Literature DB >> 32200042

GPS 5.0: An Update on the Prediction of Kinase-specific Phosphorylation Sites in Proteins.

Chenwei Wang1, Haodong Xu1, Shaofeng Lin1, Wankun Deng1, Jiaqi Zhou1, Ying Zhang1, Ying Shi1, Di Peng1, Yu Xue2.   

Abstract

In eukaryotes, protein phosphorylation is specifically catalyzed by numerous protein kinases (PKs), faithfully orchestrates various biological processes, and reversibly determines cellular dynamics and plasticity. Here we report an updated algorithm of Group-based Prediction System (GPS) 5.0 to improve the performance for predicting kinase-specific phosphorylation sites (p-sites). Two novel methods, position weight determination (PWD) and scoring matrix optimization (SMO), were developed. Compared with other existing tools, GPS 5.0 exhibits a highly competitive accuracy. Besides serine/threonine or tyrosine kinases, GPS 5.0 also supports the prediction of dual-specificity kinase-specific p-sites. In the classical module of GPS 5.0, 617 individual predictors were constructed for predicting p-sites of 479 human PKs. To extend the application of GPS 5.0, a species-specific module was implemented to predict kinase-specific p-sites for 44,795 PKs in 161 eukaryotes. The online service and local packages of GPS 5.0 are freely available for academic research at http://gps.biocuckoo.cn.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Dual-specificity kinase; Group-based prediction system; Kinase-specific phosphorylation site; Protein kinase; Protein phosphorylation

Year:  2020        PMID: 32200042     DOI: 10.1016/j.gpb.2020.01.001

Source DB:  PubMed          Journal:  Genomics Proteomics Bioinformatics        ISSN: 1672-0229            Impact factor:   7.691


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