About lab
Pfeiffer2001 ATP-Pathway Cooperation Lab
This lab runs a microbial metabolic competition model. It asks: when two populations use different ATP-producing strategies — one high-yield (oxidative phosphorylation) and one low-yield but fast (substrate-level phosphorylation) — which strategy wins and why?
The model tracks a shared substrate resource and two populations. The high-yield strategy (N1) produces more ATP per substrate molecule but grows more slowly. The low-yield strategy (N2) grows faster but wastes substrate. The outcome depends on the balance between metabolic efficiency and growth rate, which drives the classic cooperation-competition tradeoff in microbial ecology.
This model wraps the upstream SBML from Pfeiffer et al. (2001), published as BioModels BIOMD0000000337. The dynamics are solved by Tellurium from the original SBML file.
What You'll See
The lab opens as a canvas with one model node and a run-results panel. After running, you will see three visualizations: resource and population trajectories, strategy-fraction time series, and a summary table. The first screenshot shows the canvas and results panel with the trajectory and strategy-fraction plots visible. The second scrolls down to focus on the strategy-fraction plot and the summary table for the same default run.
How to Read the Visualizations
The trajectory plot shows three curves: the shared substrate resource (S), the high-yield population (N1), and the low-yield population (N2). As the populations grow, they deplete the substrate. In the default run shown above, the high-yield population collapses as the low-yield strategy expands, leaving a low-yield-dominated community after the substrate is nearly exhausted.
The strategy-fraction plot shows the proportion of total biomass belonging to each strategy, plus the resource-per-biomass ratio. If one strategy outcompetes the other, its fraction will approach 1.0 while the other approaches 0.0. In the screenshot, the low-yield fraction rises to 1.0 while the high-yield fraction falls to 0.0.
The summary table gives final and extremal values for substrate, population sizes, and strategy fractions. In the default screenshot, final substrate is about 0.0526, final low-yield population is 10, and the high-yield population is effectively zero.
What This Lab Contains
lab.yamldescribes the lab and exposes its outputs.wiring-layout.jsonplaces the model on the canvas.model/model.yamldescribes the model package, parameters, and ports.model/src/pfeiffer2001_atp_cooperation.pywraps the SBML model and computes ecology observables.model/tests/checks output accumulation, visual trajectories, and fraction conservation.model/data/BIOMD0000000337.xmlis the original SBML file from BioModels.
Inputs
Parameters are set through model/model.yaml init_kwargs. The integration_step parameter is also exposed as an input port for workflow wiring.
model_path(path): relative path to the SBML file (defaultdata/BIOMD0000000337.xml). This should not normally be changed.integration_step(time): numerical integration step size for the ODE solver (default 0.1). Also available as an input port. Smaller values give more precise output but take longer. The SBML model's internal parameters (rate constants, initial concentrations) are defined in the SBML file itself, not in init_kwargs.
Outputs
resource_state(concentration): shared substrate resource concentration (S).community_state(population): population sizes for the high-yield (N1) and low-yield (N2) strategies, plus total population.cooperation_metrics(fraction): high-yield fraction, low-yield fraction, and resource-per-biomass ratio.
Recreate and Run with the Biosim CLI
From this lab folder:
cd /path/to/models-ecology/labs/ecology-pfeiffer2001-atp-pathway-cooperation
mkdir -p dist
python -m biosim pack build . --out dist/pfeiffer2001-atp-cooperation.bsilab
python -m biosim pack run dist/pfeiffer2001-atp-cooperation.bsilab
If you are working from this monorepo without installing biosim, use the local package environment instead:
mkdir -p dist
/path/to/bsim-active/biosim/.venv/bin/python -m biosim pack build . --out dist/pfeiffer2001-atp-cooperation.bsilab
/path/to/bsim-active/biosim/.venv/bin/python -m biosim pack run dist/pfeiffer2001-atp-cooperation.bsilab
You can also validate the package before running:
python -m biosim pack validate dist/pfeiffer2001-atp-cooperation.bsilab
Run in the Desktop App
- Open Biosimulant Desktop.
- Go to Projects or Labs.
- Choose the option to open or import an existing lab.
- Select this folder's
lab.yaml. - Open the lab and press Run.
The right side of the app should show the run result and the visualizations.
How to Edit It
For scenario changes, start with model/model.yaml and lab.yaml.
- Change
runtime.durationinlab.yamlfor a longer or shorter simulation. - Change
runtime.communication_stepif you want more or fewer reported points. - Change
integration_stepinmodel/model.yamlfor finer or coarser ODE integration.
To change the biological parameters (rate constants, initial concentrations, stoichiometry), edit the SBML file model/data/BIOMD0000000337.xml directly or replace it with a modified version.
Edit model/src/pfeiffer2001_atp_cooperation.py only if you are changing the observables, adding new output metrics, or modifying the visualization. If you only want a different scenario, prefer changing the SBML file rather than the Python code.
Multi-model lab with an embedded visualisation sibling for Pfeiffer2001 ATP-Pathway Cooperation-Competition Model. Curated SBML packaging of the Pfeiffer2001 ATP-pathway ecology model, exposing substrate dynamics, strategy-specific biomass trajectories, and pathway-fraction diagnostics instead of a generic species dump.
Runtime
Duration75
Comms Step0.1
Runs
Total4
Completed2
Failed2
Metadata
Packageecology-pfeiffer2001-atp-pathway-cooperation-lab
Created2026-05-02
Updated2026-06-13
ecologysbmlmicrobialcooperationcompetitionfaithfulvisualisationother
Manifest
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"outputs": [
{
"name": "resource_state",
"maps_to": "ecology_pfeiffer2001_atp_pathway_cooperation.resource_state"
},
{
"name": "community_state",
"maps_to": "ecology_pfeiffer2001_atp_pathway_cooperation.community_state"
},
{
"name": "cooperation_metrics",
"maps_to": "ecology_pfeiffer2001_atp_pathway_cooperation.cooperation_metrics"
}
]
},
"title": "Pfeiffer2001 ATP-Pathway Cooperation-Competition Model Lab",
"models": [
{
"path": "models/core",
"alias": "ecology_pfeiffer2001_atp_pathway_cooperation"
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{
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"parameters": {
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}
],
"wiring": [
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"package": "ecology-pfeiffer2001-atp-pathway-cooperation-lab",
"runtime": {
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"version": "1.0.1",
"description": "Multi-model lab with an embedded visualisation sibling for Pfeiffer2001 ATP-Pathway Cooperation-Competition Model. Curated SBML packaging of the Pfeiffer2001 ATP-pathway ecology model, exposing substrate dynamics, strategy-specific biomass trajectories, and pathway-fraction diagnostics instead of a generic species dump.",
"schema_version": "2.0"
}Sign in to start your own run. Public-lab history stays visible here.
Logs
No logs yet.
JSON
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],
"title": "Resource and Population Trajectories"
},
"description": "Substrate and strategy-specific biomass trajectories from the Pfeiffer2001 ATP-pathway model.",
"render": "timeseries"
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}
],
"title": "Strategy Fractions"
},
"description": "Population-fraction view for the two ATP-producing strategies, plus substrate per unit biomass.",
"render": "timeseries"
},
{
"data": {
"columns": [
"Metric",
"Value"
],
"rows": [
[
"Final substrate",
"0.0526316"
],
[
"Minimum substrate",
"0.0526316"
],
[
"Final high-yield population",
"2.96112e-10"
],
[
"Final low-yield population",
"10"
],
[
"Final total population",
"10"
],
[
"Peak total population",
"100"
],
[
"Final high-yield fraction",
"2.96112e-11"
],
[
"Final low-yield fraction",
"1"
]
],
"title": "Pfeiffer2001 Summary"
},
"description": "Summary statistics for substrate depletion and pathway competition in the Pfeiffer2001 model.",
"render": "table"
}
]
}
]
}