About lab
One published Lab
Build with this Lab. Run it anywhere.
Use the same immutable release locally or through managed cloud execution, with its exact version and provenance preserved.
Preparing exact examples…
Systems Biology Weisse2015Cell Growth Model1502270000Model captures systemsbiology weisse2015 cell growth model1502270000 behavior in the context of systemsbiology, sbml, biomodels_ebi using a biomodels_ebi-sou. When you run it, you can observe state and evaluate how the modeled system changes across runs.
Manifest
{
"io": {
"inputs": [
{
"name": "initial_model_state_zmt",
"label": "Initial Model State Zmt",
"maps_to": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.initial_model_state_zmt",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `zmt`."
},
{
"name": "initial_model_state_zmr",
"label": "Initial Model State Zmr",
"maps_to": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.initial_model_state_zmr",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `zmr`."
},
{
"name": "initial_model_state_zmq",
"label": "Initial Model State Zmq",
"maps_to": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.initial_model_state_zmq",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `zmq`."
},
{
"name": "initial_model_state_zmp",
"label": "Initial Model State Zmp",
"maps_to": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.initial_model_state_zmp",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `zmp`."
},
{
"name": "initial_model_state_zmm",
"label": "Initial Model State Zmm",
"maps_to": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.initial_model_state_zmm",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `zmm`."
},
{
"name": "initial_model_state_si",
"label": "Initial Model State Si",
"maps_to": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.initial_model_state_si",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `si`."
}
],
"outputs": [
{
"name": "state",
"maps_to": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.state"
},
{
"name": "summary",
"maps_to": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.summary"
},
{
"name": "species_labels",
"maps_to": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.species_labels"
},
{
"name": "zmt",
"maps_to": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.zmt"
},
{
"name": "zmr",
"maps_to": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.zmr"
},
{
"name": "zmq",
"maps_to": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.zmq"
},
{
"name": "zmp",
"maps_to": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.zmp"
},
{
"name": "zmm",
"maps_to": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.zmm"
},
{
"name": "model_state_si",
"maps_to": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.model_state_si"
}
]
},
"tags": [
"systemsbiology",
"sbml",
"biomodels_ebi",
"faithful",
"curated"
],
"title": "Weisse2015 Cell Growth Lab",
"models": [
{
"path": "models/core",
"alias": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model"
},
{
"path": "models/visualisation",
"alias": "visualisation"
}
],
"wiring": [
{
"to": [
"visualisation.systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model_state"
],
"from": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.state"
},
{
"to": [
"visualisation.systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model_summary"
],
"from": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.summary"
},
{
"to": [
"visualisation.systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model_species_labels"
],
"from": "systemsbiology_sbml_weisse2015_cell_growth_model1502270000_model.species_labels"
}
],
"package": "weisse2015-cell-growth",
"runtime": {
"duration": 1,
"initial_inputs": {},
"communication_step": 0.1
},
"version": "1.0.0",
"description": "Systems Biology Weisse2015Cell Growth Model1502270000Model captures systemsbiology weisse2015 cell growth model1502270000 behavior in the context of systemsbiology, sbml, biomodels_ebi using a biomodels_ebi-sou. When you run it, you can observe state and evaluate how the modeled system changes across runs.",
"schema_version": "2.0"
}Runtime
Duration1
Comms Step0.1
Runs
Total0
Completed0
Failed0
Metadata
Packageweisse2015-cell-growth
Created2026-05-17
Updated2026-06-13
systemsbiologysbmlbiomodels_ebifaithfulcuratedvisualisationother