Posttranslational modifications (PTMs) refer to amino acid side chain modification in some
proteins after their biosynthesis. There are more than 400 different types of PTMs affecting …

Artificial intelligence (AI) methods have been and are now being increasingly integrated in
prediction software implemented in bioinformatics and its glycoscience branch known as …

Glycosylation is a very common modification of protein and lipid, and most glycosylation
reactions occur in the Golgi. Although the transfer of initial sugar (s) to glycoproteins or …

Ensemble learning is an intensively studied technique in machine learning and pattern
recognition. Recent work in computational biology has seen an increasing use of ensemble …

The exponential growth of biomedical data in recent years has urged the application of
numerous machine learning techniques to address emerging problems in biology and …

Glycosylation is one of the most abundant and an important post-translational modification of
proteins. Glycosylated proteins (glycoproteins) are involved in various cellular biological …

The amount of data collected and managed in (bio) medicine is ever-increasing. Thus, there
is a need to rapidly and efficiently collect, analyze, and characterize all this information …

Abstract Background Post translational modifications (PTMs) occur in the vast majority of
proteins and are essential for function. Prediction of the sequence location of PTMs …

Identification of epitopes that invoke strong responses from B-cells is one of the key steps in
designing effective vaccines against pathogens. Because experimental determination of …

The ensemble learning paradigm has proved to be relevant to solving most challenging
industrial problems. Despite its successful application especially in the Bioinformatics, the …