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

 
   
Your Input:
folD1
Bifunctional protein folD 1; Catalyzes the oxidation of 5,10- methylenetetrahydrofolate to 5,10-methenyltetrahydrofolate and then the hydrolysis of 5,10-methenyltetrahydrofolate to 10- formyltetrahydrofolate (By similarity) (297 aa)
(Acinetobacter sp. ADP1)
Predicted Functional Partners:
purU
Formyltetrahydrofolate deformylase (288 aa)
•    •• 0.990
glyA
Serine hydroxymethyltransferase; Interconversion of serine and glycine (417 aa)
•   ••• 0.986
purN
Phosphoribosylglycinamide formyltransferase 1 (209 aa)
• •  •• 0.985
fmt
Methionyl-tRNA formyltransferase; Modifies the free amino group of the aminoacyl moiety of meth [...] (319 aa)
• •  •• 0.984
purH
bifunctional phosphoribosylaminoimidazolecarboxamide formyltransferase/IMP cyclohydrolase (524 aa)
•    •• 0.956
thyA
Thymidylate synthase; Provides the sole de novo source of dTMP for DNA biosynthesis (By similar [...] (280 aa)
•  • •• 0.948
metF
5,10-methylenetetrahydrofolate reductase (278 aa)
     •• 0.944
folD2
Bifunctional protein folD 2; Catalyzes the oxidation of 5,10- methylenetetrahydrofolate to 5,10 [...] (282 aa)
• •  •••0.936
metH
Methionine synthase (B12-dependent homocysteine-N5-methyltetrahydrofolate transmethylase, repre [...] (1228 aa)
     •• 0.933
folC
bifunctional protein [Includes- folylpolyglutamate synthase (FPGS); dihydrofolate synthase ] (428 aa)
     •  0.929
 
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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