About lab
Wang2019 A Mathematical Model Of Oncolytic Virotherapy With Time De 2 (BIOMD0000000902)
This Biosimulant lab wraps BIOMD0000000902 Wang2019 A Mathematical Model Of Oncolytic Virotherapy With Time De 2 as a runnable systems biology model with a companion visualization module.
A mathematical model describing oncolytic virotherapy with incorporation the viral lytic cycle and the virus-specific CTL response. It can be used to explore the configured dynamics and compare scenario outcomes across configurations.
What You'll See
The lab asks: Which cell-cycle control states dominate the simulated progression? Source model: Wang2019 - A mathematical model of oncolytic virotherapy with time delay. 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 y, x, z, and I, combining trajectory, endpoint-comparison, and summary-table views from one completed dark-mode run.
In this captured run, z moved from 100.0 to 990.9 across 1.0 simulation windows.
Output Visualizations
Summary table for Wang2019 A Mathematical Model Of Oncolytic Virotherapy With Time De 2, reporting the scientific question, observed answer, dominant module, and caveat.
Trajectories of z, y, x, and I across the 1.0 simulation. In this run z climbed from 100.0 to 990.9 and y fell from 800.0 to 0.0546 — the largest movements among the focused observables.
Largest-excursion ranking of the focused observables — the absolute movement magnitude during the run. Top 3: z = 1126.1, y = 799.9, x = 24.279.
Endpoint snapshot of the focused observables — final values from the captured run. Top 3 by value: z = 990.9, x = 219.5, y = 0.0546.
Visualization card from the Wang2019 A Mathematical Model Of Oncolytic Virotherapy With Time De 2 dark-mode run.
Model Context
- Core model:
models/core - Visualization model:
models/visualisation - Standard:
other - Upstream source:
biomodels_ebi:BIOMD0000000902 - License:
CC0
Inputs
| Input | Maps To | Default | Notes |
|---|---|---|---|
| Initial Model State Y | systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.initial_model_state_y | Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol y. | |
| Initial Model State X | systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.initial_model_state_x | Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol x. | |
| Initial Model State Z | systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.initial_model_state_z | Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol z. | |
| Initial Model State I | systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.initial_model_state_i | Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol I. |
Outputs
| Output | Maps To | Role |
|---|---|---|
state | systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.state | Available to the visualization model and downstream workflows. |
summary | systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.summary | Available to the visualization model and downstream workflows. |
species_labels | systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.species_labels | Available to the visualization model and downstream workflows. |
model_state_y | systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.model_state_y | Available to the visualization model and downstream workflows. |
model_state_x | systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.model_state_x | Available to the visualization model and downstream workflows. |
model_state_z | systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.model_state_z | Available to the visualization model and downstream workflows. |
model_state_i | systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.model_state_i | Available to the visualization model and downstream workflows. |
Runtime
- Duration:
1.0 - Communication step:
0.1
Running Locally
biosimulant labs serve
A mathematical model describing oncolytic virotherapy with incorporation the viral lytic cycle and the virus-specific CTL response. The thresholds for viral treatment and virus-specific CTl response a.
Runtime
Runs
Metadata
Manifest
{
"io": {
"inputs": [
{
"name": "initial_model_state_y",
"label": "Initial Model State Y",
"maps_to": "systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.initial_model_state_y",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `y`."
},
{
"name": "initial_model_state_x",
"label": "Initial Model State X",
"maps_to": "systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.initial_model_state_x",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `x`."
},
{
"name": "initial_model_state_z",
"label": "Initial Model State Z",
"maps_to": "systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.initial_model_state_z",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `z`."
},
{
"name": "initial_model_state_i",
"label": "Initial Model State I",
"maps_to": "systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.initial_model_state_i",
"description": "Source state initial condition exposed as a model-specific control because no explicit intervention parameter is identifiable. Maps to SBML symbol `I`."
}
],
"outputs": [
{
"name": "state",
"maps_to": "systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.state"
},
{
"name": "summary",
"maps_to": "systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.summary"
},
{
"name": "species_labels",
"maps_to": "systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.species_labels"
},
{
"name": "model_state_y",
"maps_to": "systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.model_state_y"
},
{
"name": "model_state_x",
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},
{
"name": "model_state_z",
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},
{
"name": "model_state_i",
"maps_to": "systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model.model_state_i"
}
]
},
"tags": [
"cellcycle",
"oncology",
"pharmacology",
"systemsbiology",
"sbml",
"biomodels_ebi",
"faithful",
"curated"
],
"title": "BIOMD0000000902 Wang2019 A Mathematical Model Of Oncolytic Virotherapy With Time De 2 Lab",
"models": [
{
"path": "owned/models/systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model",
"alias": "systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model",
"provenance": {
"owned_path": "owned/models/systemsbiology_sbml_wang2019_a_mathematical_model_of_oncolytic_virot_biomd0000000902_model"
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{
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"wiring": [
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{
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"runtime": {
"duration": 1,
"initial_inputs": {},
"communication_step": 0.1
},
"description": "A mathematical model describing oncolytic virotherapy with incorporation the viral lytic cycle and the virus-specific CTL response. The thresholds for viral treatment and virus-specific CTl response a.",
"schema_version": "2.0"
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