In Eukaryotes species, SUMOylation is one of the most important post-translational modification playing significant roles in biological processes and cellular functions. The mechanism caused by SUMOylation process will affect many biological processes, then turn into the changes of a variety of common serious diseases, such as: breast cancer, cardiac, Parkinson’s and Alzheimer’s disease. Due to the very important roles underlying SUMOylation process, the requirement to have extensive knowledge on SUMOylation and its mechanism is emerging as one of the hottest issues. In this study, we will introduce an approach that exploits two-layer support vector machine to identify protein SUMOylation sites based on substrate motifs.
|名字||Lecture Notes in Networks and Systems|