Using phosphoproteomics data to understand cellular signaling: a comprehensive guide to bioinformatics resources.

ABSTRACT: Mass spectrometry-based phosphoproteomics is becoming an essential methodology for the study of global cellular signaling. Numerous bioinformatics resources are available to facilitate the translation of phosphopeptide identification and quantification results into novel biological and clinical insights, a critical step in phosphoproteomics data analysis. These resources include knowledge bases of kinases and phosphatases, phosphorylation sites, kinase inhibitors, and sequence variants affecting kinase function, and bioinformatics tools that can predict phosphorylation sites in addition to the kinase that phosphorylates them, infer kinase activity, and predict the effect of mutations on kinase signaling. However, these resources exist in silos and it is challenging to select among multiple

SUBMITTER: Savage SR 

PROVIDER: S-EPMC7353784 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature