Prediction of the Protein O-glycosylation site by Neural Networks and Support Vector Machine

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O-Glycosylation sites in the mammalian protein is predicted by the machine learning to elucidate the glycosylation mechanisms. Especially, the crowded and the isolated glycosylation sites are separately considered, and it is found that the former is affected by the amino acid composition of the neighboring sites while the latter is affected by the amino acid sequence, and more detailed characteristics are investigated. O-Glycosylation sites are often found in the intrinsically disordered proteins, which lead to the biological understandings of the conservation property, the role in the structural stability and so on. Biological experiments are also executed for a verification of the prediction.