How and why to build a mathematical model: A case study using prion aggregation.

ABSTRACT: Biological systems are inherently complex, and the increasing level of detail with which we are able to experimentally probe such systems continually reveals new complexity. Fortunately, mathematical models are uniquely positioned to provide a tool suitable for rigorous analysis, hypothesis generation, and connecting results from isolated in vitro experiments with results from in vivo and whole-organism studies. However, developing useful mathematical models is challenging because of the often different domains of knowledge required in both math and biology. In this work, we endeavor to provide a useful guide for researchers interested in incorporating mathematical modeling into their scientific process. We advocate for the use of conceptual diagrams as a starting place to an

SUBMITTER: Banwarth-Kuhn M 

PROVIDER: S-EPMC7152750 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature