Lopez2014 - A Validated Mathematical Model of Tumor Growth Including Tumor-Host Interaction and Cell-Mediated Immune Response Lab
About lab
Lopez2014 - A Validated Mathematical Model of Tumor Growth Including Tumor-Host Interaction and Cell-Mediated Immune Response Lab
Curated immunology lab using the bundled source model as the scientific source of truth.
What You'll See
This captured run documents the default Lopez2014 - A Validated Mathematical Model of Tumor Growth Including Tumor-Host Interaction and Cell-Mediated Immune Response configuration for 10.0 time units with a 1.0 communication step. Default inputs include Initial Tumor Cells, Initial Effector Cells, Initial Healthy Cells, and Effector Death Rate. Reported outputs include tumor_cells, effector_cells, healthy_cells, and state. The screenshots below pair the run-interpretation table with Tumor-immune burden and Largest state excursions so the README shows both trajectories and the strongest state changes from the same dark-mode run.
Output Visualizations
The run-interpretation table summarizes the configured Lopez2014 - A Validated Mathematical Model of Tumor Growth Including Tumor-Host Interaction and Cell-Mediated Immune Response simulation and its final-state diagnostics.
The Tumor-immune burden time series follows the selected immune, pathogen, tumor, or signaling quantities across the simulated horizon.
The largest state excursions chart ranks the state variables that moved furthest during the run.
This is a dynamical model of cancer growth that includes three interacting cell populations of tumor cells, healthy host cells and immune effector cells. It can be used to explore immune response dynamics and compare pathway-level behavior across conditions.
Runtime
Runs
Metadata
Manifest
{
"io": {
"inputs": [
{
"name": "initial_tumor_cells",
"label": "Initial Tumor Cells",
"units": "native source value",
"default": 0.1,
"maps_to": "immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model.initial_tumor_cells",
"description": "Initial Tumor Cells. Sets the initial value of bundled SBML species `x_Tumor_Cells`."
},
{
"name": "initial_effector_cells",
"label": "Initial Effector Cells",
"units": "native source value",
"default": 0.2,
"maps_to": "immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model.initial_effector_cells",
"description": "Initial Effector Cells. Sets the initial value of bundled SBML species `z_Effector_Cells`."
},
{
"name": "initial_healthy_cells",
"label": "Initial Healthy Cells",
"units": "native source value",
"default": 0.9,
"maps_to": "immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model.initial_healthy_cells",
"description": "Initial Healthy Cells. Sets the initial value of bundled SBML species `y_Healthy_Cells`."
},
{
"name": "effector_death_rate",
"label": "Effector Death Rate",
"units": "native source value",
"default": 0.112,
"maps_to": "immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model.effector_death_rate",
"description": "Effector Death Rate. Sets bundled SBML parameter `d_3`."
}
],
"outputs": [
{
"name": "tumor_cells",
"maps_to": "immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model.tumor_cells"
},
{
"name": "effector_cells",
"maps_to": "immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model.effector_cells"
},
{
"name": "healthy_cells",
"maps_to": "immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model.healthy_cells"
},
{
"name": "state",
"maps_to": "immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model.state"
},
{
"name": "summary",
"maps_to": "immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model.summary"
},
{
"name": "species_labels",
"maps_to": "immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model.species_labels"
}
]
},
"title": "Lopez2014 - A Validated Mathematical Model of Tumor Growth Including Tumor-Host Interaction and Cell-Mediated Immune Response Lab",
"models": [
{
"path": "owned/models/immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model",
"alias": "immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model",
"provenance": {
"owned_path": "owned/models/immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model"
}
},
{
"path": "owned/models/visualisation",
"alias": "visualisation",
"provenance": {
"owned_path": "owned/models/visualisation"
}
}
],
"wiring": [
{
"to": [
"visualisation.immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model_state"
],
"from": "immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model.state"
},
{
"to": [
"visualisation.immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model_summary"
],
"from": "immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model.summary"
},
{
"to": [
"visualisation.immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model_species_labels"
],
"from": "immunology_sbml_lopez2014_a_validated_mathematical_model_of_tumo_biomd0000000784_model.species_labels"
}
],
"runtime": {
"duration": 10,
"initial_inputs": {},
"communication_step": 1
},
"description": "This is a dynamical model of cancer growth that includes three interacting cell populations of tumor cells, healthy host cells and immune effector cells. It can be used to explore immune response dynamics and compare pathway-level behavior across conditions.",
"schema_version": "2.0"
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