Bianca2012 - Mathematical modeling of the immune system recognition to mammary carcinoma antigen Lab
About lab
Bianca2012 - Mathematical modeling of the immune system recognition to mammary carcinoma antigen Lab
Curated immunology lab using the bundled source model as the scientific source of truth.
What You'll See
This captured run documents the default Bianca2012 - Mathematical modeling of the immune system recognition to mammary carcinoma antigen configuration for 10.0 time units with a 1.0 communication step. Default inputs include Initial Unresolved Tumor Observable 1, Initial Unresolved Tumor Observable 2, Initial Unresolved Tumor Observable 3, and Initial Unresolved Tumor Observable 4. Reported outputs include unresolved_tumor_observable_1, unresolved_tumor_observable_2, unresolved_tumor_observable_3, and unresolved_tumor_observable_4. The screenshots below pair the run-interpretation table with Tumor-immune burden and Largest state excursions so the README shows both trajectories and the strongest state changes from the same dark-mode run.
Output Visualizations
The run-interpretation table summarizes the configured Bianca2012 - Mathematical modeling of the immune system recognition to mammary carcinoma antigen simulation and its final-state diagnostics.
The Tumor-immune burden time series follows the selected immune, pathogen, tumor, or signaling quantities across the simulated horizon.
The largest state excursions chart ranks the state variables that moved furthest during the run.
This model describes the humoral and cellular response of the immune system to a tumor associate antigen and the recognition process between B cells, T cells and antigen presenting cells. 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
Packagebianca2012-mathematical-modeling-of-the-immune-system-recognitio
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": 0,
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.initial_unresolved_tumor_observable_1",
"description": "Initial Unresolved Tumor Observable 1. Sets the initial value of bundled SBML species `VC`."
},
{
"name": "initial_unresolved_tumor_observable_2",
"label": "Initial Unresolved Tumor Observable 2",
"units": "native source value",
"default": 0,
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.initial_unresolved_tumor_observable_2",
"description": "Initial Unresolved Tumor Observable 2. Sets the initial value of bundled SBML species `TAA`."
},
{
"name": "initial_unresolved_tumor_observable_3",
"label": "Initial Unresolved Tumor Observable 3",
"units": "native source value",
"default": 0,
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.initial_unresolved_tumor_observable_3",
"description": "Initial Unresolved Tumor Observable 3. Sets the initial value of bundled SBML species `B`."
},
{
"name": "initial_unresolved_tumor_observable_4",
"label": "Initial Unresolved Tumor Observable 4",
"units": "native source value",
"default": 0,
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.initial_unresolved_tumor_observable_4",
"description": "Initial Unresolved Tumor Observable 4. Sets the initial value of bundled SBML species `TH`."
},
{
"name": "initial_interleukin_12",
"label": "Initial Interleukin 12",
"units": "native source value",
"default": 0,
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.initial_interleukin_12",
"description": "Initial Interleukin 12. Sets the initial value of bundled SBML species `IL12`."
},
{
"name": "taa_release_vc_rate",
"label": "Taa Release Vc Rate",
"units": "native source value",
"default": 3,
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.taa_release_vc_rate",
"description": "Taa Release Vc Rate. Sets bundled SBML parameter `gamma_21`."
},
{
"name": "taa_release_cc_rate",
"label": "Taa Release Cc Rate",
"units": "native source value",
"default": 3,
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.taa_release_cc_rate",
"description": "Taa Release Cc Rate. Sets bundled SBML parameter `gamma_28`."
},
{
"name": "b_death_rate",
"label": "B Death Rate",
"units": "native source value",
"default": 0.693147,
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.b_death_rate",
"description": "B Death Rate. Sets bundled SBML parameter `mu_3`."
},
{
"name": "th_death_rate",
"label": "Th Death Rate",
"units": "native source value",
"default": 0.693147,
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.th_death_rate",
"description": "Th Death Rate. Sets bundled SBML parameter `mu_4`."
},
{
"name": "interleukin_12_release_vc_rate",
"label": "Interleukin 12 Release Vc Rate",
"units": "native source value",
"default": 10,
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.interleukin_12_release_vc_rate",
"description": "Interleukin 12 Release Vc Rate. Sets bundled SBML parameter `gamma_51`."
}
],
"outputs": [
{
"name": "unresolved_tumor_observable_1",
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.unresolved_tumor_observable_1"
},
{
"name": "unresolved_tumor_observable_2",
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.unresolved_tumor_observable_2"
},
{
"name": "unresolved_tumor_observable_3",
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.unresolved_tumor_observable_3"
},
{
"name": "unresolved_tumor_observable_4",
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.unresolved_tumor_observable_4"
},
{
"name": "interleukin_12",
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.interleukin_12"
},
{
"name": "state",
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.state"
},
{
"name": "summary",
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.summary"
},
{
"name": "species_labels",
"maps_to": "immunology_sbml_bianca2012_mathematical_modeling_of_the_immune_s_model1907260002_model.species_labels"
}
]
},
"title": "Bianca2012 - Mathematical modeling of the immune system recognition to mammary carcinoma antigen Lab",
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"runtime": {
"duration": 10,
"initial_inputs": {},
"communication_step": 1
},
"description": "This model describes the humoral and cellular response of the immune system to a tumor associate antigen and the recognition process between B cells, T cells and antigen presenting cells. It can be used to explore immune response dynamics and compare pathway-level behavior across conditions.",
"schema_version": "2.0"
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