Shariatpanahi2018 - Mathematical modeling of tumor-induced immunosuppression by myeloid-derived suppressor cells Lab
About lab
One published Lab
Build with this Lab. Run it anywhere.
Use the same immutable release locally or through managed cloud execution, with its exact version and provenance preserved.
Preparing exact examples…
This is a ODE-based mathematical model featuring equations describing the dynamics of tumor cells, cytotoxic T cells, natural killer cells, and myeloid-derived suppressor cells (MDSCs) that together d. It can be used to explore tumor-related dynamics and compare treatment-response behavior across conditions.
Manifest
{
"io": {
"inputs": [
{
"name": "initial_tumor_cells",
"label": "Tumor Cells",
"units": "native SBML value",
"default": 1,
"maps_to": "oncology_sbml_shariatpanahi2018_mathematical_modeling_of_tumor_model1909090003_model.initial_tumor_cells",
"description": "Initial Tumor Cells. Sets the initial value of bundled SBML symbol `T`."
},
{
"name": "initial_myeloid_derived_suppressor_cells",
"label": "Myeloid-Derived Suppressor Cells",
"units": "native SBML value",
"default": 5000000,
"maps_to": "oncology_sbml_shariatpanahi2018_mathematical_modeling_of_tumor_model1909090003_model.initial_myeloid_derived_suppressor_cells",
"description": "Initial Myeloid-Derived Suppressor Cells. Sets the initial value of bundled SBML symbol `M`."
}
],
"outputs": [
{
"name": "tumor_cells",
"maps_to": "oncology_sbml_shariatpanahi2018_mathematical_modeling_of_tumor_model1909090003_model.tumor_cells",
"description": "Tumor Cells observable. Maps to SBML symbol `T`."
},
{
"name": "myeloid_derived_suppressor_cells",
"maps_to": "oncology_sbml_shariatpanahi2018_mathematical_modeling_of_tumor_model1909090003_model.myeloid_derived_suppressor_cells",
"description": "Myeloid-Derived Suppressor Cells observable. Maps to SBML symbol `M`."
},
{
"name": "state",
"maps_to": "oncology_sbml_shariatpanahi2018_mathematical_modeling_of_tumor_model1909090003_model.state",
"description": "Full raw SBML observable record for reproducibility and downstream visualisation."
},
{
"name": "summary",
"maps_to": "oncology_sbml_shariatpanahi2018_mathematical_modeling_of_tumor_model1909090003_model.summary",
"description": "Change and peak summary across the simulated SBML observables."
},
{
"name": "species_labels",
"maps_to": "oncology_sbml_shariatpanahi2018_mathematical_modeling_of_tumor_model1909090003_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": "Shariatpanahi2018 - Mathematical modeling of tumor-induced immunosuppression by myeloid-derived suppressor cells Lab",
"models": [
{
"path": "models/core",
"alias": "oncology_sbml_shariatpanahi2018_mathematical_modeling_of_tumor_model1909090003_model"
},
{
"path": "models/visualisation",
"alias": "visualisation"
}
],
"wiring": [
{
"to": [
"visualisation.oncology_sbml_shariatpanahi2018_mathematical_modeling_of_tumor_model1909090003_model_state"
],
"from": "oncology_sbml_shariatpanahi2018_mathematical_modeling_of_tumor_model1909090003_model.state"
},
{
"to": [
"visualisation.oncology_sbml_shariatpanahi2018_mathematical_modeling_of_tumor_model1909090003_model_summary"
],
"from": "oncology_sbml_shariatpanahi2018_mathematical_modeling_of_tumor_model1909090003_model.summary"
},
{
"to": [
"visualisation.oncology_sbml_shariatpanahi2018_mathematical_modeling_of_tumor_model1909090003_model_species_labels"
],
"from": "oncology_sbml_shariatpanahi2018_mathematical_modeling_of_tumor_model1909090003_model.species_labels"
}
],
"package": "shariatpanahi2018-mathematical-modeling-of-tumor-induce-905cf15f",
"runtime": {
"duration": 10,
"initial_inputs": {},
"communication_step": 1
},
"version": "1.0.0",
"description": "This is a ODE-based mathematical model featuring equations describing the dynamics of tumor cells, cytotoxic T cells, natural killer cells, and myeloid-derived suppressor cells (MDSCs) that together d. 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
Packageshariatpanahi2018-mathematical-modeling-of-tumor-induce-905cf15f
Created2026-05-16
Updated2026-06-13
biomodels_ebicurateddrug-responsefaithfulimmunologyimmunotherapymicroenvironmentoncologypharmacologyphysiologysbmlsystemsbiologytumor-growthvisualisationother