期刊
NUCLEIC ACIDS RESEARCH
卷 42, 期 W1, 页码 W325-W330出版社
OXFORD UNIV PRESS
DOI: 10.1093/nar/gku383
关键词
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资金
- National Basic Research Program (973 project) [2013CB933902, 2012CB911201, 2012CB910101]
- National Natural Science Foundation of China [31171263, 81272578]
- Guangdong Natural Science Funds [S20120011335]
- Zhujiang Nova Program of Guangzhou [2011J2200042]
- International Science & Technology Cooperation Program of China [2014DFB30020]
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 substantially superior against other existing tools and methods. With the help of GPS-SUMO, it is now possible to further investigate the relationship between sumoylation and SUMO interaction processes.
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