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

Authors :
Chenwei Wang
Haodong Xu
Shaofeng Lin
Wankun Deng
Jiaqi Zhou
Ying Zhang
Ying Shi
Di Peng
Yu Xue
Source :
Genomics, Proteomics & Bioinformatics, Vol 18, Iss 1, Pp 72-80 (2020)
Publication Year :
2020
Publisher :
Oxford University Press, 2020.

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.

Details

Language :
English
ISSN :
16720229
Volume :
18
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genomics, Proteomics & Bioinformatics
Publication Type :
Academic Journal
Accession number :
edsdoj.50892173f9454918bfad0a72e436c073
Document Type :
article
Full Text :
https://doi.org/10.1016/j.gpb.2020.01.001