About lab
The paper describes a spatio-temporal mathematical model, in the form of a moving boundary problem, to explain cancer dormancy is developed. 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
Packagemalinzi2018-tumour-immune-interaction-model-lab
Created2026-05-15
Updated2026-05-15
immunologysbmlbiomodels_ebifaithfulcuratedvisualisation
Manifest
{
"io": {
"inputs": [
{
"name": "initial_immune_cell_x",
"label": "Initial Immune Cell X",
"units": "native source value",
"default": 0.3,
"maps_to": "immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model.initial_immune_cell_x",
"description": "Initial Immune Cell X. Sets the initial value of bundled SBML species `x`."
},
{
"name": "initial_tumour_cell_y",
"label": "Initial Tumour Cell Y",
"units": "native source value",
"default": 0.8,
"maps_to": "immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model.initial_tumour_cell_y",
"description": "Initial Tumour Cell Y. Sets the initial value of bundled SBML species `y`."
},
{
"name": "initial_dead_tumour_cell_ystar",
"label": "Initial Dead Tumour Cell Ystar",
"units": "native source value",
"default": 0.1,
"maps_to": "immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model.initial_dead_tumour_cell_ystar",
"description": "Initial Dead Tumour Cell Ystar. Sets the initial value of bundled SBML species `ystar`."
},
{
"name": "initial_chemokine_concentration_u",
"label": "Initial Chemokine Concentration U",
"units": "native source value",
"default": "1e-6",
"maps_to": "immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model.initial_chemokine_concentration_u",
"description": "Initial Chemokine Concentration U. Sets the initial value of bundled SBML species `u`."
},
{
"name": "immune_cell_x_proliferation_rate",
"label": "Immune Cell X Proliferation Rate",
"units": "native source value",
"default": 3.0218,
"maps_to": "immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model.immune_cell_x_proliferation_rate",
"description": "Immune Cell X Proliferation Rate. Sets bundled SBML parameter `delta`."
},
{
"name": "immune_cell_x_proliferation_rate_2",
"label": "Immune Cell X Proliferation Rate 2",
"units": "native source value",
"default": 2.02,
"maps_to": "immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model.immune_cell_x_proliferation_rate_2",
"description": "Immune Cell X Proliferation Rate 2. Sets bundled SBML parameter `gamma`."
}
],
"outputs": [
{
"name": "immune_cell_x",
"maps_to": "immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model.immune_cell_x"
},
{
"name": "tumour_cell_y",
"maps_to": "immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model.tumour_cell_y"
},
{
"name": "dead_tumour_cell_ystar",
"maps_to": "immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model.dead_tumour_cell_ystar"
},
{
"name": "chemokine_concentration_u",
"maps_to": "immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model.chemokine_concentration_u"
},
{
"name": "state",
"maps_to": "immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model.state"
},
{
"name": "summary",
"maps_to": "immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model.summary"
},
{
"name": "species_labels",
"maps_to": "immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model.species_labels"
}
]
},
"title": "Malinzi2018 - tumour-immune interaction model Lab",
"models": [
{
"path": "owned/models/immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model",
"alias": "immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model",
"provenance": {
"owned_path": "owned/models/immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model"
}
},
{
"path": "owned/models/visualisation",
"alias": "visualisation",
"provenance": {
"owned_path": "owned/models/visualisation"
}
}
],
"wiring": [
{
"to": [
"visualisation.immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model_state"
],
"from": "immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model.state"
},
{
"to": [
"visualisation.immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model_summary"
],
"from": "immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model.summary"
},
{
"to": [
"visualisation.immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model_species_labels"
],
"from": "immunology_sbml_malinzi2018_tumour_immune_interaction_model_biomd0000000809_model.species_labels"
}
],
"runtime": {
"duration": 10,
"initial_inputs": {},
"communication_step": 1
},
"description": "The paper describes a spatio-temporal mathematical model, in the form of a moving boundary problem, to explain cancer dormancy is developed. It can be used to explore immune response dynamics and compare pathway-level behavior across conditions.",
"schema_version": "2.0"
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