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  infA protein (Brucella melitensis 2308) - STRING interaction network
 

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

 
   
Your Input:
infA
Translation initiation factor IF-1; No specific function has so far been attributed to this initiation factor; however, it seems to stimulate more or less all the activities of the other two initiation factors, IF-2 and IF-3 (72 aa)
(Brucella melitensis 2308)
Predicted Functional Partners:
rpsQ
30S ribosomal protein S17; One of the primary rRNA binding proteins, it binds specifically to t [...] (80 aa)
      0.952
rpsM
30S ribosomal protein S13; Located at the top of the head of the 30S subunit, it contacts sever [...] (122 aa)
     0.951
rpsL
30S ribosomal protein S12; With S4 and S5 plays an important role in translational accuracy (By [...] (123 aa)
      0.950
rpoA
DNA-directed RNA polymerase subunit alpha; DNA-dependent RNA polymerase catalyzes the transcrip [...] (337 aa)
    0.934
rpsK
30S ribosomal protein S11; Located on the platform of the 30S subunit, it bridges several dispa [...] (129 aa)
      0.934
rpsC
30S ribosomal protein S3; Binds the lower part of the 30S subunit head. Binds mRNA in the 70S r [...] (236 aa)
     0.927
rplL
50S ribosomal protein L7/L12; Seems to be the binding site for several of the factors involved [...] (124 aa)
     0.918
rpsD
30S ribosomal protein S4; One of the primary rRNA binding proteins, it binds directly to 16S rR [...] (205 aa)
     0.915
secY
C-5 cytosine-specific DNA methylase-SecY protein (446 aa)
     0.912
rplP
50S ribosomal protein L16; Binds 23S rRNA and is also seen to make contacts with the A and poss [...] (137 aa)
     0.910
 
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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
 
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additional (white) nodes         or: network depth
       

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