Ribba2018 - Mathematical Model of Tumor Uptake for Immunocytokine-Based Cancer Immunotherapy Lab

{
  "io": {
    "inputs": [
      {
        "name": "epsilon_source_parameter",
        "label": "Epsilon source parameter",
        "units": "native SBML value",
        "default": 0.25,
        "maps_to": "oncology_sbml_ribba2018_mathematical_model_of_tumor_uptake_for_model1909050002_model.epsilon_source_parameter",
        "description": "Epsilon source parameter. Maps to bundled SBML parameter `epsilon`."
      },
      {
        "name": "initial_for_epsilon_source_parameter",
        "label": "for epsilon source parameter",
        "units": "native SBML value",
        "default": 0.25,
        "maps_to": "oncology_sbml_ribba2018_mathematical_model_of_tumor_uptake_for_model1909050002_model.initial_for_epsilon_source_parameter",
        "description": "Initial for epsilon source parameter. Maps to bundled SBML parameter `ModelValue_2`."
      },
      {
        "name": "initial_a_1_b",
        "label": "A 1 b",
        "units": "native SBML value",
        "default": 8,
        "maps_to": "oncology_sbml_ribba2018_mathematical_model_of_tumor_uptake_for_model1909050002_model.initial_a_1_b",
        "description": "Initial A 1 b. Sets the initial value of bundled SBML symbol `A_1_b`."
      },
      {
        "name": "initial_c_4_t",
        "label": "C 4 T",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "oncology_sbml_ribba2018_mathematical_model_of_tumor_uptake_for_model1909050002_model.initial_c_4_t",
        "description": "Initial C 4 T. Sets the initial value of bundled SBML symbol `C_4_T`."
      }
    ],
    "outputs": [
      {
        "name": "a_1_b",
        "maps_to": "oncology_sbml_ribba2018_mathematical_model_of_tumor_uptake_for_model1909050002_model.a_1_b",
        "description": "A 1 b observable. Maps to SBML symbol `A_1_b`."
      },
      {
        "name": "c_4_t",
        "maps_to": "oncology_sbml_ribba2018_mathematical_model_of_tumor_uptake_for_model1909050002_model.c_4_t",
        "description": "C 4 T observable. Maps to SBML symbol `C_4_T`."
      },
      {
        "name": "state",
        "maps_to": "oncology_sbml_ribba2018_mathematical_model_of_tumor_uptake_for_model1909050002_model.state",
        "description": "Full raw SBML observable record for reproducibility and downstream visualisation."
      },
      {
        "name": "summary",
        "maps_to": "oncology_sbml_ribba2018_mathematical_model_of_tumor_uptake_for_model1909050002_model.summary",
        "description": "Change and peak summary across the simulated SBML observables."
      },
      {
        "name": "species_labels",
        "maps_to": "oncology_sbml_ribba2018_mathematical_model_of_tumor_uptake_for_model1909050002_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": "Ribba2018 - Mathematical Model of Tumor Uptake for Immunocytokine-Based Cancer Immunotherapy Lab",
  "models": [
    {
      "path": "models/core",
      "alias": "oncology_sbml_ribba2018_mathematical_model_of_tumor_uptake_for_model1909050002_model"
    },
    {
      "path": "models/visualisation",
      "alias": "visualisation"
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.oncology_sbml_ribba2018_mathematical_model_of_tumor_uptake_for_model1909050002_model_state"
      ],
      "from": "oncology_sbml_ribba2018_mathematical_model_of_tumor_uptake_for_model1909050002_model.state"
    },
    {
      "to": [
        "visualisation.oncology_sbml_ribba2018_mathematical_model_of_tumor_uptake_for_model1909050002_model_summary"
      ],
      "from": "oncology_sbml_ribba2018_mathematical_model_of_tumor_uptake_for_model1909050002_model.summary"
    },
    {
      "to": [
        "visualisation.oncology_sbml_ribba2018_mathematical_model_of_tumor_uptake_for_model1909050002_model_species_labels"
      ],
      "from": "oncology_sbml_ribba2018_mathematical_model_of_tumor_uptake_for_model1909050002_model.species_labels"
    }
  ],
  "package": "ribba2018-mathematical-of-tumor-uptake-for-immunocytoki-c3a82eb6",
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 1
  },
  "version": "1.0.0",
  "description": "This is a model developed to predict concentrations of cergutuzumab amunaleukin (CEA-IL2v) after various systemic dosing intensities. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.",
  "schema_version": "2.0"
}