteine (RHC) to homocysteine (HC) and 4,5- dihydroxy-2,3-pentadione (DPD) (164 aa)
(Campylobacter jejuni RM1221)
Predicted Functional Partners:
pfs
5'-methylthioadenosine/S-adenosylhomocysteine nucleosidase (229 aa)
• •  •• 0.997
metE
5-methyltetrahydropteroyltriglutamate--homocysteine methyltransferase; Catalyzes the transfer o [...] (754 aa)
•    •• 0.960
metC
Putative cystathionine beta-lyase, N-terminus (387 aa)
•    •• 0.938
gpsA
NAD(P)H-dependent glycerol-3-phosphate dehydrogenase (297 aa)
•       0.731
metK
S-adenosylmethionine synthetase (403 aa)
•     • 0.690
cysK
Cysteine synthase B (299 aa)
•     • 0.667
gatB
Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B; Allows the formation of correctly c [...] (472 aa)
•       0.648
uvrB
UvrABC system protein B; The UvrABC repair system catalyzes the recognition and processing of D [...] (657 aa)
•     • 0.626
pyrC2
Putative dihydroorotase (392 aa)
•       0.624
Cj1200
Putative NLPA family lipoprotein (262 aa)
•     • 0.612
 
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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