Structural identifiability of biomolecular controller motifs with and without flow measurements as model output.

ABSTRACT: Controller motifs are simple biomolecular reaction networks with negative feedback. They can explain how regulatory function is achieved and are often used as building blocks in mathematical models of biological systems. In this paper we perform an extensive investigation into structural identifiability of controller motifs, specifically the so-called basic and antithetic controller motifs. Structural identifiability analysis is a useful tool in the creation and evaluation of mathematical models: it can be used to ensure that model parameters can be determined uniquely and to examine which measurements are necessary for this purpose. This is especially useful for biological models where parameter estimation can be difficult due to limited availability of measureable outputs. Our aim with t

SUBMITTER: Haus ES 

PROVIDER: S-EPMC10491402 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature