Fig 1.
The green box shows the mathematical model development steps, blue boxes depict the mathematical checks on the model, orange boxes display the experimental steps, and yellow boxes show the initial steps in model development.
Fig 2.
Parameter inference errors for different temporal sampling periods for substrate frequency increases.
Parameter inference error decreases as concentration and cell population data is collected more frequently. However, collecting samples at intervals shorter than 24 hrs has no further impact on estimation errors for model parameters.
Fig 3.
BIC values for the 22 candidate models.
Different markers show the number of first-order effects on the cell proliferation rate.
Table 1.
Inferred parameters of the OxyGluLac model using experimental data.
Fig 4.
Inferred model versus the in vitro observations. The in silico model results are shown with curves, and the in vitro model results are shown as dots with error bars showing standard deviation.
Fig 5.
A: GSA on terminal values of observables. The x-axis shows the three observables. B: Time evolution of the global sensitivity of cell population to variables controlled during the experiments.
Fig 6.
Lower media refreshment periods result in higher and more stable cell populations.