version_number_image
 
 

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

 
   
Your Input:
pth
Peptidyl-tRNA hydrolase; The natural substrate for this enzyme may be peptidyl- tRNAs which drop off the ribosome during protein synthesis (By similarity) (213 aa)
(Anabaena variabilis)
Predicted Functional Partners:
Ava_4625
GTP-binding protein, HSR1-related (363 aa)
      0.861
rpsR
30S ribosomal protein S18; Binds as a heterodimer with protein S6 to the central domain of the [...] (71 aa)
      0.819
Ava_1994
Ribose-phosphate pyrophosphokinase (338 aa)
      0.803
rplI
50S ribosomal protein L9; Binds to the 23S rRNA (By similarity) (152 aa)
      0.799
Ava_2767
Transcription-repair coupling factor (1188 aa)
       0.792
glmU
Bifunctional protein glmU; Catalyzes the last two sequential reactions in the de novo biosynthe [...] (451 aa)
       0.792
rpsF
30S ribosomal protein S6; Binds together with S18 to 16S ribosomal RNA (By similarity) (108 aa)
       0.786
Ava_4123
Ribose-phosphate pyrophosphokinase (310 aa)
       0.785
ispE
4-diphosphocytidyl-2-C-methyl-D-erythritol kinase; Catalyzes the phosphorylation of the positio [...] (317 aa)
       0.784
rplK
50S ribosomal protein L11; This protein binds directly to 23S ribosomal RNA (By similarity) (141 aa)
     0.753
 
  Views:                    
   Neighborhood  Fusion  Occurence  Coexpression  Experiments  Database  Textmining      Summary Network

 

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