Kamminga2017 - Metabolic model of Mycoplasma hyopneumoniae growth Lab

{
  "io": {
    "inputs": [
      {
        "name": "initial_metabolic_pathway_state_1",
        "units": "native SBML value",
        "default": 1,
        "maps_to": "metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model.initial_metabolic_pathway_state_1",
        "description": "Initial condition for metabolic pathway state 1. Maps to bundled SBML symbol `M_AMMONIUM_c`. Applied before the Tellurium simulation starts; this does not change kinetic parameters or equations. Default from bundled SBML initial value."
      },
      {
        "name": "initial_lipoyl_adenylate",
        "units": "native SBML value",
        "default": 1,
        "maps_to": "metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model.initial_lipoyl_adenylate",
        "description": "Initial condition for lipoyl adenylate. Maps to bundled SBML symbol `M_LIPOYLAMP_c`. Applied before the Tellurium simulation starts; this does not change kinetic parameters or equations. Default from bundled SBML initial value."
      },
      {
        "name": "initial_metabolic_pathway_state_3",
        "units": "native SBML value",
        "default": 1,
        "maps_to": "metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model.initial_metabolic_pathway_state_3",
        "description": "Initial condition for metabolic pathway state 3. Maps to bundled SBML symbol `M_ACET_c`. Applied before the Tellurium simulation starts; this does not change kinetic parameters or equations. Default from bundled SBML initial value."
      },
      {
        "name": "initial_l_ribulose_5_phosphate",
        "units": "native SBML value",
        "default": 1,
        "maps_to": "metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model.initial_l_ribulose_5_phosphate",
        "description": "Initial condition for l ribulose 5 phosphate. Maps to bundled SBML symbol `M_LRIBULOSE5P_c`. Applied before the Tellurium simulation starts; this does not change kinetic parameters or equations. Default from bundled SBML initial value."
      },
      {
        "name": "initial_l_valine",
        "units": "native SBML value",
        "default": 1,
        "maps_to": "metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model.initial_l_valine",
        "description": "Initial condition for l valine. Maps to bundled SBML symbol `M_VAL_c`. Applied before the Tellurium simulation starts; this does not change kinetic parameters or equations. Default from bundled SBML initial value."
      }
    ],
    "outputs": [
      {
        "name": "metabolic_pathway_state_1",
        "maps_to": "metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model.metabolic_pathway_state_1"
      },
      {
        "name": "lipoyl_adenylate",
        "maps_to": "metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model.lipoyl_adenylate"
      },
      {
        "name": "metabolic_pathway_state_3",
        "maps_to": "metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model.metabolic_pathway_state_3"
      },
      {
        "name": "l_ribulose_5_phosphate",
        "maps_to": "metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model.l_ribulose_5_phosphate"
      },
      {
        "name": "l_valine",
        "maps_to": "metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model.l_valine"
      },
      {
        "name": "observable_values",
        "maps_to": "metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model.observable_values"
      },
      {
        "name": "run_summary",
        "maps_to": "metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model.run_summary"
      },
      {
        "name": "observable_labels",
        "maps_to": "metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model.observable_labels"
      }
    ]
  },
  "title": "Kamminga2017 - Metabolic model of Mycoplasma hyopneumoniae growth Lab",
  "models": [
    {
      "path": "owned/models/metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model",
      "alias": "metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model",
      "parameters": {
        "model_path": "data/MODEL1704250001.xml",
        "integration_step": 0.1
      },
      "provenance": {
        "owned_path": "owned/models/metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model"
      }
    },
    {
      "path": "owned/models/visualisation",
      "alias": "visualisation",
      "provenance": {
        "owned_path": "owned/models/visualisation"
      }
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model_observable_values"
      ],
      "from": "metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model.observable_values"
    },
    {
      "to": [
        "visualisation.metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model_run_summary"
      ],
      "from": "metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model.run_summary"
    },
    {
      "to": [
        "visualisation.metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model_observable_labels"
      ],
      "from": "metabolism_sbml_kamminga2017_metabolic_model_of_mycoplasma_hyopn_model1704250001_model.observable_labels"
    }
  ],
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 1
  },
  "description": "Kamminga2017 - Metabolic model of Mycoplasma hyopneumoniae growth This model is described in the article: Metabolic modeling of energy balances in Mycoplasma hyopneumoniae shows that pyruvate addition. It can be used to explore metabolic flux dynamics and compare pathway behavior across conditions.",
  "schema_version": "2.0"
}