About lab
This is a simple mathematical population model for pembrolizumab-treated advanced melanoma patients, used to predict the response of melanoma patients to immune checkpoint inhibitors. 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
Packagetsur2019-response-of-patients-with-melanoma-to-immune-checkpoint
Created2026-05-15
Updated2026-05-15
immunologysbmlbiomodels_ebifaithfulcuratedvisualisation
Manifest
{
"io": {
"inputs": [
{
"name": "initial_unresolved_prediction_observable_1",
"label": "Initial Unresolved Prediction Observable 1",
"units": "native source value",
"default": 14119.9020779221,
"maps_to": "immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model.initial_unresolved_prediction_observable_1",
"description": "Initial Unresolved Prediction Observable 1. Sets the initial value of bundled SBML species `A`."
},
{
"name": "initial_unresolved_prediction_observable_2",
"label": "Initial Unresolved Prediction Observable 2",
"units": "native source value",
"default": 66094173.0355407,
"maps_to": "immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model.initial_unresolved_prediction_observable_2",
"description": "Initial Unresolved Prediction Observable 2. Sets the initial value of bundled SBML species `T`."
},
{
"name": "initial_unresolved_prediction_observable_3",
"label": "Initial Unresolved Prediction Observable 3",
"units": "native source value",
"default": 1000000,
"maps_to": "immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model.initial_unresolved_prediction_observable_3",
"description": "Initial Unresolved Prediction Observable 3. Sets the initial value of bundled SBML species `M`."
}
],
"outputs": [
{
"name": "unresolved_prediction_observable_1",
"maps_to": "immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model.unresolved_prediction_observable_1"
},
{
"name": "unresolved_prediction_observable_2",
"maps_to": "immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model.unresolved_prediction_observable_2"
},
{
"name": "unresolved_prediction_observable_3",
"maps_to": "immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model.unresolved_prediction_observable_3"
},
{
"name": "state",
"maps_to": "immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model.state"
},
{
"name": "summary",
"maps_to": "immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model.summary"
},
{
"name": "species_labels",
"maps_to": "immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model.species_labels"
}
]
},
"title": "Tsur2019 - Response of patients with melanoma to immune checkpoint blockade Lab",
"models": [
{
"path": "owned/models/immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model",
"alias": "immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model",
"provenance": {
"owned_path": "owned/models/immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model"
}
},
{
"path": "owned/models/visualisation",
"alias": "visualisation",
"provenance": {
"owned_path": "owned/models/visualisation"
}
}
],
"wiring": [
{
"to": [
"visualisation.immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model_state"
],
"from": "immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model.state"
},
{
"to": [
"visualisation.immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model_summary"
],
"from": "immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model.summary"
},
{
"to": [
"visualisation.immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model_species_labels"
],
"from": "immunology_sbml_tsur2019_response_of_patients_with_melanoma_to_i_biomd0000000838_model.species_labels"
}
],
"runtime": {
"duration": 10,
"initial_inputs": {},
"communication_step": 1
},
"description": "This is a simple mathematical population model for pembrolizumab-treated advanced melanoma patients, used to predict the response of melanoma patients to immune checkpoint inhibitors. 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.