About lab
Sengupta2015 - Knowledge base model of humanenergy pool network (HEPNet) This model is described in the article: HEPNet: A Knowledge Base Model of Human Energy Pool Network for Predicting the Energy A. It can be used to explore systemsbiology sengupta2015 knowledge base of human dynamics and compare simulation behavior across conditions.
Runtime
Duration1
Comms Step0.1
Runs
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Completed0
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Metadata
Packagesengupta2015-knowledge-base-model-of-human-energy-pool-network-l
Created2026-05-17
Updated2026-05-17
systemsbiologysbmlbiomodels_ebifaithfulcuratedvisualisation
Manifest
{
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"label": "Initial Udp Glucose4epimerase",
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"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `s13`."
},
{
"name": "initial_glucose",
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"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `s71`."
},
{
"name": "initial_model_state_2_atp",
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"maps_to": "systemsbiology_sbml_sengupta2015_knowledge_base_model_of_human_energ_biomd0000000579_model.initial_model_state_2_atp",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `s29`."
},
{
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"maps_to": "systemsbiology_sbml_sengupta2015_knowledge_base_model_of_human_energ_biomd0000000579_model.initial_model_state_atp",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `s63`."
},
{
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"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `s345`."
},
{
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"maps_to": "systemsbiology_sbml_sengupta2015_knowledge_base_model_of_human_energ_biomd0000000579_model.initial_model_state_2_adp",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `s30`."
}
],
"outputs": [
{
"name": "state",
"maps_to": "systemsbiology_sbml_sengupta2015_knowledge_base_model_of_human_energ_biomd0000000579_model.state"
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{
"name": "summary",
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{
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{
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},
{
"name": "glucose",
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},
{
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},
{
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},
{
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},
{
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"maps_to": "systemsbiology_sbml_sengupta2015_knowledge_base_model_of_human_energ_biomd0000000579_model.model_state_2_adp"
}
]
},
"tags": [
"systemsbiology",
"sbml",
"biomodels_ebi",
"faithful",
"curated"
],
"title": "Sengupta2015 Knowledge Base Model Of Human Energy Pool Network Lab",
"models": [
{
"path": "owned/models/systemsbiology_sbml_sengupta2015_knowledge_base_model_of_human_energ_biomd0000000579_model",
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{
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"wiring": [
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{
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"runtime": {
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"initial_inputs": {},
"communication_step": 0.1
},
"description": "Sengupta2015 - Knowledge base model of humanenergy pool network (HEPNet) This model is described in the article: HEPNet: A Knowledge Base Model of Human Energy Pool Network for Predicting the Energy A. It can be used to explore systemsbiology sengupta2015 knowledge base of human dynamics and compare simulation behavior across conditions.",
"schema_version": "2.0"
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