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Mathematical multi-compartment model described by sets of coupledordinary differential equations (ODEs) for studying the IL6 and SMAD signaling in HepG2 human cancer cell lines. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.
Manifest
{
"io": {
"inputs": [
{
"name": "input_il6_source_parameter",
"label": "Input il6 source parameter",
"units": "native SBML value",
"default": 10,
"maps_to": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model.input_il6_source_parameter",
"description": "Input il6 source parameter. Maps to bundled SBML parameter `input_il6`."
},
{
"name": "il6_basal_source_parameter",
"label": "Il6 basal source parameter",
"units": "native SBML value",
"default": 0.00957067090828757,
"maps_to": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model.il6_basal_source_parameter",
"description": "Il6 basal source parameter. Maps to bundled SBML parameter `il6_basal`."
},
{
"name": "il6_act_source_parameter",
"label": "Il6 act source parameter",
"units": "native SBML value",
"default": 0.0226985677410744,
"maps_to": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model.il6_act_source_parameter",
"description": "Il6 act source parameter. Maps to bundled SBML parameter `il6_act`."
},
{
"name": "dcf_il6_basal_source_parameter",
"label": "Dcf il6 basal source parameter",
"units": "native SBML value",
"default": 0.835096746625705,
"maps_to": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model.dcf_il6_basal_source_parameter",
"description": "Dcf il6 basal source parameter. Maps to bundled SBML parameter `dcf_il6_basal`."
},
{
"name": "initial_unphosphorylated_stat3",
"label": "Unphosphorylated STAT3",
"units": "native SBML value",
"default": 1237.76392668883,
"maps_to": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model.initial_unphosphorylated_stat3",
"description": "Initial Unphosphorylated STAT3. Sets the initial value of bundled SBML symbol `STAT3`."
},
{
"name": "initial_active_cytoplasmic_stat3",
"label": "Active cytoplasmic STAT3",
"units": "native SBML value",
"default": 24.1373740148803,
"maps_to": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model.initial_active_cytoplasmic_stat3",
"description": "Initial Active cytoplasmic STAT3. Sets the initial value of bundled SBML symbol `cpSTAT3`."
}
],
"outputs": [
{
"name": "unphosphorylated_stat3",
"maps_to": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model.unphosphorylated_stat3",
"description": "Unphosphorylated STAT3 observable. Maps to SBML symbol `STAT3`."
},
{
"name": "active_cytoplasmic_stat3",
"maps_to": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model.active_cytoplasmic_stat3",
"description": "Active cytoplasmic STAT3 observable. Maps to SBML symbol `cpSTAT3`."
},
{
"name": "active_nuclear_stat3",
"maps_to": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model.active_nuclear_stat3",
"description": "Active nuclear STAT3 observable. Maps to SBML symbol `npSTAT3`."
},
{
"name": "total_bmp_receptor",
"maps_to": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model.total_bmp_receptor",
"description": "Total BMP receptor observable. Maps to SBML symbol `BMPR`."
},
{
"name": "cofactor_activated_by_bmp_receptor",
"maps_to": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model.cofactor_activated_by_bmp_receptor",
"description": "Cofactor activated by BMP receptor observable. Maps to SBML symbol `BMPR_delay1`."
},
{
"name": "cofactor_activated_by_bmp_receptor_2",
"maps_to": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model.cofactor_activated_by_bmp_receptor_2",
"description": "Cofactor activated by BMP receptor 2 observable. Maps to SBML symbol `BMPR_delay2`."
},
{
"name": "state",
"maps_to": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model.state",
"description": "Full raw SBML observable record for reproducibility and downstream visualisation."
},
{
"name": "summary",
"maps_to": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model.summary",
"description": "Change and peak summary across the simulated SBML observables."
},
{
"name": "species_labels",
"maps_to": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_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": "Zeilfelder2025 - Model for human liver cancer cell line HepG2 Lab",
"models": [
{
"path": "models/core",
"alias": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model"
},
{
"path": "models/visualisation",
"alias": "visualisation"
}
],
"wiring": [
{
"to": [
"visualisation.oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model_state"
],
"from": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model.state"
},
{
"to": [
"visualisation.oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model_summary"
],
"from": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model.summary"
},
{
"to": [
"visualisation.oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model_species_labels"
],
"from": "oncology_sbml_zeilfelder2025_model_for_human_liver_cancer_cell_model2503270001_model.species_labels"
}
],
"package": "zeilfelder2025-for-human-liver-cancer-cell-line-hepg2",
"runtime": {
"duration": 10,
"initial_inputs": {},
"communication_step": 1
},
"version": "1.0.0",
"description": "Mathematical multi-compartment model described by sets of coupledordinary differential equations (ODEs) for studying the IL6 and SMAD signaling in HepG2 human cancer cell lines. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.",
"schema_version": "2.0"
}Runtime
Duration10
Comms Step1
Runs
Total0
Completed0
Failed0
Metadata
Packagezeilfelder2025-for-human-liver-cancer-cell-line-hepg2
Created2026-05-16
Updated2026-06-13
biomodels_ebicurateddrug-responsefaithfuloncologypharmacologyphysiologysbmlsignal-transductionsignalingsystemsbiologytumor-growthvisualisationother