Systems modeling of oncogenic G-protein and GPCR signaling reveals unexpected differences in downstream pathway activation.

ABSTRACT: Mathematical models of biochemical reaction networks are an important and emerging tool for the study of cell signaling networks involved in disease processes. One promising potential application of such mathematical models is the study of how disease-causing mutations promote the signaling phenotype that contributes to the disease. It is commonly assumed that one must have a thorough characterization of the network readily available for mathematical modeling to be useful, but we hypothesized that mathematical modeling could be useful when there is incomplete knowledge and that it could be a tool for discovery that opens new areas for further exploration. In the present study, we first develop a mechanistic mathematical model of a G-protein coupled receptor signaling network that is mutate

SUBMITTER: Trogdon M 

PROVIDER: S-EPMC11252164 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature