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This a model from the article: Kinetic modeling of tricarboxylic acid cycle and glyoxylate bypass in Mycobacterium tuberculosis, and its application to assessment of drug targets. It can be used to explore dose-response dynamics and compare treatment scenarios across conditions.
Manifest
{
"io": {
"inputs": [
{
"name": "initial_coa_pool",
"label": "Initial Coa Pool",
"maps_to": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.initial_coa_pool"
},
{
"name": "initial_acetate_or_acetyl_pool",
"label": "Initial Acetate Or Acetyl Pool",
"maps_to": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.initial_acetate_or_acetyl_pool"
},
{
"name": "initial_oxaloacetate_pool",
"label": "Initial Oxaloacetate Pool",
"maps_to": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.initial_oxaloacetate_pool"
},
{
"name": "initial_citrate_pool",
"label": "Initial Citrate Pool",
"maps_to": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.initial_citrate_pool"
}
],
"outputs": [
{
"name": "state",
"label": "Tracked source state",
"maps_to": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.state"
},
{
"name": "summary",
"label": "Simulation summary",
"maps_to": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.summary"
},
{
"name": "species_labels",
"label": "Observable labels",
"maps_to": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.species_labels"
},
{
"name": "coa_pool",
"label": "Coa Pool",
"maps_to": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.coa_pool"
},
{
"name": "acetate_or_acetyl_pool",
"label": "Acetate Or Acetyl Pool",
"maps_to": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.acetate_or_acetyl_pool"
},
{
"name": "oxaloacetate_pool",
"label": "Oxaloacetate Pool",
"maps_to": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.oxaloacetate_pool"
},
{
"name": "citrate_pool",
"label": "Citrate Pool",
"maps_to": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.citrate_pool"
},
{
"name": "isocitrate_pool",
"label": "Isocitrate Pool",
"maps_to": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.isocitrate_pool"
},
{
"name": "alpha_ketoglutarate_pool",
"label": "Alpha Ketoglutarate Pool",
"maps_to": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.alpha_ketoglutarate_pool"
},
{
"name": "succinate_semialdehyde_pool",
"label": "Succinate Semialdehyde Pool",
"maps_to": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.succinate_semialdehyde_pool"
},
{
"name": "succinate_pool",
"label": "Succinate Pool",
"maps_to": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.succinate_pool"
}
]
},
"tags": [
"pharmacology",
"antimicrobial",
"tuberculosis",
"metabolism",
"sbml",
"tellurium",
"faithful",
"biomodels_ebi"
],
"title": "Singh2006_TCA_mtu_model1 Lab",
"models": [
{
"path": "models/core",
"alias": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model",
"parameters": {
"model_path": "data/BIOMD0000000219.xml",
"integration_step": 0.05
}
},
{
"path": "models/visualisation",
"alias": "visualisation"
}
],
"wiring": [
{
"to": [
"visualisation.pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model_state"
],
"from": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.state"
},
{
"to": [
"visualisation.pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model_summary"
],
"from": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.summary"
},
{
"to": [
"visualisation.pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model_species_labels"
],
"from": "pharmacology_sbml_singh2006_tca_mtu_model1_biomd0000000219_model.species_labels"
}
],
"package": "singh2006-mtb-tca-model1",
"runtime": {
"duration": 5,
"initial_inputs": {},
"communication_step": 0.5
},
"version": "1.0.0",
"description": "This a model from the article: Kinetic modeling of tricarboxylic acid cycle and glyoxylate bypass in Mycobacterium tuberculosis, and its application to assessment of drug targets. It can be used to explore dose-response dynamics and compare treatment scenarios across conditions.",
"schema_version": "2.0"
}Runtime
Duration5
Comms Step0.5
Runs
Total0
Completed0
Failed0
Metadata
Packagesingh2006-mtb-tca-model1
Created2026-05-16
Updated2026-06-13
pharmacologyantimicrobialtuberculosismetabolismsbmltelluriumfaithfulbiomodels_ebivisualisationother