About lab
Mathematical modeling of cancer-immune system, considering the role of antibodies.Ghosh S1, Banerjee S2.Author information1 Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee,. 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
Packagesumana2018-mathematical-modeling-of-cancer-immune-system-conside
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": 90000,
"maps_to": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model.initial_unresolved_tumor_observable_1",
"description": "Initial Unresolved Tumor Observable 1. Sets the initial value of bundled SBML species `B`."
},
{
"name": "initial_unresolved_tumor_observable_2",
"label": "Initial Unresolved Tumor Observable 2",
"units": "native source value",
"default": 1000000,
"maps_to": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model.initial_unresolved_tumor_observable_2",
"description": "Initial Unresolved Tumor Observable 2. Sets the initial value of bundled SBML species `P`."
},
{
"name": "initial_unresolved_tumor_observable_3",
"label": "Initial Unresolved Tumor Observable 3",
"units": "native source value",
"default": 150000000,
"maps_to": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model.initial_unresolved_tumor_observable_3",
"description": "Initial Unresolved Tumor Observable 3. Sets the initial value of bundled SBML species `A`."
},
{
"name": "initial_unresolved_tumor_observable_4",
"label": "Initial Unresolved Tumor Observable 4",
"units": "native source value",
"default": 100000000,
"maps_to": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model.initial_unresolved_tumor_observable_4",
"description": "Initial Unresolved Tumor Observable 4. Sets the initial value of bundled SBML species `T`."
},
{
"name": "production_of_antibody_against_tumor_rate",
"label": "Production Of Antibody Against Tumor Rate",
"units": "native source value",
"default": 100,
"maps_to": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model.production_of_antibody_against_tumor_rate",
"description": "Production Of Antibody Against Tumor Rate. Sets bundled SBML parameter `r_1`."
},
{
"name": "production_of_antibody_against_tumor_rate_2",
"label": "Production Of Antibody Against Tumor Rate 2",
"units": "native source value",
"default": 1000,
"maps_to": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model.production_of_antibody_against_tumor_rate_2",
"description": "Production Of Antibody Against Tumor Rate 2. Sets bundled SBML parameter `r_2`."
},
{
"name": "removal_of_antibody_from_the_system_rate",
"label": "Removal Of Antibody From The System Rate",
"units": "native source value",
"default": 6.884,
"maps_to": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model.removal_of_antibody_from_the_system_rate",
"description": "Removal Of Antibody From The System Rate. Sets bundled SBML parameter `mu_2`."
}
],
"outputs": [
{
"name": "unresolved_tumor_observable_1",
"maps_to": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model.unresolved_tumor_observable_1"
},
{
"name": "unresolved_tumor_observable_2",
"maps_to": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model.unresolved_tumor_observable_2"
},
{
"name": "unresolved_tumor_observable_3",
"maps_to": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model.unresolved_tumor_observable_3"
},
{
"name": "unresolved_tumor_observable_4",
"maps_to": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model.unresolved_tumor_observable_4"
},
{
"name": "state",
"maps_to": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model.state"
},
{
"name": "summary",
"maps_to": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model.summary"
},
{
"name": "species_labels",
"maps_to": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model.species_labels"
}
]
},
"title": "Sumana2018 - Mathematical modeling of cancer-immune system, considering the role of antibodies. Lab",
"models": [
{
"path": "owned/models/immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model",
"alias": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model",
"provenance": {
"owned_path": "owned/models/immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model"
}
},
{
"path": "owned/models/visualisation",
"alias": "visualisation",
"provenance": {
"owned_path": "owned/models/visualisation"
}
}
],
"wiring": [
{
"to": [
"visualisation.immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model_state"
],
"from": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model.state"
},
{
"to": [
"visualisation.immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model_summary"
],
"from": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model.summary"
},
{
"to": [
"visualisation.immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model_species_labels"
],
"from": "immunology_sbml_sumana2018_mathematical_modeling_of_cancer_immun_biomd0000000885_model.species_labels"
}
],
"runtime": {
"duration": 10,
"initial_inputs": {},
"communication_step": 1
},
"description": "Mathematical modeling of cancer-immune system, considering the role of antibodies.Ghosh S1, Banerjee S2.Author information1 Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee,. It can be used to explore immune response dynamics and compare pathway-level behavior across conditions.",
"schema_version": "2.0"
}Sign in to start your own run. Public-lab history stays visible here.
Select a run from History to view its results.