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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) (157 aa)
(Bacillus cereus cytotoxis)
Predicted Functional Partners:
mtnN
5'-methylthioadenosine/S-adenosylhomocysteine nucleosidase; Catalyzes the irreversible cleavage [...] (231 aa)
    0.998
metE
5-methyltetrahydropteroyltriglutamate--homocysteine methyltransferase; Catalyzes the transfer o [...] (762 aa)
     0.950
Bcer98_3084
Cystathionine gamma-synthase (377 aa)
     0.928
Bcer98_2986
Cystathionine gamma-synthase (387 aa)
     0.918
Bcer98_2985
Cystathionine gamma-synthase (370 aa)
     0.916
Bcer98_3087
Methyltransferase type 11 (212 aa)
      0.719
metK
S-adenosylmethionine synthetase; Catalyzes the formation of S-adenosylmethionine from methionin [...] (399 aa)
      0.681
Bcer98_3462
protein of unknown function DUF37 (75 aa)
       0.642
gpsA
Glycerol-3-phosphate dehydrogenase (NAD(P)(+)) (341 aa)
       0.615
Bcer98_3710
UvrABC system protein B; The UvrABC repair system catalyzes the recognition and processing of D [...] (658 aa)
      0.603
 
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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:
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additional (white) nodes         or: network depth