Nayak2015 Blood Coagulation Network Predicting The Effects Of Variou Lab

{
  "io": {
    "inputs": [
      {
        "name": "initial_m_i_ia_atiii",
        "label": "Initial M I Ia Atiii",
        "maps_to": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.initial_m_i_ia_atiii",
        "description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `mIIa_ATIII`."
      },
      {
        "name": "initial_m_i_ia",
        "label": "Initial M I Ia",
        "maps_to": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.initial_m_i_ia",
        "description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `mIIa`."
      },
      {
        "name": "initial_xa_va_ii",
        "label": "Initial Xa Va Ii",
        "maps_to": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.initial_xa_va_ii",
        "description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `Xa_Va_II`."
      },
      {
        "name": "initial_xa_va",
        "label": "Initial Xa Va",
        "maps_to": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.initial_xa_va",
        "description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `Xa_Va`."
      },
      {
        "name": "initial_xa_tfpi",
        "label": "Initial Xa Tfpi",
        "maps_to": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.initial_xa_tfpi",
        "description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `Xa_TFPI`."
      },
      {
        "name": "initial_xa_atiii",
        "label": "Initial Xa Atiii",
        "maps_to": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.initial_xa_atiii",
        "description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `Xa_ATIII`."
      }
    ],
    "outputs": [
      {
        "name": "state",
        "maps_to": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.state"
      },
      {
        "name": "summary",
        "maps_to": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.summary"
      },
      {
        "name": "species_labels",
        "maps_to": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.species_labels"
      },
      {
        "name": "m_i_ia_atiii",
        "maps_to": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.m_i_ia_atiii"
      },
      {
        "name": "m_i_ia",
        "maps_to": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.m_i_ia"
      },
      {
        "name": "xa_va_ii",
        "maps_to": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.xa_va_ii"
      },
      {
        "name": "xa_va",
        "maps_to": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.xa_va"
      },
      {
        "name": "xa_tfpi",
        "maps_to": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.xa_tfpi"
      },
      {
        "name": "xa_atiii",
        "maps_to": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.xa_atiii"
      }
    ]
  },
  "tags": [
    "generegulation",
    "systemsbiology",
    "sbml",
    "biomodels_ebi",
    "faithful",
    "curated"
  ],
  "title": "Nayak2015 Blood Coagulation Network Predicting The Effects Of Variou Lab",
  "models": [
    {
      "path": "models/core",
      "alias": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model"
    },
    {
      "path": "models/visualisation",
      "alias": "visualisation"
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model_state"
      ],
      "from": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.state"
    },
    {
      "to": [
        "visualisation.systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model_summary"
      ],
      "from": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.summary"
    },
    {
      "to": [
        "visualisation.systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model_species_labels"
      ],
      "from": "systemsbiology_sbml_nayak2015_blood_coagulation_network_predicting_t_biomd0000000611_model.species_labels"
    }
  ],
  "package": "nayak2015-blood-coagulation-network-predicting-the-effe-113107ef",
  "runtime": {
    "duration": 1,
    "initial_inputs": {},
    "communication_step": 0.1
  },
  "version": "1.0.0",
  "description": "Nayak2015 - Blood Coagulation Network - Predicting the Effects of Various Therapies on Biomarkers Note: The SBML model is generated from SimBiology. The SimBiology (.sbproj) file is available for down.",
  "schema_version": "2.0"
}