Segun2018 - model of breast cancer determing Chemotherapy and Keto diet response Lab

{
  "io": {
    "inputs": [
      {
        "name": "initial_breast_tumor_cells",
        "label": "Breast Tumor Cells",
        "units": "native SBML value",
        "default": 800,
        "maps_to": "oncology_sbml_segun2018_model_of_breast_cancer_determing_chemo_model2003050001_model.initial_breast_tumor_cells",
        "description": "Initial Breast Tumor Cells. Sets the initial value of bundled SBML symbol `T`."
      },
      {
        "name": "initial_normal_cells",
        "label": "Normal Cells",
        "units": "native SBML value",
        "default": 2000,
        "maps_to": "oncology_sbml_segun2018_model_of_breast_cancer_determing_chemo_model2003050001_model.initial_normal_cells",
        "description": "Initial Normal Cells. Sets the initial value of bundled SBML symbol `N`."
      }
    ],
    "outputs": [
      {
        "name": "breast_tumor_cells",
        "maps_to": "oncology_sbml_segun2018_model_of_breast_cancer_determing_chemo_model2003050001_model.breast_tumor_cells",
        "description": "Breast Tumor Cells observable. Maps to SBML symbol `T`."
      },
      {
        "name": "normal_cells",
        "maps_to": "oncology_sbml_segun2018_model_of_breast_cancer_determing_chemo_model2003050001_model.normal_cells",
        "description": "Normal Cells observable. Maps to SBML symbol `N`."
      },
      {
        "name": "state",
        "maps_to": "oncology_sbml_segun2018_model_of_breast_cancer_determing_chemo_model2003050001_model.state",
        "description": "Full raw SBML observable record for reproducibility and downstream visualisation."
      },
      {
        "name": "summary",
        "maps_to": "oncology_sbml_segun2018_model_of_breast_cancer_determing_chemo_model2003050001_model.summary",
        "description": "Change and peak summary across the simulated SBML observables."
      },
      {
        "name": "species_labels",
        "maps_to": "oncology_sbml_segun2018_model_of_breast_cancer_determing_chemo_model2003050001_model.species_labels",
        "description": "Mapping from selected raw SBML observable symbols to display labels."
      }
    ]
  },
  "tags": [
    "biomodels_ebi",
    "chemotherapy",
    "curated",
    "drug-response",
    "faithful",
    "oncology",
    "pharmacology",
    "physiology",
    "sbml",
    "systemsbiology",
    "tumor-growth"
  ],
  "title": "Segun2018 - model of breast cancer determing Chemotherapy and Keto diet response Lab",
  "models": [
    {
      "path": "owned/models/oncology_sbml_segun2018_model_of_breast_cancer_determing_chemo_model2003050001_model",
      "alias": "oncology_sbml_segun2018_model_of_breast_cancer_determing_chemo_model2003050001_model",
      "provenance": {
        "owned_path": "owned/models/oncology_sbml_segun2018_model_of_breast_cancer_determing_chemo_model2003050001_model"
      }
    },
    {
      "path": "owned/models/visualisation",
      "alias": "visualisation",
      "provenance": {
        "owned_path": "owned/models/visualisation"
      }
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.oncology_sbml_segun2018_model_of_breast_cancer_determing_chemo_model2003050001_model_state"
      ],
      "from": "oncology_sbml_segun2018_model_of_breast_cancer_determing_chemo_model2003050001_model.state"
    },
    {
      "to": [
        "visualisation.oncology_sbml_segun2018_model_of_breast_cancer_determing_chemo_model2003050001_model_summary"
      ],
      "from": "oncology_sbml_segun2018_model_of_breast_cancer_determing_chemo_model2003050001_model.summary"
    },
    {
      "to": [
        "visualisation.oncology_sbml_segun2018_model_of_breast_cancer_determing_chemo_model2003050001_model_species_labels"
      ],
      "from": "oncology_sbml_segun2018_model_of_breast_cancer_determing_chemo_model2003050001_model.species_labels"
    }
  ],
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 1
  },
  "description": "optimal control theory is applied to find out the optimal drug adjustment as an input control of the system therapies to minimize the number of cancerous cells by considering different controlled comb. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.",
  "schema_version": "2.0"
}