About lab
This is a mathematical model of pancreatic cancer that includes descriptions of pancreatic cancer cells, pancreatic stellate cells, effector cells and tumor-promoting and tumor-suppressing cytokines t. 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
Packagehu2019-modeling-pancreatic-cancer-dynamics-with-immunotherapy-la
Created2026-05-16
Updated2026-05-16
biomodels_ebicurateddrug-responsefaithfulimmunologyimmunotherapymicroenvironmentoncologypharmacologyphysiologysbmlsystemsbiologytumor-growthvisualisation
Manifest
{
"io": {
"inputs": [
{
"name": "initial_z_effector_cells",
"label": "Z Effector Cells",
"units": "native SBML value",
"default": 190000000,
"maps_to": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.initial_z_effector_cells",
"description": "Initial Z Effector Cells. Sets the initial value of bundled SBML symbol `z_Effector_Cells`."
},
{
"name": "initial_x_pcc",
"label": "X PCC",
"units": "native SBML value",
"default": 1000000000,
"maps_to": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.initial_x_pcc",
"description": "Initial X PCC. Sets the initial value of bundled SBML symbol `x_PCC`."
},
{
"name": "initial_y_psc",
"label": "Y PSC",
"units": "native SBML value",
"default": 5600000,
"maps_to": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.initial_y_psc",
"description": "Initial Y PSC. Sets the initial value of bundled SBML symbol `y_PSC`."
},
{
"name": "initial_w_tpc",
"label": "W TPC",
"units": "native SBML value",
"default": 50000,
"maps_to": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.initial_w_tpc",
"description": "Initial W TPC. Sets the initial value of bundled SBML symbol `w_TPC`."
},
{
"name": "initial_v_tsc",
"label": "V TSC",
"units": "native SBML value",
"default": 9.4,
"maps_to": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.initial_v_tsc",
"description": "Initial V TSC. Sets the initial value of bundled SBML symbol `v_TSC`."
},
{
"name": "initial_r_si_rna",
"label": "R siRNA",
"units": "native SBML value",
"default": 1,
"maps_to": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.initial_r_si_rna",
"description": "Initial R siRNA. Sets the initial value of bundled SBML symbol `R_siRNA`."
}
],
"outputs": [
{
"name": "z_effector_cells",
"maps_to": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.z_effector_cells",
"description": "Z Effector Cells observable. Maps to SBML symbol `z_Effector_Cells`."
},
{
"name": "x_pcc",
"maps_to": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.x_pcc",
"description": "X PCC observable. Maps to SBML symbol `x_PCC`."
},
{
"name": "y_psc",
"maps_to": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.y_psc",
"description": "Y PSC observable. Maps to SBML symbol `y_PSC`."
},
{
"name": "w_tpc",
"maps_to": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.w_tpc",
"description": "W TPC observable. Maps to SBML symbol `w_TPC`."
},
{
"name": "v_tsc",
"maps_to": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.v_tsc",
"description": "V TSC observable. Maps to SBML symbol `v_TSC`."
},
{
"name": "r_si_rna",
"maps_to": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.r_si_rna",
"description": "R siRNA observable. Maps to SBML symbol `R_siRNA`."
},
{
"name": "state",
"maps_to": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.state",
"description": "Full raw SBML observable record for reproducibility and downstream visualisation."
},
{
"name": "summary",
"maps_to": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.summary",
"description": "Change and peak summary across the simulated SBML observables."
},
{
"name": "species_labels",
"maps_to": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.species_labels",
"description": "Mapping from selected raw SBML observable symbols to display labels."
}
]
},
"tags": [
"biomodels_ebi",
"curated",
"drug-response",
"faithful",
"immunology",
"immunotherapy",
"microenvironment",
"oncology",
"pharmacology",
"physiology",
"sbml",
"systemsbiology",
"tumor-growth"
],
"title": "Hu2019 - Modeling Pancreatic Cancer Dynamics with Immunotherapy Lab",
"models": [
{
"path": "owned/models/oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model",
"alias": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model",
"provenance": {
"owned_path": "owned/models/oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model"
}
},
{
"path": "owned/models/visualisation",
"alias": "visualisation",
"provenance": {
"owned_path": "owned/models/visualisation"
}
}
],
"wiring": [
{
"to": [
"visualisation.oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model_state"
],
"from": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.state"
},
{
"to": [
"visualisation.oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model_summary"
],
"from": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.summary"
},
{
"to": [
"visualisation.oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model_species_labels"
],
"from": "oncology_sbml_hu2019_modeling_pancreatic_cancer_dynamics_with_biomd0000000792_model.species_labels"
}
],
"runtime": {
"duration": 10,
"initial_inputs": {},
"communication_step": 1
},
"description": "This is a mathematical model of pancreatic cancer that includes descriptions of pancreatic cancer cells, pancreatic stellate cells, effector cells and tumor-promoting and tumor-suppressing cytokines t. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.",
"schema_version": "2.0"
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