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 mathematical model provides a platform for investigating the efficacy of dendritic cell vaccines during cancer treatment while accounting for obstacles such as immunosuppression and poor tra. It can be used to explore immune response dynamics and compare pathway-level behavior across conditions.
Manifest
{
"io": {
"inputs": [
{
"name": "initial_unresolved_tumor_observable_1",
"label": "Initial Unresolved Tumor Observable 1",
"units": "native source value",
"default": 60000,
"maps_to": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model.initial_unresolved_tumor_observable_1",
"description": "Initial Unresolved Tumor Observable 1. Sets the initial value of bundled SBML species `T`."
},
{
"name": "initial_unresolved_tumor_observable_2",
"label": "Initial Unresolved Tumor Observable 2",
"units": "native source value",
"default": 0,
"maps_to": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model.initial_unresolved_tumor_observable_2",
"description": "Initial Unresolved Tumor Observable 2. Sets the initial value of bundled SBML species `H`."
},
{
"name": "initial_unresolved_tumor_observable_3",
"label": "Initial Unresolved Tumor Observable 3",
"units": "native source value",
"default": 0,
"maps_to": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model.initial_unresolved_tumor_observable_3",
"description": "Initial Unresolved Tumor Observable 3. Sets the initial value of bundled SBML species `C`."
},
{
"name": "initial_unresolved_tumor_observable_4",
"label": "Initial Unresolved Tumor Observable 4",
"units": "native source value",
"default": 0,
"maps_to": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model.initial_unresolved_tumor_observable_4",
"description": "Initial Unresolved Tumor Observable 4. Sets the initial value of bundled SBML species `D`."
},
{
"name": "initial_unresolved_tumor_observable_5",
"label": "Initial Unresolved Tumor Observable 5",
"units": "native source value",
"default": 0,
"maps_to": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model.initial_unresolved_tumor_observable_5",
"description": "Initial Unresolved Tumor Observable 5. Sets the initial value of bundled SBML species `I`."
}
],
"outputs": [
{
"name": "unresolved_tumor_observable_1",
"maps_to": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model.unresolved_tumor_observable_1"
},
{
"name": "unresolved_tumor_observable_2",
"maps_to": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model.unresolved_tumor_observable_2"
},
{
"name": "unresolved_tumor_observable_3",
"maps_to": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model.unresolved_tumor_observable_3"
},
{
"name": "unresolved_tumor_observable_4",
"maps_to": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model.unresolved_tumor_observable_4"
},
{
"name": "unresolved_tumor_observable_5",
"maps_to": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model.unresolved_tumor_observable_5"
},
{
"name": "state",
"maps_to": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model.state"
},
{
"name": "summary",
"maps_to": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model.summary"
},
{
"name": "species_labels",
"maps_to": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model.species_labels"
}
]
},
"title": "Rangel-Reyes2017 - Dendritic Immunotherapy Improvement for an Optimal Control Murine Model Lab",
"models": [
{
"path": "models/core",
"alias": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model"
},
{
"path": "models/visualisation",
"alias": "visualisation"
}
],
"wiring": [
{
"to": [
"visualisation.immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model_state"
],
"from": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model.state"
},
{
"to": [
"visualisation.immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model_summary"
],
"from": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model.summary"
},
{
"to": [
"visualisation.immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model_species_labels"
],
"from": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model.species_labels"
}
],
"package": "rangel-reyes2017-dendritic-immunotherapy-improvement-fo-226ef4cc",
"runtime": {
"duration": 10,
"initial_inputs": {},
"communication_step": 1
},
"version": "1.0.0",
"description": "This is a mathematical model provides a platform for investigating the efficacy of dendritic cell vaccines during cancer treatment while accounting for obstacles such as immunosuppression and poor tra. It can be used to explore immune response dynamics and compare pathway-level behavior across conditions.",
"schema_version": "2.0"
}Runtime
Duration10
Comms Step1
Runs
Total0
Completed0
Failed0
Metadata
Packagerangel-reyes2017-dendritic-immunotherapy-improvement-fo-226ef4cc
Created2026-05-15
Updated2026-06-13
immunologysbmlbiomodels_ebifaithfulcuratedvisualisationother