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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) (By similarity) (169 aa)
(Actinobacillus pleuropneumoniae)
Predicted Functional Partners:
mtnN
5'-methylthioadenosine/S-adenosylhomocysteine nucleosidase; Catalyzes the irreversible cleavage [...] (232 aa)
    0.997
metB
Cystathionine gamma-synthase (378 aa)
     0.972
metE
5-methyltetrahydropteroyltriglutamate--homocysteine methyltransferase; Catalyzes the transfer o [...] (757 aa)
     0.961
APL_0701
O-acetylhomoserine (Thiol)-lyase (422 aa)
     0.934
metC
Cystathionine beta-lyase (396 aa)
     0.922
cysK
Cysteine synthase (316 aa)
      0.803
metK
S-adenosylmethionine synthetase; Catalyzes the formation of S-adenosylmethionine from methionin [...] (383 aa)
      0.705
APL_1217
Putative uncharacterized protein (888 aa)
       0.684
uvrB
UvrABC system protein B; The UvrABC repair system catalyzes the recognition and processing of D [...] (673 aa)
      0.642
purT
Phosphoribosylglycinamide formyltransferase 2; Catalyzes two reactions- the first one is the pr [...] (393 aa)
       0.634
 
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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
 
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additional (white) nodes         or: network depth