SUMOsp based on a manually curated dataset, integrating the results of two methods, GPS and MotifX, which were originally designed for phosphorylation site prediction. SUMOsp offers at least as good prediction performance as the only available method, SUMOplot, on a very large test set. We expect that the prediction results of SUMOsp combined with experimental verifications will propel our understanding of sumoylation mechanisms to a new level.
GPS-SUMO is a tool for the prediction of sumoylation sites and SUMO-interaction motifs.
Targetprofiler is a novel miRNA target prediction tool that utilizes a probabilistic learning algorithm in the form of a hidden Markov model trained on experimentally verified miRNA targets.