vanEunen2013 - Network dynamics of fatty acid β-oxidation (time-course model) Lab

{
  "io": {
    "inputs": [
      {
        "name": "initial_lipid_metabolism_state_1_cytosolic",
        "units": "native SBML value",
        "default": 0.171,
        "maps_to": "metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model.initial_lipid_metabolism_state_1_cytosolic",
        "description": "Initial condition for lipid metabolism state 1 cytosolic. Maps to bundled SBML symbol `C16AcylCarCYT`. Applied before the Tellurium simulation starts; this does not change kinetic parameters or equations. Default from bundled SBML initial value."
      },
      {
        "name": "initial_lipid_metabolism_state_2_mitochondrial",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model.initial_lipid_metabolism_state_2_mitochondrial",
        "description": "Initial condition for lipid metabolism state 2 mitochondrial. Maps to bundled SBML symbol `C16AcylCarMAT`. Applied before the Tellurium simulation starts; this does not change kinetic parameters or equations. Default from bundled SBML initial value."
      },
      {
        "name": "initial_lipid_metabolism_state_3",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model.initial_lipid_metabolism_state_3",
        "description": "Initial condition for lipid metabolism state 3. Maps to bundled SBML symbol `C16AcylCoAMAT`. Applied before the Tellurium simulation starts; this does not change kinetic parameters or equations. Default from bundled SBML initial value."
      },
      {
        "name": "initial_lipid_metabolism_state_4",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model.initial_lipid_metabolism_state_4",
        "description": "Initial condition for lipid metabolism state 4. Maps to bundled SBML symbol `C16EnoylCoAMAT`. Applied before the Tellurium simulation starts; this does not change kinetic parameters or equations. Default from bundled SBML initial value."
      },
      {
        "name": "initial_lipid_metabolism_state_5",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model.initial_lipid_metabolism_state_5",
        "description": "Initial condition for lipid metabolism state 5. Maps to bundled SBML symbol `C16HydroxyacylCoAMAT`. Applied before the Tellurium simulation starts; this does not change kinetic parameters or equations. Default from bundled SBML initial value."
      }
    ],
    "outputs": [
      {
        "name": "lipid_metabolism_state_1_cytosolic",
        "maps_to": "metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model.lipid_metabolism_state_1_cytosolic"
      },
      {
        "name": "lipid_metabolism_state_2_mitochondrial",
        "maps_to": "metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model.lipid_metabolism_state_2_mitochondrial"
      },
      {
        "name": "lipid_metabolism_state_3",
        "maps_to": "metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model.lipid_metabolism_state_3"
      },
      {
        "name": "lipid_metabolism_state_4",
        "maps_to": "metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model.lipid_metabolism_state_4"
      },
      {
        "name": "lipid_metabolism_state_5",
        "maps_to": "metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model.lipid_metabolism_state_5"
      },
      {
        "name": "observable_values",
        "maps_to": "metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model.observable_values"
      },
      {
        "name": "run_summary",
        "maps_to": "metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model.run_summary"
      },
      {
        "name": "observable_labels",
        "maps_to": "metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model.observable_labels"
      }
    ]
  },
  "title": "vanEunen2013 - Network dynamics of fatty acid β-oxidation (time-course model) Lab",
  "models": [
    {
      "path": "models/core",
      "alias": "metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model",
      "parameters": {
        "model_path": "data/BIOMD0000000506.xml",
        "integration_step": 0.1
      }
    },
    {
      "path": "models/visualisation",
      "alias": "visualisation"
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model_observable_values"
      ],
      "from": "metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model.observable_values"
    },
    {
      "to": [
        "visualisation.metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model_run_summary"
      ],
      "from": "metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model.run_summary"
    },
    {
      "to": [
        "visualisation.metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model_observable_labels"
      ],
      "from": "metabolism_sbml_vaneunen2013_network_dynamics_of_fatty_acid_oxid_biomd0000000506_model.observable_labels"
    }
  ],
  "package": "vaneunen2013-network-dynamics-of-fatty-acid-oxidation-t-e8dfe603",
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 1
  },
  "version": "1.0.0",
  "description": "vanEunen2013 - Network dynamics of fatty acid β-oxidation (time-course model) Lipid metabolism plays an important role in the development of metabolic syndrome, a major risk factor for cardiovascular. It can be used to explore metabolic flux dynamics and compare pathway behavior across conditions.",
  "schema_version": "2.0"
}