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

 
   
Your Input:
guaC
GMP reductase; Catalyzes the irreversible NADPH-dependent deamination of GMP to IMP. It functions in the conversion of nucleobase, nucleoside and nucleotide derivatives of G to A nucleotides, and in maintaining the intracellular balance of A and G nucleotides (By similarity) (325 aa)
(Lactobacillus sakei)
Predicted Functional Partners:
guaA
Guanosine monophosphate synthase (Glutamine amidotransferase); Catalyzes the synthesis of GMP f [...] (517 aa)
• •• •• 0.975
purA
Adenylosuccinate synthetase; Plays an important role in the de novo pathway of purine nucleotid [...] (426 aa)
•    •• 0.972
apt
Adenine phosphoribosyltransferase; Catalyzes a salvage reaction resulting in the formation of A [...] (172 aa)
     •• 0.950
guaB
Inosine-5-monophosphate dehydrogenase (493 aa)
  •• •••0.928
gmk
Guanylate kinase; Essential for recycling GMP and indirectly, cGMP (By similarity) (203 aa)
     •• 0.913
hpt
Hypoxanthine phosphoribosyltranferase (181 aa)
     •• 0.900
purH
Bifunctional protein-phospho ribosylaminoimidazole carboxamide formyltransferase (AICAR transfo [...] (510 aa)
     •  0.899
gmk1
Guanylate kinase (186 aa)
     •  0.899
xpt
Xanthine phosphoribosyltransferase; Converts the preformed base xanthine, a product of nucleic [...] (195 aa)
•     • 0.596
LSA0477
Putative ion Mg(2+)/Co(2+) transport protein (317 aa)
•       0.538
 
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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