Prediction of Glycosysylation sites in Prokaryotics Proteins


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N-linked Glycosylation Prediction           For more information click here
            Prediction based on Binary Profile of Patterns (BPP)
            Prediction based on Composition Profile of Patterns (CPP)
            Prediction based on PSSM Profile of patterns (PPP)
            Prediction based on Average Surface Accessibility (ASA+BPP)
O-linked Glycosylation Prediction
            Prediction based on Binary Profile of Patterns (BPP)
            Prediction based on Composition Profile of Patterns (CPP)
            Prediction based on PSSM Profile of patterns (PPP)
            Prediction based on Average Surface Accessibility (ASA+PPP)

            SVM threshold:



Planets

Hints-
** Hybrid approaches (BPP+ASA) and (PPP+ASA) may perform better than other solo feature (BPP/CPPP/PPP) based
methods but would usually take longer time in learning.

In view of the understanding that in prokaryotes majority of the glycoproteins are extracytoplasmic (and membrane associated),
users are encouraged to supplement GlycoPP prediction results with other complementary evidences like: presence of
signal peptides (examples Signal P, LipoP), transmemebrane domains (example TMHMM ), known glycosylation in a close
homologue (ProGlycProt BLAST ) and /or available experimental data on type of linkages, attached sugars (ProGlycProt) etc.,
for best interpretation of the results obtained.
Reference
Fletcher CM, Coyne MJ, Comstock LE (2011) Theoretical and experimental characterization of the scope of protein
O-glycosylation in Bacteroides fragilis. Journal of Biological Chemistry 286: 3219-3226.
Bhat AH, Mondal H, Chauhan JS, Raghava GP, Methi A, Rao A (2012) ProGlycProt: a repository of experimentally
characterized prokaryotic glycoproteins. Nucleic Acids Res.(Database issue)40:D388-93.