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

 
   
Your Input:
rnp1
Ribonuclease P protein component 1; Part of ribonuclease P, a protein complex that generates mature tRNA molecules by cleaving their 5'-ends (By similarity) (110 aa)
(Methanosarcina barkeri)
Predicted Functional Partners:
rpl22p
50S ribosomal protein L22P; This protein binds specifically to 23S rRNA. It makes multiple cont [...] (151 aa)
       0.972
rps3p
30S ribosomal protein S3P; Binds the lower part of the 30S subunit head (By similarity) (311 aa)
       0.972
rpl29p
50S ribosomal protein L29P (67 aa)
       0.971
rps17p
30S ribosomal protein S17P; One of the primary rRNA binding proteins, it binds specifically to [...] (109 aa)
       0.970
rpl14p
50S ribosomal protein L14P; Binds to 23S rRNA. Forms part of two intersubunit bridges in the 70 [...] (132 aa)
       0.970
rps19p
30S ribosomal protein S19P; Protein S19 forms a complex with S13 that binds strongly to the 16S [...] (136 aa)
       0.962
rpl24p
50S ribosomal protein L24P; One of two assembly inititator proteins, it binds directly to the 5 [...] (116 aa)
       0.961
rps4e
30S ribosomal protein S4e (235 aa)
       0.951
rpl5p
50S ribosomal protein L5P; This is 1 of the proteins that binds and probably mediates the attac [...] (169 aa)
       0.951
rps14p
30S ribosomal protein S14P; Binds 16S rRNA, required for the assembly of 30S particles (By simi [...] (50 aa)
       0.948
 
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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