Population dynamics
This model describes the population dynamics of an E. coli / C. glutamicum co-culture as a two-species competition with Monod-type growth. Each species grows according to its substrate affinity and maximum growth rate, and C. glutamicum additionally carries a density-dependent death term.
It is a simpler precursor to the dynamic enterobactin model, with no shared siderophore variable, and illustrates the baseline competition dynamics of the two organisms.
Simulation parameters
Initial conditions
Analyses
Time course
Loading chart...
Add analysis
Model Details
Review and edit model structure, biological variables, and kinetic parameters.
| Name | Tex name | Initial value | Actions |
|---|---|---|---|
Edit Options
Edit Options
Generated LaTeX Code
\begin{align*}
\frac{d E.\ coli}{dt} &= E.\ coli \cdot a_e \cdot \mu_e \\
\frac{d C.\ gluta}{dt} &= C.\ gluta \cdot a_c \cdot \mu_c - \theta \cdot C.\ gluta \cdot C.\ gluta
\end{align*}Fit to data
Fit settings
| Setting | Value |
|---|---|
| Fit backend | |
| Function evaluations per progress update | |
| Maximum total function evaluations | |
| Stop once residual norm reaches |
Curriculum learning (advanced)
Every bar shares one fixed step budget. Drag a divider to move a cutoff, drag a bar's top edge (or focus it and use the arrow keys) to change its share — the final stage isn't draggable, it always gets whatever's left. Double-click a bar or use its + to split it, use a divider's × (or Delete/Backspace while it's focused) to remove it.
| Stage | Data cutoff | Iteration budget |
|---|---|---|
| 1 (final) | full data | 1000 iterations (runs to convergence within this) |
Data
Plot options
| Parameter | Fit | Log-space | Initial guess / fixed value | Fitted value |
|---|---|---|---|---|
| mu_e | — | |||
| mu_c | — | |||
| a_e | — | |||
| a_c | — | |||
| theta | — |