Diverse Cell Stimulation Kinetics Identify Predictive Signal Transduction Models.

ABSTRACT: Computationally understanding the molecular mechanisms that give rise to cell signaling responses upon different environmental, chemical, and genetic perturbations is a long-standing challenge that requires models that fit and predict quantitative responses for new biological conditions. Overcoming this challenge depends not only on good models and detailed experimental data but also on the rigorous integration of both. We propose a quantitative framework to perturb and model generic signaling networks using multiple and diverse changing environments (hereafter "kinetic stimulations") resulting in distinct pathway activation dynamics. We demonstrate that utilizing multiple diverse kinetic stimulations better constrains model parameters and enables predictions of signaling dynamics that wou

SUBMITTER: Jashnsaz H 

PROVIDER: S-EPMC7549069 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature