About lab
Lee2016 Blood Coagulation
This Biosimulant lab wraps Lee2016 Blood Coagulation as a runnable systems biology model with a companion visualization module.
Systems Biology Lee2016Blood Coagulation Model Model1806060001Model captures systems biology lee2016 blood coagulation model1806060001 behavior in the context of systemsbiology, sbml, biomodels_ebi using a biomo. It can be used to explore the configured dynamics and compare scenario outcomes across configurations.
What You'll See
The lab asks: Which source-defined system states dominate this SBML model trajectory? Source model: Lee2016 - Blood Coagulation Model. It runs for 1.0 time units with a communication step of 0.1. The run uses the model defaults declared by the curated SBML wrapper. The generated visualizations focus on P-Fg, t-PA-Pg, t-PA, P-F, P-XF, and TF-FVII, combining trajectory, endpoint-comparison, and summary-table views from one completed dark-mode run.
In this captured run, P-Fg moved from 75.000 to 74.746 across 1.0 simulation windows.
Output Visualizations

Summary table for Lee2016 Blood Coagulation, reporting the scientific question, observed answer, dominant module, and caveat.

Trajectories of P-Fg, t-PA-Pg, t-PA, P-F, P-XF, and TF-FVII across the 1.0 simulation. In this run t-PA-Pg climbed from 4.300 to 4.302 and P-Fg fell from 75.000 to 74.746 — the largest movements among the focused observables.

Largest-excursion ranking of the focused observables — the absolute movement magnitude during the run. Top 3: P-Fg = 0.2547, t-PA-Pg = 0.00156, t-PA = 0.00155, with 3 more observables below.

Endpoint snapshot of the focused observables — final values from the captured run. Top 3 by value: P-Fg = 74.746, t-PA-Pg = 4.302, t-PA = 0.1433, with 3 more observables below.

Visualization card from the Lee2016 Blood Coagulation dark-mode run.
Model Context
- Core model:
models/core - Visualization model:
models/visualisation - Standard:
other - Upstream source:
biomodels_ebi:MODEL1806060001 - License:
CC0
Inputs
| Input | Maps To | Default | Notes |
|---|---|---|---|
| Initial P Fg | systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.initial_p_fg | Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol P_Fg. | |
| Initial T Pa Pg | systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.initial_t_pa_pg | Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol t_PA_Pg. | |
| Initial T Pa | systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.initial_t_pa | Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol t_PA. | |
| Initial Model State P F | systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.initial_model_state_p_f | Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol P_F. | |
| Initial P Xf | systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.initial_p_xf | Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol P_XF. | |
| Initial Tf Fvii | systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.initial_tf_fvii | Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol TF_FVII. |
Outputs
| Output | Maps To | Role |
|---|---|---|
state | systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.state | Available to the visualization model and downstream workflows. |
summary | systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.summary | Available to the visualization model and downstream workflows. |
species_labels | systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.species_labels | Available to the visualization model and downstream workflows. |
p_fg | systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.p_fg | Available to the visualization model and downstream workflows. |
t_pa_pg | systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.t_pa_pg | Available to the visualization model and downstream workflows. |
t_pa | systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.t_pa | Available to the visualization model and downstream workflows. |
p_f | systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.p_f | Available to the visualization model and downstream workflows. |
p_xf | systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.p_xf | Available to the visualization model and downstream workflows. |
tf_fvii | systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.tf_fvii | Available to the visualization model and downstream workflows. |
Runtime
- Duration:
1.0 - Communication step:
0.1
Running Locally
biosimulant labs serve
Systems Biology Lee2016Blood Coagulation Model Model1806060001Model captures systemsbiology lee2016 blood coagulation model1806060001 behavior in the context of systemsbiology, sbml, biomodels_ebi using a biomo. When you run it, you can observe state and evaluate how the modeled system changes across runs.
Runtime
Runs
Metadata
Manifest
{
"io": {
"inputs": [
{
"name": "initial_p_fg",
"label": "Initial P Fg",
"maps_to": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.initial_p_fg",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `P_Fg`."
},
{
"name": "initial_t_pa_pg",
"label": "Initial T Pa Pg",
"maps_to": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.initial_t_pa_pg",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `t_PA_Pg`."
},
{
"name": "initial_t_pa",
"label": "Initial T Pa",
"maps_to": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.initial_t_pa",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `t_PA`."
},
{
"name": "initial_model_state_p_f",
"label": "Initial Model State P F",
"maps_to": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.initial_model_state_p_f",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `P_F`."
},
{
"name": "initial_p_xf",
"label": "Initial P Xf",
"maps_to": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.initial_p_xf",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `P_XF`."
},
{
"name": "initial_tf_fvii",
"label": "Initial Tf Fvii",
"maps_to": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.initial_tf_fvii",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `TF_FVII`."
}
],
"outputs": [
{
"name": "state",
"maps_to": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.state"
},
{
"name": "summary",
"maps_to": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.summary"
},
{
"name": "species_labels",
"maps_to": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.species_labels"
},
{
"name": "p_fg",
"maps_to": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.p_fg"
},
{
"name": "t_pa_pg",
"maps_to": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.t_pa_pg"
},
{
"name": "t_pa",
"maps_to": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.t_pa"
},
{
"name": "p_f",
"maps_to": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.p_f"
},
{
"name": "p_xf",
"maps_to": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.p_xf"
},
{
"name": "tf_fvii",
"maps_to": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.tf_fvii"
}
]
},
"tags": [
"systemsbiology",
"sbml",
"biomodels_ebi",
"faithful",
"curated"
],
"title": "Lee2016 Blood Coagulation Lab",
"models": [
{
"path": "owned/models/systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model",
"alias": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model",
"provenance": {
"owned_path": "owned/models/systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model"
}
},
{
"path": "owned/models/visualisation",
"alias": "visualisation",
"provenance": {
"owned_path": "owned/models/visualisation"
}
}
],
"wiring": [
{
"to": [
"visualisation.systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model_state"
],
"from": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.state"
},
{
"to": [
"visualisation.systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model_summary"
],
"from": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.summary"
},
{
"to": [
"visualisation.systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model_species_labels"
],
"from": "systemsbiology_sbml_lee2016_blood_coagulation_model_model1806060001_model.species_labels"
}
],
"runtime": {
"duration": 1,
"initial_inputs": {},
"communication_step": 0.1
},
"description": "Systems Biology Lee2016Blood Coagulation Model Model1806060001Model captures systemsbiology lee2016 blood coagulation model1806060001 behavior in the context of systemsbiology, sbml, biomodels_ebi using a biomo. When you run it, you can observe state and evaluate how the modeled system changes across runs.",
"schema_version": "2.0"
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