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Mathematical modeling of immune modulation by glucocorticoidsKonstantin Yakimchukhttps://doi.org/10.1016/j.biosystems.2019.104066AbstractThe cellular and molecular mechanisms of immunomodulatory actio. It can be used to explore immune response dynamics and compare pathway-level behavior across conditions.
Manifest
{
"io": {
"inputs": [
{
"name": "initial_unresolved_immune_observable_1",
"label": "Initial Unresolved Immune Observable 1",
"units": "native source value",
"default": 1,
"maps_to": "immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model.initial_unresolved_immune_observable_1",
"description": "Initial Unresolved Immune Observable 1. Sets the initial value of bundled SBML species `Te`."
},
{
"name": "initial_unresolved_immune_observable_2",
"label": "Initial Unresolved Immune Observable 2",
"units": "native source value",
"default": 1,
"maps_to": "immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model.initial_unresolved_immune_observable_2",
"description": "Initial Unresolved Immune Observable 2. Sets the initial value of bundled SBML species `N`."
},
{
"name": "initial_unresolved_immune_observable_3",
"label": "Initial Unresolved Immune Observable 3",
"units": "native source value",
"default": 1,
"maps_to": "immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model.initial_unresolved_immune_observable_3",
"description": "Initial Unresolved Immune Observable 3. Sets the initial value of bundled SBML species `A`."
},
{
"name": "initial_unresolved_immune_observable_4",
"label": "Initial Unresolved Immune Observable 4",
"units": "native source value",
"default": 1,
"maps_to": "immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model.initial_unresolved_immune_observable_4",
"description": "Initial Unresolved Immune Observable 4. Sets the initial value of bundled SBML species `Tr`."
},
{
"name": "initial_unresolved_immune_observable_5",
"label": "Initial Unresolved Immune Observable 5",
"units": "native source value",
"default": 1,
"maps_to": "immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model.initial_unresolved_immune_observable_5",
"description": "Initial Unresolved Immune Observable 5. Sets the initial value of bundled SBML species `T_dc`."
}
],
"outputs": [
{
"name": "unresolved_immune_observable_1",
"maps_to": "immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model.unresolved_immune_observable_1"
},
{
"name": "unresolved_immune_observable_2",
"maps_to": "immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model.unresolved_immune_observable_2"
},
{
"name": "unresolved_immune_observable_3",
"maps_to": "immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model.unresolved_immune_observable_3"
},
{
"name": "unresolved_immune_observable_4",
"maps_to": "immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model.unresolved_immune_observable_4"
},
{
"name": "unresolved_immune_observable_5",
"maps_to": "immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model.unresolved_immune_observable_5"
},
{
"name": "state",
"maps_to": "immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model.state"
},
{
"name": "summary",
"maps_to": "immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model.summary"
},
{
"name": "species_labels",
"maps_to": "immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model.species_labels"
}
]
},
"title": "Yakimchuk2019 - Mathematical modeling of immune modulation by glucocorticoids Lab",
"models": [
{
"path": "models/core",
"alias": "immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model"
},
{
"path": "models/visualisation",
"alias": "visualisation"
}
],
"wiring": [
{
"to": [
"visualisation.immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model_state"
],
"from": "immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model.state"
},
{
"to": [
"visualisation.immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model_summary"
],
"from": "immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model.summary"
},
{
"to": [
"visualisation.immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model_species_labels"
],
"from": "immunology_sbml_yakimchuk2019_mathematical_modeling_of_immune_mo_model1912170005_model.species_labels"
}
],
"package": "yakimchuk2019-mathematical-modeling-of-immune-modulatio-1398ec0c",
"runtime": {
"duration": 10,
"initial_inputs": {},
"communication_step": 1
},
"version": "1.0.0",
"description": "Mathematical modeling of immune modulation by glucocorticoidsKonstantin Yakimchukhttps://doi.org/10.1016/j.biosystems.2019.104066AbstractThe cellular and molecular mechanisms of immunomodulatory actio. It can be used to explore immune response dynamics and compare pathway-level behavior across conditions.",
"schema_version": "2.0"
}Runtime
Duration10
Comms Step1
Runs
Total0
Completed0
Failed0
Metadata
Packageyakimchuk2019-mathematical-modeling-of-immune-modulatio-1398ec0c
Created2026-05-15
Updated2026-06-13
immunologysbmlbiomodels_ebifaithfulcuratedvisualisationother