Post-translational modifications are considered important molecular interactions in protein
science. One of these modifications is “sumoylation” whose computational detection has
recently become a challenge. In this paper, we propose a new computational predictor
which makes use of the sine and cosine of backbone torsion angles and the accessible
surface area for predicting sumoylation sites. The aforementioned features were computed
for all the proteins in our benchmark dataset, and a training matrix consisting of sumoylation …