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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) (347 aa)
(Escherichia coli O1)
Predicted Functional Partners:
guaA
bifunctional GMP synthase/glutamine amidotransferase protein; Catalyzes the synthesis of GMP fr [...] (525 aa)
•  • •• 0.989
purA
Adenylosuccinate synthetase; Plays an important role in the de novo pathway of purine nucleotid [...] (432 aa)
• •  •• 0.982
purH
bifunctional AICAR formyltransferase/IMP cyclohydrolase PurH (529 aa)
     •  0.965
apt
Adenine phosphoribosyltransferase; Catalyzes a salvage reaction resulting in the formation of A [...] (194 aa)
     •• 0.951
guaB
Inositol-5-monophosphate dehydrogenase (511 aa)
  •• •••0.936
gmk
Guanylate kinase; Essential for recycling GMP and indirectly, cGMP (226 aa)
     •• 0.929
hpt
Hypoxanthine-guanine phosphoribosyltransferase (191 aa)
     •• 0.902
yfbR
putative alpha helix protein (199 aa)
     •  0.899
surE
Broad specificity 5'(3')-nucleotidase and polyphosphatase; Nucleotidase with a broad substrate [...] (253 aa)
     •  0.899
ECED1_4646
putative 5'-nucleotidase/2',3'-cyclic phosphodiesterase or related esterase (517 aa)
     •  0.899
 
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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