KSP: an integrated method for predicting catalyzing kinases of phosphorylation sites in proteins.

ABSTRACT:

Background

Protein phosphorylation by kinases plays crucial roles in various biological processes including signal transduction and tumorigenesis, thus a better understanding of protein phosphorylation events in cells is fundamental for studying protein functions and designing drugs to treat diseases caused by the malfunction of phosphorylation. Although a large number of phosphorylation sites in proteins have been identified using high-throughput phosphoproteomic technologies, their specific catalyzing kinases remain largely unknown. Therefore, computational methods are urgently needed to predict the kinases that catalyze the phosphorylation of these sites.

Results

We developed KSP, a new algorithm for predicting catalyzing kinases for experimentally identified phosphorylat

SUBMITTER: Ma H 

PROVIDER: S-EPMC7646512 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature