We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
GPS 2.1: enhanced prediction of kinase-specific phosphorylation sites with an algorithm of motif length selection.
- Authors
Xue, Yu; Liu, Zexian; Cao, Jun; Ma, Qian; Gao, Xinjiao; Wang, Qingqi; Jin, Changjiang; Zhou, Yanhong; Wen, Longping; Ren, Jian
- Abstract
As the most important post-translational modification of proteins, phosphorylation plays essential roles in all aspects of biological processes. Besides experimental approaches, computational prediction of phosphorylated proteins with their kinase-specific phosphorylation sites has also emerged as a popular strategy, for its low-cost, fast-speed and convenience. In this work, we developed a kinase-specific phosphorylation sites predictor of GPS 2.1 (Group-based Prediction System), with a novel but simple approach of motif length selection (MLS). By this approach, the robustness of the prediction system was greatly improved. All algorithms in GPS old versions were also reserved and integrated in GPS 2.1. The online service and local packages of GPS 2.1 were implemented in JAVA 1.5 (J2SE 5.0) and freely available for academic researches at: http://gps.biocuckoo.org.
- Subjects
PROTEINS; POST-translational modification; PHOSPHORYLATION; ALGORITHMS; COST effectiveness; ONLINE information services; JAVA programming language
- Publication
PEDS: Protein Engineering, Design & Selection, 2011, Vol 24, Issue 3, p255
- ISSN
1741-0126
- Publication type
Article
- DOI
10.1093/protein/gzq094