GPS-SUMO: a tool for the prediction of sumoylation sites and SUMO-interaction motifs

Small ubiquitin-like modifiers (SUMOs) regulate a variety of cellular processes through two distinct mechanisms, including covalent sumoylation and non-covalent SUMO interaction. The complexity of SUMO regulations has greatly hampered the large-scale identification of SUMO substrates or interaction partners on a proteome-wide level. In this work, we developed a new tool called GPS-SUMO for the prediction of both sumoylation sites and SUMO-interaction motifs (SIMs) in proteins. To obtain an accurate performance, a new generation group-based prediction system (GPS) algorithm integrated with Particle Swarm Optimization approach was applied. By critical evaluation and comparison, GPS-SUMO was demonstrated to be…

• NN
  National Natural Science Foundation of China

  Awards: 31171263, 81272578, 2012CB910101, 2014DFB30020
• NK
  National Key Research and Development Program of China

  Awards: 2013CB933902, 2014DFB30020, 2012CB911201