Generating data to make predictions about system behavior under various conditions.
For researchers, this feature allows for rapid hypothesis testing. If a wet-lab experiment yields unexpected results, the dynamic modeling appendix allows for quick "back of the napkin" calculations to see if a proposed mechanism (e.g., "is there a time delay in the feedback loop?") could mathematically produce the observed data. dynamic models in biology pdf
Life is noisy. Small molecule numbers in a cell lead to random fluctuations. Stochastic models (like the Gillespie algorithm) are critical for: Generating data to make predictions about system behavior