Melhem 2017 - Neutropenia Model Lab

{
  "io": {
    "inputs": [
      {
        "name": "initial_chm",
        "label": "Chm",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model.initial_chm",
        "description": "Initial Chm. Sets the initial value of bundled SBML symbol `Chm`."
      },
      {
        "name": "initial_crt",
        "label": "Crt",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model.initial_crt",
        "description": "Initial Crt. Sets the initial value of bundled SBML symbol `Crt`."
      }
    ],
    "outputs": [
      {
        "name": "chm",
        "maps_to": "oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model.chm",
        "description": "Chm observable. Maps to SBML symbol `Chm`."
      },
      {
        "name": "crt",
        "maps_to": "oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model.crt",
        "description": "Crt observable. Maps to SBML symbol `Crt`."
      },
      {
        "name": "dt",
        "maps_to": "oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model.dt",
        "description": "Dt observable. Maps to SBML symbol `Dt`."
      },
      {
        "name": "mt",
        "maps_to": "oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model.mt",
        "description": "Mt observable. Maps to SBML symbol `Mt`."
      },
      {
        "name": "pm1",
        "maps_to": "oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model.pm1",
        "description": "Pm1 observable. Maps to SBML symbol `Pm1`."
      },
      {
        "name": "pm2",
        "maps_to": "oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model.pm2",
        "description": "Pm2 observable. Maps to SBML symbol `Pm2`."
      },
      {
        "name": "state",
        "maps_to": "oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model.state",
        "description": "Full raw SBML observable record for reproducibility and downstream visualisation."
      },
      {
        "name": "summary",
        "maps_to": "oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model.summary",
        "description": "Change and peak summary across the simulated SBML observables."
      },
      {
        "name": "species_labels",
        "maps_to": "oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model.species_labels",
        "description": "Mapping from selected raw SBML observable symbols to display labels."
      }
    ]
  },
  "tags": [
    "biomodels_ebi",
    "chemotherapy",
    "curated",
    "drug-response",
    "faithful",
    "oncology",
    "pharmacology",
    "physiology",
    "sbml",
    "systemsbiology",
    "tumor-growth"
  ],
  "title": "Melhem 2017 - Neutropenia Model Lab",
  "models": [
    {
      "path": "models/core",
      "alias": "oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model"
    },
    {
      "path": "models/visualisation",
      "alias": "visualisation"
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model_state"
      ],
      "from": "oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model.state"
    },
    {
      "to": [
        "visualisation.oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model_summary"
      ],
      "from": "oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model.summary"
    },
    {
      "to": [
        "visualisation.oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model_species_labels"
      ],
      "from": "oncology_sbml_melhem_2017_neutropenia_model_model2211040001_model.species_labels"
    }
  ],
  "package": "melhem-2017-neutropenia",
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 1
  },
  "version": "1.0.0",
  "description": "The objective of the present study was to use pharmacokinetic–pharmacodynamic modelling to characterize the effects of chemotherapy on the granulopoietic system and to predict the absolute neutrophil. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.",
  "schema_version": "2.0"
}