It's about time: Analysing simplifying assumptions for modelling multi-step pathways in systems biology.

ABSTRACT: Thoughtful use of simplifying assumptions is crucial to make systems biology models tractable while still representative of the underlying biology. A useful simplification can elucidate the core dynamics of a system. A poorly chosen assumption can, however, either render a model too complicated for making conclusions or it can prevent an otherwise accurate model from describing experimentally observed dynamics. Here, we perform a computational investigation of sequential multi-step pathway models that contain fewer pathway steps than the system they are designed to emulate. We demonstrate when such models will fail to reproduce data and how detrimental truncation of a pathway leads to detectable signatures in model dynamics and its optimised parameters. An alternative assumption is suggest

SUBMITTER: Korsbo N 

PROVIDER: S-EPMC7351226 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature