Dritschel2018 - A mathematical model of cytotoxic and helper T cell interactions in a tumour microenvironment Lab

{
  "io": {
    "inputs": [
      {
        "name": "ntilde_source_parameter",
        "label": "Ntilde source parameter",
        "units": "native SBML value",
        "default": 0.04,
        "maps_to": "oncology_sbml_dritschel2018_a_mathematical_model_of_cytotoxic_biomd0000000763_model.ntilde_source_parameter",
        "description": "Ntilde source parameter. Maps to bundled SBML parameter `Ntilde`."
      },
      {
        "name": "initial_n_tumor",
        "label": "N Tumour",
        "units": "native SBML value",
        "default": 0.01,
        "maps_to": "oncology_sbml_dritschel2018_a_mathematical_model_of_cytotoxic_biomd0000000763_model.initial_n_tumor",
        "description": "Initial N Tumour. Sets the initial value of bundled SBML symbol `N_Tumour`."
      }
    ],
    "outputs": [
      {
        "name": "n_tumor",
        "maps_to": "oncology_sbml_dritschel2018_a_mathematical_model_of_cytotoxic_biomd0000000763_model.n_tumor",
        "description": "N Tumour observable. Maps to SBML symbol `N_Tumour`."
      },
      {
        "name": "t_h",
        "maps_to": "oncology_sbml_dritschel2018_a_mathematical_model_of_cytotoxic_biomd0000000763_model.t_h",
        "description": "T H observable. Maps to SBML symbol `T_H`."
      },
      {
        "name": "t_c",
        "maps_to": "oncology_sbml_dritschel2018_a_mathematical_model_of_cytotoxic_biomd0000000763_model.t_c",
        "description": "T C observable. Maps to SBML symbol `T_C`."
      },
      {
        "name": "state",
        "maps_to": "oncology_sbml_dritschel2018_a_mathematical_model_of_cytotoxic_biomd0000000763_model.state",
        "description": "Full raw SBML observable record for reproducibility and downstream visualisation."
      },
      {
        "name": "summary",
        "maps_to": "oncology_sbml_dritschel2018_a_mathematical_model_of_cytotoxic_biomd0000000763_model.summary",
        "description": "Change and peak summary across the simulated SBML observables."
      },
      {
        "name": "species_labels",
        "maps_to": "oncology_sbml_dritschel2018_a_mathematical_model_of_cytotoxic_biomd0000000763_model.species_labels",
        "description": "Mapping from selected raw SBML observable symbols to display labels."
      }
    ]
  },
  "tags": [
    "biomodels_ebi",
    "curated",
    "faithful",
    "immunology",
    "immunotherapy",
    "microenvironment",
    "oncology",
    "physiology",
    "sbml",
    "systemsbiology",
    "tumor-growth"
  ],
  "title": "Dritschel2018 - A mathematical model of cytotoxic and helper T cell interactions in a tumour microenvironment Lab",
  "models": [
    {
      "path": "models/core",
      "alias": "oncology_sbml_dritschel2018_a_mathematical_model_of_cytotoxic_biomd0000000763_model"
    },
    {
      "path": "models/visualisation",
      "alias": "visualisation"
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.oncology_sbml_dritschel2018_a_mathematical_model_of_cytotoxic_biomd0000000763_model_state"
      ],
      "from": "oncology_sbml_dritschel2018_a_mathematical_model_of_cytotoxic_biomd0000000763_model.state"
    },
    {
      "to": [
        "visualisation.oncology_sbml_dritschel2018_a_mathematical_model_of_cytotoxic_biomd0000000763_model_summary"
      ],
      "from": "oncology_sbml_dritschel2018_a_mathematical_model_of_cytotoxic_biomd0000000763_model.summary"
    },
    {
      "to": [
        "visualisation.oncology_sbml_dritschel2018_a_mathematical_model_of_cytotoxic_biomd0000000763_model_species_labels"
      ],
      "from": "oncology_sbml_dritschel2018_a_mathematical_model_of_cytotoxic_biomd0000000763_model.species_labels"
    }
  ],
  "package": "dritschel2018-a-mathematical-of-cytotoxic-and-helper-t-568b90ff",
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 1
  },
  "version": "1.0.0",
  "description": "This model examines the role of helper and cytotoxic T cells in an anti-tumour response, with implicit inclusions of immunosuppressive effects. The model demonstrates the dependence of immunoediting o.",
  "schema_version": "2.0"
}