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

 
   
Your Input:
glpE
Thiosulfate-cyanide sulfurtransferase (Rhodanese); Catalyzes, although with low efficiency, the sulfur transfer reaction from thiosulfate to cyanide (By similarity) (108 aa)
(Escherichia coli 536)
Predicted Functional Partners:
glpG
Putative intramembrane serine protease; Rhomboid-type serine protease that catalyzes intramembr [...] (276 aa)
     0.907
glpR
Glycerol-3-phosphate regulon repressor (252 aa)
      0.880
glpD
sn-glycerol-3-phosphate dehydrogenase, aerobic, FAD/NAD(P)-binding (501 aa)
      0.851
pspE
Thiosulfate-cyanide sulfurtransferase (Rhodanese) (104 aa)
      0.849
groL
60 kDa protein; Prevents misfolding and promotes the refolding and proper assembly of unfolded [...] (548 aa)
       0.701
groS
10 kDa chaperonin; Binds to Cpn60 in the presence of Mg-ATP and suppresses the ATPase activity [...] (97 aa)
       0.701
tusA
Sulfurtransferase tusA; Part of a sulfur-relay system required for 2-thiolation of 5-methylamin [...] (81 aa)
       0.696
apaH
Bis(5'-nucleosyl)-tetraphosphatase, symmetrical; Hydrolyzes diadenosine 5',5'''-P1,P4-tetraphos [...] (282 aa)
       0.640
cca
Fused tRNA nucleotidyl transferase ; Catalyzes the addition and repair of the essential 3'- ter [...] (412 aa)
       0.618
ksgA
S-adenosylmethionine-6-N',N'-adenosyl (RRNA) dimethyltransferase; Specifically dimethylates two [...] (273 aa)
       0.615
 
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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