PhosX: data-driven kinase activity inference from phosphoproteomics experiments.

ABSTRACT:

Summary

The inference of kinase activity from phosphoproteomics data can point to causal mechanisms driving signalling processes and potential drug targets. Identifying the kinases whose change in activity explains the observed phosphorylation profiles, however, remains challenging, and constrained by the manually curated knowledge of kinase-substrate associations. Recently, experimentally determined substrate sequence specificities of human kinases have become available, but robust methods to exploit this new data for kinase activity inference are still missing. We present PhosX, a method to estimate differential kinase activity from phosphoproteomics data that combines state-of-the-art statistics in enrichment analysis with kinases' substrate sequence specificity information. Usi

SUBMITTER: Lussana A 

PROVIDER: S-EPMC11630834 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature