Chaudhury2020 - Lotka-Volterra mathematical model of CAR-T cell and tumour kinetics Lab

{
  "io": {
    "inputs": [
      {
        "name": "initial_tumor_cells",
        "label": "Tumor cells",
        "units": "native SBML value",
        "default": 900,
        "maps_to": "oncology_sbml_chaudhury2020_lotka_volterra_mathematical_model_biomd0000001024_model.initial_tumor_cells",
        "description": "Initial Tumor cells. Sets the initial value of bundled SBML symbol `Tumor_cells`."
      },
      {
        "name": "initial_expanding_car_t_cells",
        "label": "Expanding CAR T cells",
        "units": "native SBML value",
        "default": 10,
        "maps_to": "oncology_sbml_chaudhury2020_lotka_volterra_mathematical_model_biomd0000001024_model.initial_expanding_car_t_cells",
        "description": "Initial Expanding CAR T cells. Sets the initial value of bundled SBML symbol `Expanding_CAR_T_cells`."
      }
    ],
    "outputs": [
      {
        "name": "tumor_cells",
        "maps_to": "oncology_sbml_chaudhury2020_lotka_volterra_mathematical_model_biomd0000001024_model.tumor_cells",
        "description": "Tumor cells observable. Maps to SBML symbol `Tumor_cells`."
      },
      {
        "name": "expanding_car_t_cells",
        "maps_to": "oncology_sbml_chaudhury2020_lotka_volterra_mathematical_model_biomd0000001024_model.expanding_car_t_cells",
        "description": "Expanding CAR T cells observable. Maps to SBML symbol `Expanding_CAR_T_cells`."
      },
      {
        "name": "state",
        "maps_to": "oncology_sbml_chaudhury2020_lotka_volterra_mathematical_model_biomd0000001024_model.state",
        "description": "Full raw SBML observable record for reproducibility and downstream visualisation."
      },
      {
        "name": "summary",
        "maps_to": "oncology_sbml_chaudhury2020_lotka_volterra_mathematical_model_biomd0000001024_model.summary",
        "description": "Change and peak summary across the simulated SBML observables."
      },
      {
        "name": "species_labels",
        "maps_to": "oncology_sbml_chaudhury2020_lotka_volterra_mathematical_model_biomd0000001024_model.species_labels",
        "description": "Mapping from selected raw SBML observable symbols to display labels."
      }
    ]
  },
  "tags": [
    "biomodels_ebi",
    "car-t",
    "curated",
    "drug-response",
    "faithful",
    "immunology",
    "immunotherapy",
    "oncology",
    "pharmacology",
    "physiology",
    "sbml",
    "systemsbiology",
    "tumor-growth"
  ],
  "title": "Chaudhury2020 - Lotka-Volterra mathematical model of CAR-T cell and tumour kinetics Lab",
  "models": [
    {
      "path": "models/core",
      "alias": "oncology_sbml_chaudhury2020_lotka_volterra_mathematical_model_biomd0000001024_model"
    },
    {
      "path": "models/visualisation",
      "alias": "visualisation"
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.oncology_sbml_chaudhury2020_lotka_volterra_mathematical_model_biomd0000001024_model_state"
      ],
      "from": "oncology_sbml_chaudhury2020_lotka_volterra_mathematical_model_biomd0000001024_model.state"
    },
    {
      "to": [
        "visualisation.oncology_sbml_chaudhury2020_lotka_volterra_mathematical_model_biomd0000001024_model_summary"
      ],
      "from": "oncology_sbml_chaudhury2020_lotka_volterra_mathematical_model_biomd0000001024_model.summary"
    },
    {
      "to": [
        "visualisation.oncology_sbml_chaudhury2020_lotka_volterra_mathematical_model_biomd0000001024_model_species_labels"
      ],
      "from": "oncology_sbml_chaudhury2020_lotka_volterra_mathematical_model_biomd0000001024_model.species_labels"
    }
  ],
  "package": "chaudhury2020-lotka-volterra-mathematical-of-car-t-cell-253ac522",
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 1
  },
  "version": "1.0.0",
  "description": "This ordinary differential equation model of the cellular kinetics and pharmacodynamics of CAR-T cell therapy is described in the publication:Chaudhury, A., Zhu, X., Chu, L., Goliaei, A., June, C., Ke. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.",
  "schema_version": "2.0"
}