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IA spatio-temporal mathematical model, in the form of a moving boundary problem, to explain cancer dormancy is developed. Analysis of the model is carried out for both temporal and spatio-temporal cas.
Manifest
{
"io": {
"inputs": [
{
"name": "initial_uninfected_tumor_cells",
"label": "Uninfected Tumor Cells",
"units": "native SBML value",
"default": 0.8,
"maps_to": "oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model.initial_uninfected_tumor_cells",
"description": "Initial Uninfected Tumor Cells. Sets the initial value of bundled SBML symbol `T`."
},
{
"name": "initial_infected_tumor_cells",
"label": "Infected Tumor Cells",
"units": "native SBML value",
"default": 0.3,
"maps_to": "oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model.initial_infected_tumor_cells",
"description": "Initial Infected Tumor Cells. Sets the initial value of bundled SBML symbol `I`."
},
{
"name": "initial_chemotherapy_level",
"label": "Chemotherapy Level",
"units": "native SBML value",
"default": 0.000001,
"maps_to": "oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model.initial_chemotherapy_level",
"description": "Initial Chemotherapy Level. Sets the initial value of bundled SBML symbol `C`."
}
],
"outputs": [
{
"name": "uninfected_tumor_cells",
"maps_to": "oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model.uninfected_tumor_cells",
"description": "Uninfected Tumor Cells observable. Maps to SBML symbol `T`."
},
{
"name": "infected_tumor_cells",
"maps_to": "oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model.infected_tumor_cells",
"description": "Infected Tumor Cells observable. Maps to SBML symbol `I`."
},
{
"name": "chemotherapy_level",
"maps_to": "oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model.chemotherapy_level",
"description": "Chemotherapy Level observable. Maps to SBML symbol `C`."
},
{
"name": "state",
"maps_to": "oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model.state",
"description": "Full raw SBML observable record for reproducibility and downstream visualisation."
},
{
"name": "summary",
"maps_to": "oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model.summary",
"description": "Change and peak summary across the simulated SBML observables."
},
{
"name": "species_labels",
"maps_to": "oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model.species_labels",
"description": "Mapping from selected raw SBML observable symbols to display labels."
}
]
},
"tags": [
"biomodels_ebi",
"chemotherapy",
"curated",
"drug-response",
"faithful",
"immunotherapy",
"oncology",
"pharmacology",
"physiology",
"sbml",
"systemsbiology",
"tumor-growth",
"virotherapy"
],
"title": "Malinzi2018 - Enhancement of chemotherapy using oncolytic virotherapy Lab",
"models": [
{
"path": "models/core",
"alias": "oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model"
},
{
"path": "models/visualisation",
"alias": "visualisation"
}
],
"wiring": [
{
"to": [
"visualisation.oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model_state"
],
"from": "oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model.state"
},
{
"to": [
"visualisation.oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model_summary"
],
"from": "oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model.summary"
},
{
"to": [
"visualisation.oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model_species_labels"
],
"from": "oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model.species_labels"
}
],
"package": "malinzi2018-enhancement-of-chemotherapy-using-oncolytic-7800be95",
"runtime": {
"duration": 0.055,
"initial_inputs": {},
"communication_step": 1
},
"version": "1.0.0",
"description": "IA spatio-temporal mathematical model, in the form of a moving boundary problem, to explain cancer dormancy is developed. Analysis of the model is carried out for both temporal and spatio-temporal cas.",
"schema_version": "2.0"
}Runtime
Duration0.055
Comms Step1
Runs
Total0
Completed0
Failed0
Metadata
Packagemalinzi2018-enhancement-of-chemotherapy-using-oncolytic-7800be95
Created2026-05-16
Updated2026-06-13
biomodels_ebichemotherapycurateddrug-responsefaithfulimmunotherapyoncologypharmacologyphysiologysbmlsystemsbiologytumor-growthvirotherapyvisualisationother