Community detection in empirical kinase networks identifies new potential members of signalling pathways.

ABSTRACT: Phosphoproteomics allows one to measure the activity of kinases that drive the fluxes of signal transduction pathways involved in biological processes such as immune function, senescence and cell growth. However, deriving knowledge of signalling network circuitry from these data is challenging due to a scarcity of phosphorylation sites that define kinase-kinase relationships. To address this issue, we previously identified around 6,000 phosphorylation sites as markers of kinase-kinase relationships (that may be conceptualised as network edges), from which empirical cell-model-specific weighted kinase networks may be reconstructed. Here, we assess whether the application of community detection algorithms to such networks can identify new components linked to canonical signalling pathways. P

SUBMITTER: Basanta CLAC 

PROVIDER: S-EPMC10325051 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature