Identifiability analysis for models of the translation kinetics after mRNA transfection.

ABSTRACT: Mechanistic models are a powerful tool to gain insights into biological processes. The parameters of such models, e.g. kinetic rate constants, usually cannot be measured directly but need to be inferred from experimental data. In this article, we study dynamical models of the translation kinetics after mRNA transfection and analyze their parameter identifiability. That is, whether parameters can be uniquely determined from perfect or realistic data in theory and practice. Previous studies have considered ordinary differential equation (ODE) models of the process, and here we formulate a stochastic differential equation (SDE) model. For both model types, we consider structural identifiability based on the model equations and practical identifiability based on simulated as well as experiment

SUBMITTER: Pieschner S 

PROVIDER: S-EPMC9110294 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature