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This is a mathematical model using a Gompertz growth law to describe the in vivo dynamics of a cancer under treatment with an oncolytic virus. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.
Manifest
{
"io": {
"inputs": [
{
"name": "initial_uninfected_tumor_cells",
"label": "Uninfected Tumor Cells",
"units": "native SBML value",
"default": 75,
"maps_to": "oncology_sbml_jenner2019_oncolytic_virotherapy_for_tumours_fol_biomd0000000850_model.initial_uninfected_tumor_cells",
"description": "Initial Uninfected Tumor Cells. Sets the initial value of bundled SBML symbol `U`."
},
{
"name": "initial_infected_tumor_cells",
"label": "Infected Tumor Cells",
"units": "native SBML value",
"default": 100,
"maps_to": "oncology_sbml_jenner2019_oncolytic_virotherapy_for_tumours_fol_biomd0000000850_model.initial_infected_tumor_cells",
"description": "Initial Infected Tumor Cells. Sets the initial value of bundled SBML symbol `I`."
},
{
"name": "initial_virus_load",
"label": "Virus Load",
"units": "native SBML value",
"default": 10,
"maps_to": "oncology_sbml_jenner2019_oncolytic_virotherapy_for_tumours_fol_biomd0000000850_model.initial_virus_load",
"description": "Initial Virus Load. Sets the initial value of bundled SBML symbol `V`."
}
],
"outputs": [
{
"name": "uninfected_tumor_cells",
"maps_to": "oncology_sbml_jenner2019_oncolytic_virotherapy_for_tumours_fol_biomd0000000850_model.uninfected_tumor_cells",
"description": "Uninfected Tumor Cells observable. Maps to SBML symbol `U`."
},
{
"name": "infected_tumor_cells",
"maps_to": "oncology_sbml_jenner2019_oncolytic_virotherapy_for_tumours_fol_biomd0000000850_model.infected_tumor_cells",
"description": "Infected Tumor Cells observable. Maps to SBML symbol `I`."
},
{
"name": "virus_load",
"maps_to": "oncology_sbml_jenner2019_oncolytic_virotherapy_for_tumours_fol_biomd0000000850_model.virus_load",
"description": "Virus Load observable. Maps to SBML symbol `V`."
},
{
"name": "state",
"maps_to": "oncology_sbml_jenner2019_oncolytic_virotherapy_for_tumours_fol_biomd0000000850_model.state",
"description": "Full raw SBML observable record for reproducibility and downstream visualisation."
},
{
"name": "summary",
"maps_to": "oncology_sbml_jenner2019_oncolytic_virotherapy_for_tumours_fol_biomd0000000850_model.summary",
"description": "Change and peak summary across the simulated SBML observables."
},
{
"name": "species_labels",
"maps_to": "oncology_sbml_jenner2019_oncolytic_virotherapy_for_tumours_fol_biomd0000000850_model.species_labels",
"description": "Mapping from selected raw SBML observable symbols to display labels."
}
]
},
"tags": [
"biomodels_ebi",
"curated",
"drug-response",
"faithful",
"immunotherapy",
"oncology",
"pharmacology",
"physiology",
"sbml",
"systemsbiology",
"tumor-growth",
"virotherapy"
],
"title": "Jenner2019 - Oncolytic virotherapy for tumours following a Gompertz growth law Lab",
"models": [
{
"path": "models/core",
"alias": "oncology_sbml_jenner2019_oncolytic_virotherapy_for_tumours_fol_biomd0000000850_model"
},
{
"path": "models/visualisation",
"alias": "visualisation"
}
],
"wiring": [
{
"to": [
"visualisation.oncology_sbml_jenner2019_oncolytic_virotherapy_for_tumours_fol_biomd0000000850_model_state"
],
"from": "oncology_sbml_jenner2019_oncolytic_virotherapy_for_tumours_fol_biomd0000000850_model.state"
},
{
"to": [
"visualisation.oncology_sbml_jenner2019_oncolytic_virotherapy_for_tumours_fol_biomd0000000850_model_summary"
],
"from": "oncology_sbml_jenner2019_oncolytic_virotherapy_for_tumours_fol_biomd0000000850_model.summary"
},
{
"to": [
"visualisation.oncology_sbml_jenner2019_oncolytic_virotherapy_for_tumours_fol_biomd0000000850_model_species_labels"
],
"from": "oncology_sbml_jenner2019_oncolytic_virotherapy_for_tumours_fol_biomd0000000850_model.species_labels"
}
],
"package": "jenner2019-oncolytic-virotherapy-for-tumours-following-172c9885",
"runtime": {
"duration": 10,
"initial_inputs": {},
"communication_step": 1
},
"version": "1.0.0",
"description": "This is a mathematical model using a Gompertz growth law to describe the in vivo dynamics of a cancer under treatment with an oncolytic virus. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.",
"schema_version": "2.0"
}Runtime
Duration10
Comms Step1
Runs
Total0
Completed0
Failed0
Metadata
Packagejenner2019-oncolytic-virotherapy-for-tumours-following-172c9885
Created2026-05-16
Updated2026-06-13
biomodels_ebicurateddrug-responsefaithfulimmunotherapyoncologypharmacologyphysiologysbmlsystemsbiologytumor-growthvirotherapyvisualisationother