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Systems Biology Amstein2022Tnfr1Signal Transduction Petri Net Model2210170001Model captures core biological behavior in the context of systemsbiology, sbml, biomodels_ebi using a biomodels_ebi-sourced OTHER mod. When you run it, you can observe state and evaluate how the modeled system changes across runs.
Manifest
{
"io": {
"inputs": [
{
"name": "initial_c_flipl_mrna",
"label": "Initial C Flipl MRNA",
"maps_to": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.initial_c_flipl_mrna",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `P95`."
},
{
"name": "initial_xiap_mrna",
"label": "Initial Xiap MRNA",
"maps_to": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.initial_xiap_mrna",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `P93`."
},
{
"name": "initial_ik_b_mrna",
"label": "Initial Ik B MRNA",
"maps_to": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.initial_ik_b_mrna",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `P79`."
},
{
"name": "initial_bcl_2_mrna",
"label": "Initial Bcl 2 MRNA",
"maps_to": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.initial_bcl_2_mrna",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `P96`."
},
{
"name": "initial_a20_mrna",
"label": "Initial A20 MRNA",
"maps_to": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.initial_a20_mrna",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `P92`."
},
{
"name": "initial_t_bid_mom",
"label": "Initial T Bid Mom",
"maps_to": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.initial_t_bid_mom",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `P105`."
}
],
"outputs": [
{
"name": "state",
"maps_to": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.state"
},
{
"name": "summary",
"maps_to": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.summary"
},
{
"name": "species_labels",
"maps_to": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.species_labels"
},
{
"name": "c_flipl_mrna",
"maps_to": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.c_flipl_mrna"
},
{
"name": "xiap_mrna",
"maps_to": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.xiap_mrna"
},
{
"name": "ik_b_mrna",
"maps_to": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.ik_b_mrna"
},
{
"name": "bcl_2_mrna",
"maps_to": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.bcl_2_mrna"
},
{
"name": "a20_mrna",
"maps_to": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.a20_mrna"
},
{
"name": "t_bid_mom",
"maps_to": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.t_bid_mom"
}
]
},
"tags": [
"immunology",
"signaling",
"systemsbiology",
"sbml",
"biomodels_ebi",
"faithful",
"curated"
],
"title": "Amstein2022 Tnfr1 Signal Transduction Petri Net Lab",
"models": [
{
"path": "models/core",
"alias": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model"
},
{
"path": "models/visualisation",
"alias": "visualisation"
}
],
"wiring": [
{
"to": [
"visualisation.systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model_state"
],
"from": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.state"
},
{
"to": [
"visualisation.systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model_summary"
],
"from": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.summary"
},
{
"to": [
"visualisation.systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model_species_labels"
],
"from": "systemsbiology_sbml_amstein2022_tnfr1_signal_transduction_petri_net_model2210170001_model.species_labels"
}
],
"package": "amstein2022-tnfr1-signal-transduction-petri-net",
"runtime": {
"duration": 1,
"initial_inputs": {},
"communication_step": 0.1
},
"version": "1.0.0",
"description": "Systems Biology Amstein2022Tnfr1Signal Transduction Petri Net Model2210170001Model captures core biological behavior in the context of systemsbiology, sbml, biomodels_ebi using a biomodels_ebi-sourced OTHER mod. When you run it, you can observe state and evaluate how the modeled system changes across runs.",
"schema_version": "2.0"
}Runtime
Duration1
Comms Step0.1
Runs
Total0
Completed0
Failed0
Metadata
Packageamstein2022-tnfr1-signal-transduction-petri-net
Created2026-05-17
Updated2026-06-13
immunologysignalingsystemsbiologysbmlbiomodels_ebifaithfulcuratedvisualisationother