Khajanchi2015 - The combined effects of optimal control in cancer remission Lab

{
  "io": {
    "inputs": [
      {
        "name": "initial_effector_cells",
        "label": "Effector Cells",
        "units": "native SBML value",
        "default": 1708110,
        "maps_to": "oncology_sbml_khajanchi2015_the_combined_effects_of_optimal_co_biomd0000000897_model.initial_effector_cells",
        "description": "Initial Effector Cells. Sets the initial value of bundled SBML symbol `E`."
      },
      {
        "name": "initial_tumor_cells",
        "label": "Tumor Cells",
        "units": "native SBML value",
        "default": 8286380,
        "maps_to": "oncology_sbml_khajanchi2015_the_combined_effects_of_optimal_co_biomd0000000897_model.initial_tumor_cells",
        "description": "Initial Tumor Cells. Sets the initial value of bundled SBML symbol `T`."
      }
    ],
    "outputs": [
      {
        "name": "effector_cells",
        "maps_to": "oncology_sbml_khajanchi2015_the_combined_effects_of_optimal_co_biomd0000000897_model.effector_cells",
        "description": "Effector Cells observable. Maps to SBML symbol `E`."
      },
      {
        "name": "tumor_cells",
        "maps_to": "oncology_sbml_khajanchi2015_the_combined_effects_of_optimal_co_biomd0000000897_model.tumor_cells",
        "description": "Tumor Cells observable. Maps to SBML symbol `T`."
      },
      {
        "name": "state",
        "maps_to": "oncology_sbml_khajanchi2015_the_combined_effects_of_optimal_co_biomd0000000897_model.state",
        "description": "Full raw SBML observable record for reproducibility and downstream visualisation."
      },
      {
        "name": "summary",
        "maps_to": "oncology_sbml_khajanchi2015_the_combined_effects_of_optimal_co_biomd0000000897_model.summary",
        "description": "Change and peak summary across the simulated SBML observables."
      },
      {
        "name": "species_labels",
        "maps_to": "oncology_sbml_khajanchi2015_the_combined_effects_of_optimal_co_biomd0000000897_model.species_labels",
        "description": "Mapping from selected raw SBML observable symbols to display labels."
      }
    ]
  },
  "tags": [
    "biomodels_ebi",
    "curated",
    "drug-response",
    "faithful",
    "immunology",
    "immunotherapy",
    "microenvironment",
    "oncology",
    "pharmacology",
    "physiology",
    "sbml",
    "systemsbiology",
    "tumor-growth"
  ],
  "title": "Khajanchi2015 - The combined effects of optimal control in cancer remission Lab",
  "models": [
    {
      "path": "models/core",
      "alias": "oncology_sbml_khajanchi2015_the_combined_effects_of_optimal_co_biomd0000000897_model"
    },
    {
      "path": "models/visualisation",
      "alias": "visualisation"
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.oncology_sbml_khajanchi2015_the_combined_effects_of_optimal_co_biomd0000000897_model_state"
      ],
      "from": "oncology_sbml_khajanchi2015_the_combined_effects_of_optimal_co_biomd0000000897_model.state"
    },
    {
      "to": [
        "visualisation.oncology_sbml_khajanchi2015_the_combined_effects_of_optimal_co_biomd0000000897_model_summary"
      ],
      "from": "oncology_sbml_khajanchi2015_the_combined_effects_of_optimal_co_biomd0000000897_model.summary"
    },
    {
      "to": [
        "visualisation.oncology_sbml_khajanchi2015_the_combined_effects_of_optimal_co_biomd0000000897_model_species_labels"
      ],
      "from": "oncology_sbml_khajanchi2015_the_combined_effects_of_optimal_co_biomd0000000897_model.species_labels"
    }
  ],
  "package": "khajanchi2015-the-combined-effects-of-optimal-control-i-c3b7f52d",
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 1
  },
  "version": "1.0.0",
  "description": "The combined effects of optimal control in cancer remissionSubhasKhajanchiDibakarGhoshAbstractWe investigate a mathematical model depicting the nonlinear dynamics of immunogenic tumors as envisioned b. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.",
  "schema_version": "2.0"
}