Nguyen2016 - Feedback regulation in cell signalling: Lessons for cancer therapeutics Lab

{
  "io": {
    "inputs": [
      {
        "name": "initial_pi3_k",
        "label": "PI3K",
        "units": "native SBML value",
        "default": 100,
        "maps_to": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.initial_pi3_k",
        "description": "Initial PI3K. Sets the initial value of bundled SBML symbol `PI3K`."
      },
      {
        "name": "initial_akt",
        "label": "AKT",
        "units": "native SBML value",
        "default": 100,
        "maps_to": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.initial_akt",
        "description": "Initial AKT. Sets the initial value of bundled SBML symbol `Akt`."
      },
      {
        "name": "initial_raf",
        "label": "Raf",
        "units": "native SBML value",
        "default": 100,
        "maps_to": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.initial_raf",
        "description": "Initial Raf. Sets the initial value of bundled SBML symbol `Raf`."
      },
      {
        "name": "initial_erk",
        "label": "ERK",
        "units": "native SBML value",
        "default": 899.999999999996,
        "maps_to": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.initial_erk",
        "description": "Initial ERK. Sets the initial value of bundled SBML symbol `ERK`."
      },
      {
        "name": "initial_aakt",
        "label": "AAkt",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.initial_aakt",
        "description": "Initial AAkt. Sets the initial value of bundled SBML symbol `aAkt`."
      },
      {
        "name": "initial_ras_gdp",
        "label": "RasGDP",
        "units": "native SBML value",
        "default": 100,
        "maps_to": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.initial_ras_gdp",
        "description": "Initial RasGDP. Sets the initial value of bundled SBML symbol `RasGDP`."
      }
    ],
    "outputs": [
      {
        "name": "pi3_k",
        "maps_to": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.pi3_k",
        "description": "PI3K observable. Maps to SBML symbol `PI3K`."
      },
      {
        "name": "akt",
        "maps_to": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.akt",
        "description": "AKT observable. Maps to SBML symbol `Akt`."
      },
      {
        "name": "raf",
        "maps_to": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.raf",
        "description": "Raf observable. Maps to SBML symbol `Raf`."
      },
      {
        "name": "erk",
        "maps_to": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.erk",
        "description": "ERK observable. Maps to SBML symbol `ERK`."
      },
      {
        "name": "aakt",
        "maps_to": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.aakt",
        "description": "AAkt observable. Maps to SBML symbol `aAkt`."
      },
      {
        "name": "ras_gdp",
        "maps_to": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.ras_gdp",
        "description": "RasGDP observable. Maps to SBML symbol `RasGDP`."
      },
      {
        "name": "state",
        "maps_to": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.state",
        "description": "Full raw SBML observable record for reproducibility and downstream visualisation."
      },
      {
        "name": "summary",
        "maps_to": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.summary",
        "description": "Change and peak summary across the simulated SBML observables."
      },
      {
        "name": "species_labels",
        "maps_to": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.species_labels",
        "description": "Mapping from selected raw SBML observable symbols to display labels."
      }
    ]
  },
  "tags": [
    "biomodels_ebi",
    "curated",
    "drug-response",
    "faithful",
    "oncology",
    "pharmacology",
    "physiology",
    "sbml",
    "signal-transduction",
    "signaling",
    "systemsbiology",
    "tumor-growth"
  ],
  "title": "Nguyen2016 - Feedback regulation in cell signalling: Lessons for cancer therapeutics Lab",
  "models": [
    {
      "path": "models/core",
      "alias": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model"
    },
    {
      "path": "models/visualisation",
      "alias": "visualisation"
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model_state"
      ],
      "from": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.state"
    },
    {
      "to": [
        "visualisation.oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model_summary"
      ],
      "from": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.summary"
    },
    {
      "to": [
        "visualisation.oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model_species_labels"
      ],
      "from": "oncology_sbml_nguyen2016_feedback_regulation_in_cell_signallin_biomd0000000651_model.species_labels"
    }
  ],
  "package": "nguyen2016-feedback-regulation-in-cell-signalling-lesso-3ee871b2",
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 1
  },
  "version": "1.0.0",
  "description": "Feedback regulation in cell signalling: Lessons for cancer therapeutics This model is described in the article: Feedback regulation in cell signalling: Lessons for cancer therapeutics. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.",
  "schema_version": "2.0"
}