Rouhimoghadam2018 - GPR30/PI3K/MAPK/STAT signaling pathway in normal and cancer cells Lab

{
  "io": {
    "inputs": [
      {
        "name": "initial_pegf_egfr2_p_shc_grb2_sos_ras_gdp",
        "label": "PEGF EGFR2 pShc Grb2 SOS Ras GDP",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model.initial_pegf_egfr2_p_shc_grb2_sos_ras_gdp",
        "description": "Initial PEGF EGFR2 pShc Grb2 SOS Ras GDP. Sets the initial value of bundled SBML symbol `mwf40d6176_abfc_4a30_886f_83a19fcffc48`."
      },
      {
        "name": "initial_pegf_egfr2_grb2_sos_ras_gdp",
        "label": "PEGF EGFR2 Grb2 SOS Ras GDP",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model.initial_pegf_egfr2_grb2_sos_ras_gdp",
        "description": "Initial PEGF EGFR2 Grb2 SOS Ras GDP. Sets the initial value of bundled SBML symbol `mw28464aad_8013_4a23_ae09_a406954859a6`."
      },
      {
        "name": "initial_pegf_egfr2_ras_gap",
        "label": "PEGF EGFR2 Ras GAP",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model.initial_pegf_egfr2_ras_gap",
        "description": "Initial PEGF EGFR2 Ras GAP. Sets the initial value of bundled SBML symbol `mwd39388fd_4f85_4d1c_b2a3_37857c595a2d`."
      },
      {
        "name": "initial_pegf_egfr2_ras_gap_ras_gtp",
        "label": "PEGF EGFR2 Ras GAP Ras GTP",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model.initial_pegf_egfr2_ras_gap_ras_gtp",
        "description": "Initial PEGF EGFR2 Ras GAP Ras GTP. Sets the initial value of bundled SBML symbol `mwd7bf31ba_b05c_4c45_bb2f_6a2468a2a507`."
      },
      {
        "name": "initial_pegf_egfr2_ras_gap_shp2",
        "label": "PEGF EGFR2 Ras GAP SHP2",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model.initial_pegf_egfr2_ras_gap_shp2",
        "description": "Initial PEGF EGFR2 Ras GAP SHP2. Sets the initial value of bundled SBML symbol `mwbf5cb039_b830_4282_aa22_a3dda6272ec1`."
      },
      {
        "name": "initial_pp_erk_p_egf_egfr2_p_shc_grb2_sos",
        "label": "PpERK pEGF EGFR2 pShc Grb2 SOS",
        "units": "native SBML value",
        "default": 0,
        "maps_to": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model.initial_pp_erk_p_egf_egfr2_p_shc_grb2_sos",
        "description": "Initial PpERK pEGF EGFR2 pShc Grb2 SOS. Sets the initial value of bundled SBML symbol `mw5babe3d5_a9af_4dfd_ac01_35474ef64af2`."
      }
    ],
    "outputs": [
      {
        "name": "pegf_egfr2_p_shc_grb2_sos_ras_gdp",
        "maps_to": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model.pegf_egfr2_p_shc_grb2_sos_ras_gdp",
        "description": "PEGF EGFR2 pShc Grb2 SOS Ras GDP observable. Maps to SBML symbol `mwf40d6176_abfc_4a30_886f_83a19fcffc48`."
      },
      {
        "name": "pegf_egfr2_grb2_sos_ras_gdp",
        "maps_to": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model.pegf_egfr2_grb2_sos_ras_gdp",
        "description": "PEGF EGFR2 Grb2 SOS Ras GDP observable. Maps to SBML symbol `mw28464aad_8013_4a23_ae09_a406954859a6`."
      },
      {
        "name": "pegf_egfr2_ras_gap",
        "maps_to": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model.pegf_egfr2_ras_gap",
        "description": "PEGF EGFR2 Ras GAP observable. Maps to SBML symbol `mwd39388fd_4f85_4d1c_b2a3_37857c595a2d`."
      },
      {
        "name": "pegf_egfr2_ras_gap_ras_gtp",
        "maps_to": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model.pegf_egfr2_ras_gap_ras_gtp",
        "description": "PEGF EGFR2 Ras GAP Ras GTP observable. Maps to SBML symbol `mwd7bf31ba_b05c_4c45_bb2f_6a2468a2a507`."
      },
      {
        "name": "pegf_egfr2_ras_gap_shp2",
        "maps_to": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model.pegf_egfr2_ras_gap_shp2",
        "description": "PEGF EGFR2 Ras GAP SHP2 observable. Maps to SBML symbol `mwbf5cb039_b830_4282_aa22_a3dda6272ec1`."
      },
      {
        "name": "pp_erk_p_egf_egfr2_p_shc_grb2_sos",
        "maps_to": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model.pp_erk_p_egf_egfr2_p_shc_grb2_sos",
        "description": "PpERK pEGF EGFR2 pShc Grb2 SOS observable. Maps to SBML symbol `mw5babe3d5_a9af_4dfd_ac01_35474ef64af2`."
      },
      {
        "name": "state",
        "maps_to": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model.state",
        "description": "Full raw SBML observable record for reproducibility and downstream visualisation."
      },
      {
        "name": "summary",
        "maps_to": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model.summary",
        "description": "Change and peak summary across the simulated SBML observables."
      },
      {
        "name": "species_labels",
        "maps_to": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_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": "Rouhimoghadam2018 - GPR30/PI3K/MAPK/STAT signaling pathway in normal and cancer cells Lab",
  "models": [
    {
      "path": "models/core",
      "alias": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model"
    },
    {
      "path": "models/visualisation",
      "alias": "visualisation"
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model_state"
      ],
      "from": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model.state"
    },
    {
      "to": [
        "visualisation.oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model_summary"
      ],
      "from": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model.summary"
    },
    {
      "to": [
        "visualisation.oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model_species_labels"
      ],
      "from": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model1807040001_model.species_labels"
    }
  ],
  "package": "rouhimoghadam2018-gpr30-pi3k-mapk-stat-signaling-pathwa-518f2c36",
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 1
  },
  "version": "1.0.3",
  "description": "In the current study, we aimed to simulate the GPR30/PI3K/MAPK/STAT signaling pathway in normal and cancer cells by the use of ordinary differential equation modeling. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.",
  "schema_version": "2.0"
}