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Rangel-Reyes2017 - Dendritic Immunotherapy Improvement for an Optimal Control Murine Model Lab

About lab

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.

Runtime

Duration10
Comms Step1

Runs

Total0
Completed0
Failed0

Metadata

Packagerangel-reyes2017-dendritic-immunotherapy-improvement-for-an-opti
Created2026-05-15
Updated2026-05-15
immunologysbmlbiomodels_ebifaithfulcuratedvisualisation

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": "owned/models/immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model",
      "alias": "immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model",
      "provenance": {
        "owned_path": "owned/models/immunology_sbml_rangel_reyes2017_dendritic_immunotherapy_improve_model1909160002_model"
      }
    },
    {
      "path": "owned/models/visualisation",
      "alias": "visualisation",
      "provenance": {
        "owned_path": "owned/models/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"
    }
  ],
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 1
  },
  "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"
}

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