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Malinzi2018 - Enhancement of chemotherapy using oncolytic virotherapy Lab

About lab

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.

Runtime

Duration0.055
Comms Step1

Runs

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Metadata

Packagemalinzi2018-enhancement-of-chemotherapy-using-oncolytic-virother
Created2026-05-16
Updated2026-05-16
biomodels_ebichemotherapycurateddrug-responsefaithfulimmunotherapyoncologypharmacologyphysiologysbmlsystemsbiologytumor-growthvirotherapyvisualisation

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": "1e-6",
        "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": "owned/models/oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model",
      "alias": "oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model",
      "provenance": {
        "owned_path": "owned/models/oncology_sbml_malinzi2018_enhancement_of_chemotherapy_using_on_model2003050002_model"
      }
    },
    {
      "path": "owned/models/visualisation",
      "alias": "visualisation",
      "provenance": {
        "owned_path": "owned/models/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"
    }
  ],
  "runtime": {
    "duration": 0.055,
    "initial_inputs": {},
    "communication_step": 1
  },
  "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"
}

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