version_number_image
 
 

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

 
   
Your Input:
lytM
Glycyl-glycine endopeptidase lytM; Peptidoglycan hydrolase (autolysin) specifically acting on polyglycine interpeptide bridges of the cell wall peptidoglycan (By similarity) (316 aa)
(Staphylococcus aureus MRSA252)
Predicted Functional Partners:
SAR1807
Putative transglycosylase (301 aa)
      0.673
walR
Transcriptional regulatory protein walR; Member of the two-component regulatory system walK/wal [...] (235 aa)
       0.518
sle1
N-acetylmuramoyl-L-alanine amidase sle1; Peptidoglycan hydrolase involved in the splitting of t [...] (334 aa)
       0.486
sceD
Probable transglycosylase sceD; Is able to cleave peptidoglycan and affects clumping and separa [...] (231 aa)
       0.457
mgt
Monofunctional glycosyltransferase; Involved in the biosynthesis of cell wall peptidoglycan. Re [...] (269 aa)
       0.447
mgrA
HTH-type transcriptional regulator mgrA; Regulatory protein involved in autolytic activity, mul [...] (147 aa)
       0.438
atl
Bifunctional autolysin; Endohydrolysis of the di-N-acetylchitobiosyl unit in high-mannose glyco [...] (1257 aa)
       0.435
SAR2293
Peptidase family M23/M37 protein (284 aa)
      0.431
SAR0272
Putative choloylglycine hydrolase (330 aa)
       0.429
tycG
Sensor protein kinase walK; Member of the two-component regulatory system walK/walR that regula [...] (608 aa)
       0.429
 
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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