Kosinsky2018 - Radiation and PD-(L)1 treatment combinations Lab

{
  "io": {
    "inputs": [
      {
        "name": "radiation_dose_source_parameter",
        "label": "Radiation Dose source parameter",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.radiation_dose_source_parameter",
        "description": "Radiation Dose source parameter. Maps to bundled SBML parameter `radiation_Dose`."
      },
      {
        "name": "initial_dsb",
        "label": "DSB",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.initial_dsb",
        "description": "Initial DSB. Sets the initial value of bundled SBML symbol `U`."
      },
      {
        "name": "initial_pd_l1",
        "label": "PDL1",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.initial_pd_l1",
        "description": "Initial PDL1. Sets the initial value of bundled SBML symbol `PDL1`."
      },
      {
        "name": "initial_tvd",
        "label": "TVD",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.initial_tvd",
        "description": "Initial TVD. Sets the initial value of bundled SBML symbol `TVd`."
      },
      {
        "name": "initial_tc_nd",
        "label": "TC ND",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.initial_tc_nd",
        "description": "Initial TC ND. Sets the initial value of bundled SBML symbol `nTeff`."
      },
      {
        "name": "initial_tc_d",
        "label": "TC D",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.initial_tc_d",
        "description": "Initial TC D. Sets the initial value of bundled SBML symbol `dTeff`."
      }
    ],
    "outputs": [
      {
        "name": "tv",
        "maps_to": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.tv",
        "description": "TV observable. Maps to SBML symbol `TV`."
      },
      {
        "name": "dsb",
        "maps_to": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.dsb",
        "description": "DSB observable. Maps to SBML symbol `U`."
      },
      {
        "name": "pd_l1",
        "maps_to": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.pd_l1",
        "description": "PDL1 observable. Maps to SBML symbol `PDL1`."
      },
      {
        "name": "tvd",
        "maps_to": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.tvd",
        "description": "TVD observable. Maps to SBML symbol `TVd`."
      },
      {
        "name": "tc_nd",
        "maps_to": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.tc_nd",
        "description": "TC ND observable. Maps to SBML symbol `nTeff`."
      },
      {
        "name": "tc_d",
        "maps_to": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.tc_d",
        "description": "TC D observable. Maps to SBML symbol `dTeff`."
      },
      {
        "name": "state",
        "maps_to": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.state",
        "description": "Full raw SBML observable record for reproducibility and downstream visualisation."
      },
      {
        "name": "summary",
        "maps_to": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.summary",
        "description": "Change and peak summary across the simulated SBML observables."
      },
      {
        "name": "species_labels",
        "maps_to": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.species_labels",
        "description": "Mapping from selected raw SBML observable symbols to display labels."
      }
    ]
  },
  "tags": [
    "biomodels_ebi",
    "curated",
    "drug-response",
    "faithful",
    "oncology",
    "pharmacology",
    "physiology",
    "radiotherapy",
    "sbml",
    "systemsbiology",
    "tumor-growth"
  ],
  "title": "Kosinsky2018 - Radiation and PD-(L)1 treatment combinations Lab",
  "models": [
    {
      "path": "models/core",
      "alias": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model"
    },
    {
      "path": "models/visualisation",
      "alias": "visualisation"
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model_state"
      ],
      "from": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.state"
    },
    {
      "to": [
        "visualisation.oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model_summary"
      ],
      "from": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.summary"
    },
    {
      "to": [
        "visualisation.oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model_species_labels"
      ],
      "from": "oncology_sbml_kosinsky2018_radiation_and_pd_l_1_treatment_comb_biomd0000000863_model.species_labels"
    }
  ],
  "package": "kosinsky2018-radiation-and-pd-l-1-treatment-combinations",
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 1
  },
  "version": "1.0.0",
  "description": "This is a quantitative systems pharmacology (QSP) model that describes key elements of the cancer immunity cycle and the tumor microenvironment, tumor growth, as well as dose-exposure-target modulatio. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.",
  "schema_version": "2.0"
}