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

 
   
Your Input:
pheS
Beta and gamma crystallin-Phenylalanyl-tRNA synthetase, class IIc-Aminoacyl tRNA synthetase, class II, N-terminal-Phenylalany. (369 aa)
(Brucella melitensis 2308)
Predicted Functional Partners:
pheT
ATP/GTP-binding site motif A (P-loop)-t-RNA-binding region-Bacterial phenylalanyl-tRNA syntheta [...] (804 aa)
• ••••  0.999
pheA
Prephenate dehydratase-Amino acid-binding ACT (287 aa)
•    •• 0.964
infC
Translation initiation factor IF-3; IF-3 binds to the 30S ribosomal subunit and shifts the equi [...] (134 aa)
•     • 0.914
aspC
1-aminocyclopropane-1-carboxylate synthase-Aminotransferase, class-I-Aminotransferase, class I [...] (400 aa)
•    •  0.909
hisC
1-aminocyclopropane-1-carboxylate synthase-Aminotransferase, class I and II-Histidinol-phosphat [...] (365 aa)
•    •  0.908
rplT
50S ribosomal protein L20; Binds directly to 23S ribosomal RNA and is necessary for the in vitr [...] (134 aa)
•     • 0.902
BAB1_0929
1-aminocyclopropane-1-carboxylate synthase-Aminotransferase, class I and II (387 aa)
     •  0.899
BAB1_0657
Aminotransferase, class-II-Aminotransferase, class I and II (377 aa)
     •  0.899
thrS
tRNA synthetase, class-II (G, H, P and S)-Prolyl-tRNA synthetase, class IIa-Threonyl-tRNA synth [...] (658 aa)
•     • 0.898
dapB
Eukaryotic thiol (cysteine) protease-Dihydrodipicolinate reductase (268 aa)
• •   • 0.851
 
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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