摘要
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 GPS5.0,a species-specific module was implemented to predict kinase-specific p-sites for 44,795 PKs in161 eukaryotes.The online service and local packages of GPS 5.0 are freely available for academic research at http://gps.biocuckoo.cn.
基金
Special Project on Precision Medicine under the National Key R&D Program of China(Grant Nos.2017YFC0906600 and 2018YFC0910500)
National Natural Science Foundation of China(Grant Nos.31671360,81701567,and 31801095)
National Program for Support of Top-Notch Young Professionals,Changjiang Scholars Program of China
supported by the program for HUST Academic Frontier Youth Team,Fundamental Research Funds for the Central Universities,China(Grant Nos.2017KFXKJC001 and 2019kfy RCPY043)
China Postdoctoral Science Foundation(Grant Nos.2018M642816 and 2018M632870)