version_number_image
 
 

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

 
   
Your Input:
lexA
LexA repressor; Represses a number of genes involved in the response to DNA damage (SOS response), including recA and lexA. In the presence of single-stranded DNA, recA interacts with lexA causing an autocatalytic cleavage which disrupts the DNA-binding part of lexA, leading to derepression of the SOS regulon and eventually DNA repair (By similarity) (208 aa)
(Alkalilimnicola ehrlichei)
Predicted Functional Partners:
recA
Protein recA; Can catalyze the hydrolysis of ATP in the presence of single-stranded DNA, the AT [...] (347 aa)
    0.986
Mlg_1095
Putative uncharacterized protein (290 aa)
      0.933
Mlg_1094
Putative uncharacterized protein (437 aa)
       0.839
dnaE2
Error-prone DNA polymerase; DNA polymerase involved in damage-induced mutagenesis and translesi [...] (1025 aa)
      0.834
Mlg_2775
DNA-directed DNA polymerase (355 aa)
      0.781
Mlg_1088
UvrABC system protein B; The UvrABC repair system catalyzes the recognition and processing of D [...] (675 aa)
      0.664
gcp
Probable O-sialoglycoprotein endopeptidase (339 aa)
       0.632
Mlg_1904
DNA repair protein RecN (564 aa)
    0.613
panC
Pantothenate synthetase; Catalyzes the condensation of pantoate with beta-alanine in an ATP-dep [...] (286 aa)
       0.607
Mlg_1579
Sec-independent protein translocase TatD (266 aa)
       0.603
 
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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