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

About lab

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

This Biosimulant lab wraps Rouhimoghadam2018 - GPR30/PI3K/MAPK/STAT signaling pathway in normal and cancer cells as a runnable oncology model with a companion visualization module. 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 treatment-response dynamics and compare scenario outcomes across configurations.

What You'll See

The lab asks: Which signaling states carry the dominant response in the bundled cancer pathway model? It runs for 10.0 time units with a communication step of 1.0. The run uses the model defaults declared by the curated SBML wrapper. The generated visualizations focus on PEGF EGFR2 pShc Grb2 SOS Ras GDP, PEGF EGFR2 Grb2 SOS Ras GDP, PEGF EGFR2 Ras GAP, PEGF EGFR2 Ras GAP Ras GTP, PEGF EGFR2 Ras GAP SHP2, and PpERK pEGF EGFR2 pShc Grb2 SOS, combining trajectory, endpoint-comparison, and summary-table views from one completed dark-mode run.

In this captured run, mw618aff5b_59d6_4174_ab14_30355d0f2dd7 carried the largest peak and mw9dcaa655_a755_426e_a3fa_1ad7c3c45575 moved by 0.2174 native units across 10.0 simulation windows.

Output Visualizations

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

Summary table for Rouhimoghadam2018 - GPR30/PI3K/MAPK/STAT signaling pathway in normal and cancer cells, reporting the scientific question, observed answer (largest change: mw9dcaa655_a755_426e_a3fa_1ad7c3c45575 at 0.2174 native units), evidence (peak observable: mw618aff5b_59d6_4174_ab14_30355d0f2dd7), dominant module, and caveat.

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

Trajectories of PEGF EGFR2 pShc Grb2 SOS Ras GDP, PEGF EGFR2 Grb2 SOS Ras GDP, PEGF EGFR2 Ras GAP, PEGF EGFR2 Ras GAP Ras GTP, PEGF EGFR2 Ras GAP SHP2, and PpERK pEGF EGFR2 pShc Grb2 SOS across the 10.0 simulation. In this run PEGF EGFR2 pShc Grb2 SOS Ras GDP climbed from 0 to 0.0011 — the largest movements among the focused observables.

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

Endpoint ranking of the focused observables. Top 3 by final value: PEGF EGFR2 pShc Grb2 SOS Ras GDP = 0.0011, PEGF EGFR2 Grb2 SOS Ras GDP = 0.000158, PEGF EGFR2 Ras GAP = 2.76e-07, with 3 more observables below.

Model Context

  • Core model: models/core
  • Visualization model: models/visualisation
  • Standard: other
  • Upstream source: biomodels_ebi:MODEL2002250001
  • License: CC0
  • Visual scope: Cancer signaling pathway activity and dominant source states
  • Caveat: Values are native SBML quantities; the cleanup does not reinterpret source equations.

Inputs

InputMaps ToDefaultNotes
PEGF EGFR2 pShc Grb2 SOS Ras GDPoncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.initial_pegf_egfr2_pshc_grb2_sos_ras_gdp0.0Initial PEGF EGFR2 pShc Grb2 SOS Ras GDP. Sets the initial value of bundled SBML symbol mwf40d6176_abfc_4a30_886f_83a19fcffc48.
PEGF EGFR2 Grb2 SOS Ras GDPoncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.initial_pegf_egfr2_grb2_sos_ras_gdp0.0Initial PEGF EGFR2 Grb2 SOS Ras GDP. Sets the initial value of bundled SBML symbol mw28464aad_8013_4a23_ae09_a406954859a6.
PEGF EGFR2 Ras GAPoncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.initial_pegf_egfr2_ras_gap0.0Initial PEGF EGFR2 Ras GAP. Sets the initial value of bundled SBML symbol mwd39388fd_4f85_4d1c_b2a3_37857c595a2d.
PEGF EGFR2 Ras GAP Ras GTPoncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.initial_pegf_egfr2_ras_gap_ras_gtp0.0Initial PEGF EGFR2 Ras GAP Ras GTP. Sets the initial value of bundled SBML symbol mwd7bf31ba_b05c_4c45_bb2f_6a2468a2a507.
PEGF EGFR2 Ras GAP SHP2oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.initial_pegf_egfr2_ras_gap_shp20.0Initial PEGF EGFR2 Ras GAP SHP2. Sets the initial value of bundled SBML symbol mwbf5cb039_b830_4282_aa22_a3dda6272ec1.
PpERK pEGF EGFR2 pShc Grb2 SOSoncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.initial_pperk_pegf_egfr2_pshc_grb2_sos0.0Initial PpERK pEGF EGFR2 pShc Grb2 SOS. Sets the initial value of bundled SBML symbol mw5babe3d5_a9af_4dfd_ac01_35474ef64af2.

Outputs

OutputMaps ToRole
pegf_egfr2_pshc_grb2_sos_ras_gdponcology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.pegf_egfr2_pshc_grb2_sos_ras_gdpPEGF EGFR2 pShc Grb2 SOS Ras GDP observable.
pegf_egfr2_grb2_sos_ras_gdponcology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.pegf_egfr2_grb2_sos_ras_gdpPEGF EGFR2 Grb2 SOS Ras GDP observable.
pegf_egfr2_ras_gaponcology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.pegf_egfr2_ras_gapPEGF EGFR2 Ras GAP observable.
pegf_egfr2_ras_gap_ras_gtponcology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.pegf_egfr2_ras_gap_ras_gtpPEGF EGFR2 Ras GAP Ras GTP observable.
pegf_egfr2_ras_gap_shp2oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.pegf_egfr2_ras_gap_shp2PEGF EGFR2 Ras GAP SHP2 observable.
pperk_pegf_egfr2_pshc_grb2_sosoncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.pperk_pegf_egfr2_pshc_grb2_sosPpERK pEGF EGFR2 pShc Grb2 SOS observable.
stateoncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.stateFull raw SBML observable record for reproducibility and downstream visualisation.
summaryoncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.summaryChange and peak summary across the simulated SBML observables.
species_labelsoncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.species_labelsMapping from selected raw SBML observable symbols to display labels.

Runtime

  • Duration: 10.0
  • Communication step: 1.0

Running Locally

biosimulant labs serve .

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.

Runtime

Duration10
Comms Step1

Runs

Total0
Completed0
Failed0

Metadata

Packagerouhimoghadam2018-gpr30-pi3k-mapk-stat-signaling-pathway-in-norm
Created2026-05-16
Updated2026-05-16
biomodels_ebicurateddrug-responsefaithfuloncologypharmacologyphysiologysbmlsignal-transductionsignalingsystemsbiologytumor-growthvisualisation

Manifest

{
  "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_model2002250001_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_model2002250001_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_model2002250001_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_model2002250001_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_model2002250001_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_model2002250001_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_model2002250001_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_model2002250001_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_model2002250001_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_model2002250001_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_model2002250001_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_model2002250001_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_model2002250001_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_model2002250001_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_model2002250001_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": "owned/models/oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model",
      "alias": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model",
      "provenance": {
        "owned_path": "owned/models/oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model"
      }
    },
    {
      "path": "owned/models/visualisation",
      "alias": "visualisation",
      "provenance": {
        "owned_path": "owned/models/visualisation"
      }
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model_state"
      ],
      "from": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.state"
    },
    {
      "to": [
        "visualisation.oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model_summary"
      ],
      "from": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.summary"
    },
    {
      "to": [
        "visualisation.oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model_species_labels"
      ],
      "from": "oncology_sbml_rouhimoghadam2018_gpr30_pi3k_mapk_stat_signaling_model2002250001_model.species_labels"
    }
  ],
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 1
  },
  "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"
}

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