Protein phosphorylation is one of the most indispensable post-translational modification (PTM), and participated in almost all the biological processes.The complete regulation system consists of not only phosphorylation but also its reversible reaction dephosphorylation, which catalysed by protein kinases and protein phosphotases, respectively. Unlike the well study of protein kinases, it still needs more comprehensive research on protein phosphotases. Considering the low efficiency of experiments, the computational prediction of dephosphorylation sites would be great helpful.

1,805 phosphotase-specific dephosphorylation sites were collected from literatures. The latest GPS (Group-based Prediction System) algorithm was then adopted to generate unique prediciton models for the phosphotases with more than 3 known substrates. According to the annotated database iEKPD(PK, PP & PPBD), phosphotases were classified into 3 different levels (Group, Family and Single phosphotase). Altogether, our GPS-PDES (Prediction of Dephosphorylation Site) provided 74 predictors that cover 50 phosphotases. All in all, We believe that GPS-PDES would be an important resource in the field of dephosphorylation.

The GPS-PDES is freely available for academic research at: http://pdes.biocuckoo.cn.

For publication of results please cite the following article: GPS-PDES 1.0: XXX XXX XXX, XXX, Yu Xue*. 2020, Submitted