Tang2019 - Pharmacology modelling of AURKB and ZAK interaction in TNBC Lab

{
  "io": {
    "inputs": [
      {
        "name": "kd_tgfbr1_source_parameter",
        "label": "Kd tgfbr1 source parameter",
        "units": "native SBML value",
        "default": 0.45,
        "maps_to": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model.kd_tgfbr1_source_parameter",
        "description": "Kd tgfbr1 source parameter. Maps to bundled SBML parameter `kd_tgfbr1`."
      },
      {
        "name": "k_tgfbr1_source_parameter",
        "label": "K tgfbr1 source parameter",
        "units": "native SBML value",
        "default": 0.5,
        "maps_to": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model.k_tgfbr1_source_parameter",
        "description": "K tgfbr1 source parameter. Maps to bundled SBML parameter `k_tgfbr1`."
      },
      {
        "name": "initial_atm",
        "label": "ATM",
        "units": "native SBML value",
        "default": 1,
        "maps_to": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model.initial_atm",
        "description": "Initial ATM. Sets the initial value of bundled SBML symbol `ATM`."
      },
      {
        "name": "initial_src",
        "label": "SRC",
        "units": "native SBML value",
        "default": 1,
        "maps_to": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model.initial_src",
        "description": "Initial SRC. Sets the initial value of bundled SBML symbol `SRC`."
      },
      {
        "name": "initial_bad",
        "label": "BAD",
        "units": "native SBML value",
        "default": 1,
        "maps_to": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model.initial_bad",
        "description": "Initial BAD. Sets the initial value of bundled SBML symbol `BAD`."
      },
      {
        "name": "initial_pten",
        "label": "PTEN",
        "units": "native SBML value",
        "default": 1,
        "maps_to": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model.initial_pten",
        "description": "Initial PTEN. Sets the initial value of bundled SBML symbol `PTEN`."
      }
    ],
    "outputs": [
      {
        "name": "atm",
        "maps_to": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model.atm",
        "description": "ATM observable. Maps to SBML symbol `ATM`."
      },
      {
        "name": "src",
        "maps_to": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model.src",
        "description": "SRC observable. Maps to SBML symbol `SRC`."
      },
      {
        "name": "bad",
        "maps_to": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model.bad",
        "description": "BAD observable. Maps to SBML symbol `BAD`."
      },
      {
        "name": "pten",
        "maps_to": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model.pten",
        "description": "PTEN observable. Maps to SBML symbol `PTEN`."
      },
      {
        "name": "shc1",
        "maps_to": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model.shc1",
        "description": "SHC1 observable. Maps to SBML symbol `SHC1`."
      },
      {
        "name": "pkn1",
        "maps_to": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model.pkn1",
        "description": "PKN1 observable. Maps to SBML symbol `PKN1`."
      },
      {
        "name": "state",
        "maps_to": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model.state",
        "description": "Full raw SBML observable record for reproducibility and downstream visualisation."
      },
      {
        "name": "summary",
        "maps_to": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model.summary",
        "description": "Change and peak summary across the simulated SBML observables."
      },
      {
        "name": "species_labels",
        "maps_to": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_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",
    "systemsbiology",
    "tumor-growth"
  ],
  "title": "Tang2019 - Pharmacology modelling of AURKB and ZAK interaction in TNBC Lab",
  "models": [
    {
      "path": "models/core",
      "alias": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model"
    },
    {
      "path": "models/visualisation",
      "alias": "visualisation"
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model_state"
      ],
      "from": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model.state"
    },
    {
      "to": [
        "visualisation.oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model_summary"
      ],
      "from": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model.summary"
    },
    {
      "to": [
        "visualisation.oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model_species_labels"
      ],
      "from": "oncology_sbml_tang2019_pharmacology_modelling_of_aurkb_and_zak_biomd0000000940_model.species_labels"
    }
  ],
  "package": "tang2019-pharmacology-modelling-of-aurkb-and-zak-intera-505370bb",
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 1
  },
  "version": "1.0.0",
  "description": "Aurora Kinase B and ZAK interaction model Equivalent of the stochastic model used in 'Network pharmacology model predicts combined Aurora B and ZAK inhibition in MDA-MB-231 breast cancer cells' by Tan. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.",
  "schema_version": "2.0"
}