About lab
One published Lab
Build with this Lab. Run it anywhere.
Use the same immutable release locally or through managed cloud execution, with its exact version and provenance preserved.
Preparing exact examples…
Construction of feasible and accurate kinetic models of metabolism: A Bayesian approachPedro A. It can be used to explore metabolic flux dynamics and compare pathway behavior across conditions.
Manifest
{
"io": {
"inputs": [
{
"name": "initial_methionine_cycle_state_1",
"units": "native SBML value",
"default": 50,
"maps_to": "metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model.initial_methionine_cycle_state_1",
"description": "Initial condition for methionine cycle state 1. Maps to bundled SBML symbol `MET`. Applied before the Tellurium simulation starts; this does not change kinetic parameters or equations. Default from bundled SBML initial value."
},
{
"name": "initial_methionine_cycle_state_2",
"units": "native SBML value",
"default": 60,
"maps_to": "metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model.initial_methionine_cycle_state_2",
"description": "Initial condition for methionine cycle state 2. Maps to bundled SBML symbol `ADOMET`. Applied before the Tellurium simulation starts; this does not change kinetic parameters or equations. Default from bundled SBML initial value."
},
{
"name": "initial_methionine_cycle_state_3",
"units": "native SBML value",
"default": 35,
"maps_to": "metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model.initial_methionine_cycle_state_3",
"description": "Initial condition for methionine cycle state 3. Maps to bundled SBML symbol `ADOHCY`. Applied before the Tellurium simulation starts; this does not change kinetic parameters or equations. Default from bundled SBML initial value."
},
{
"name": "initial_methionine_cycle_state_4",
"units": "native SBML value",
"default": 1.7,
"maps_to": "metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model.initial_methionine_cycle_state_4",
"description": "Initial condition for methionine cycle state 4. Maps to bundled SBML symbol `MTHF`. Applied before the Tellurium simulation starts; this does not change kinetic parameters or equations. Default from bundled SBML initial value."
},
{
"name": "initial_methionine_cycle_state_5",
"units": "native SBML value",
"default": 3.5,
"maps_to": "metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model.initial_methionine_cycle_state_5",
"description": "Initial condition for methionine cycle state 5. Maps to bundled SBML symbol `HCY`. Applied before the Tellurium simulation starts; this does not change kinetic parameters or equations. Default from bundled SBML initial value."
}
],
"outputs": [
{
"name": "methionine_cycle_state_1",
"maps_to": "metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model.methionine_cycle_state_1"
},
{
"name": "methionine_cycle_state_2",
"maps_to": "metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model.methionine_cycle_state_2"
},
{
"name": "methionine_cycle_state_3",
"maps_to": "metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model.methionine_cycle_state_3"
},
{
"name": "methionine_cycle_state_4",
"maps_to": "metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model.methionine_cycle_state_4"
},
{
"name": "methionine_cycle_state_5",
"maps_to": "metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model.methionine_cycle_state_5"
},
{
"name": "observable_values",
"maps_to": "metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model.observable_values"
},
{
"name": "run_summary",
"maps_to": "metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model.run_summary"
},
{
"name": "observable_labels",
"maps_to": "metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model.observable_labels"
}
]
},
"title": "Saa2016 - Mammalian methionine cycle - approximate bayesian computation Lab",
"models": [
{
"path": "models/core",
"alias": "metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model",
"parameters": {
"model_path": "data/MODEL1603150000.xml",
"integration_step": 0.1
}
},
{
"path": "models/visualisation",
"alias": "visualisation"
}
],
"wiring": [
{
"to": [
"visualisation.metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model_observable_values"
],
"from": "metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model.observable_values"
},
{
"to": [
"visualisation.metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model_run_summary"
],
"from": "metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model.run_summary"
},
{
"to": [
"visualisation.metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model_observable_labels"
],
"from": "metabolism_sbml_saa2016_mammalian_methionine_cycle_approximate_b_model1603150000_model.observable_labels"
}
],
"package": "saa2016-mammalian-methionine-cycle-approximate-bayesian-baf20fca",
"runtime": {
"duration": 10,
"initial_inputs": {},
"communication_step": 1
},
"version": "1.0.0",
"description": "Construction of feasible and accurate kinetic models of metabolism: A Bayesian approachPedro A. It can be used to explore metabolic flux dynamics and compare pathway behavior across conditions.",
"schema_version": "2.0"
}Runtime
Duration10
Comms Step1
Runs
Total0
Completed0
Failed0
Metadata
Packagesaa2016-mammalian-methionine-cycle-approximate-bayesian-baf20fca
Created2026-05-15
Updated2026-06-13
biomodels_ebifaithfulmetabolismodesbmltelluriumvisualisationother