Utility of constraints reflecting system stability on analyses for biological models.

ABSTRACT: Simulating complex biological models consisting of multiple ordinary differential equations can aid in the prediction of the pharmacological/biological responses; however, they are often hampered by the availability of reliable kinetic parameters. In the present study, we aimed to discover the properties of behaviors without determining an optimal combination of kinetic parameter values (parameter set). The key idea was to collect as many parameter sets as possible. Given that many systems are biologically stable and resilient (BSR), we focused on the dynamics around the steady state and formulated objective functions for BSR by partial linear approximation of the focused region. Using the objective functions and modified global cluster Newton method, we developed an algorithm for a thorou

SUBMITTER: Kariya Y 

PROVIDER: S-EPMC9491612 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature