About lab
Chakrabarty2010 - A control theory approach to cancer remission aided by an optimal therapy
This Biosimulant lab wraps Chakrabarty2010 - A control theory approach to cancer remission aided by an optimal therapy as a runnable oncology model with a companion visualization module.
This is a reinvestigation of a previous model depicting cancer remission. It can be used to explore treatment-response dynamics and compare scenario outcomes across configurations.
What You'll See
The lab asks: How does the bundled treatment-response model evolve under its baseline source conditions? It runs for 10.0 time units with a communication step of 1.0. The run uses the model defaults declared by the curated SBML wrapper. The generated visualizations focus on M Tumor Cells, N CTL, and Z THL, combining trajectory, endpoint-comparison, and summary-table views from one completed dark-mode run.
In this captured run, Z_THL carried the largest peak and Z_THL moved by 4.22e+05 native units across 10.0 simulation windows.
Output Visualizations
Summary table for Chakrabarty2010 - A control theory approach to cancer remission aided by an optimal therapy, reporting the scientific question, observed answer (largest change: Z_THL at 4.22e+05 native units), evidence (peak observable: Z_THL), dominant module, and caveat.
Trajectories of M Tumor Cells, N CTL, and Z THL across the 10.0 simulation. In this run Z THL climbed from 7.2e+06 to 7.62e+06 and N CTL fell from 2e+05 to 1.37e+05 — the largest movements among the focused observables.
Endpoint ranking of the focused observables. Top 3 by final value: Z THL = 7.62e+06, M Tumor Cells = 2.97e+06, N CTL = 1.37e+05.
Model Context
- Core model:
models/core - Visualization model:
models/visualisation - Standard:
other - Upstream source:
biomodels_ebi:BIOMD0000000777 - License:
CC0 - Visual scope: Drug/treatment response and tumour-state change
- Caveat: Values are native SBML quantities; the cleanup does not reinterpret source equations.
Inputs
| Input | Maps To | Default | Notes |
|---|---|---|---|
| M Tumor Cells | oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.initial_m_tumor_cells | 2750000.0 | Initial M Tumor Cells. Sets the initial value of bundled SBML symbol M_Tumor_Cells. |
| N CTL | oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.initial_n_ctl | 200000.0 | Initial N CTL. Sets the initial value of bundled SBML symbol N_CTL. |
| Z THL | oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.initial_z_thl | 7200000.0 | Initial Z THL. Sets the initial value of bundled SBML symbol Z_THL. |
Outputs
| Output | Maps To | Role |
|---|---|---|
m_tumor_cells | oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.m_tumor_cells | M Tumor Cells observable. |
n_ctl | oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.n_ctl | N CTL observable. |
z_thl | oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.z_thl | Z THL observable. |
state | oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.state | Full raw SBML observable record for reproducibility and downstream visualisation. |
summary | oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.summary | Change and peak summary across the simulated SBML observables. |
species_labels | oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.species_labels | Mapping from selected raw SBML observable symbols to display labels. |
Runtime
- Duration:
10.0 - Communication step:
1.0
Running Locally
biosimulant labs serve .
This is a reinvestigation of a previous model depicting cancer remission. It involves application of mathematical tools from control theory to assess the optimal approach during the use of Adaptive Ce.
Runtime
Runs
Metadata
Manifest
{
"io": {
"inputs": [
{
"name": "initial_m_tumor_cells",
"label": "M Tumor Cells",
"units": "native SBML value",
"default": 2750000,
"maps_to": "oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.initial_m_tumor_cells",
"description": "Initial M Tumor Cells. Sets the initial value of bundled SBML symbol `M_Tumor_Cells`."
},
{
"name": "initial_n_ctl",
"label": "N CTL",
"units": "native SBML value",
"default": 200000,
"maps_to": "oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.initial_n_ctl",
"description": "Initial N CTL. Sets the initial value of bundled SBML symbol `N_CTL`."
},
{
"name": "initial_z_thl",
"label": "Z THL",
"units": "native SBML value",
"default": 7200000,
"maps_to": "oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.initial_z_thl",
"description": "Initial Z THL. Sets the initial value of bundled SBML symbol `Z_THL`."
}
],
"outputs": [
{
"name": "m_tumor_cells",
"maps_to": "oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.m_tumor_cells",
"description": "M Tumor Cells observable. Maps to SBML symbol `M_Tumor_Cells`."
},
{
"name": "n_ctl",
"maps_to": "oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.n_ctl",
"description": "N CTL observable. Maps to SBML symbol `N_CTL`."
},
{
"name": "z_thl",
"maps_to": "oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.z_thl",
"description": "Z THL observable. Maps to SBML symbol `Z_THL`."
},
{
"name": "state",
"maps_to": "oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.state",
"description": "Full raw SBML observable record for reproducibility and downstream visualisation."
},
{
"name": "summary",
"maps_to": "oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.summary",
"description": "Change and peak summary across the simulated SBML observables."
},
{
"name": "species_labels",
"maps_to": "oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.species_labels",
"description": "Mapping from selected raw SBML observable symbols to display labels."
}
]
},
"tags": [
"biomodels_ebi",
"curated",
"drug-response",
"faithful",
"oncology",
"pharmacology",
"physiology",
"sbml",
"systemsbiology",
"tumor-growth"
],
"title": "Chakrabarty2010 - A control theory approach to cancer remission aided by an optimal therapy Lab",
"models": [
{
"path": "owned/models/oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model",
"alias": "oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model",
"provenance": {
"owned_path": "owned/models/oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model"
}
},
{
"path": "owned/models/visualisation",
"alias": "visualisation",
"provenance": {
"owned_path": "owned/models/visualisation"
}
}
],
"wiring": [
{
"to": [
"visualisation.oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model_state"
],
"from": "oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.state"
},
{
"to": [
"visualisation.oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model_summary"
],
"from": "oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.summary"
},
{
"to": [
"visualisation.oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model_species_labels"
],
"from": "oncology_sbml_chakrabarty2010_a_control_theory_approach_to_can_biomd0000000777_model.species_labels"
}
],
"runtime": {
"duration": 10,
"initial_inputs": {},
"communication_step": 1
},
"description": "This is a reinvestigation of a previous model depicting cancer remission. It involves application of mathematical tools from control theory to assess the optimal approach during the use of Adaptive Ce.",
"schema_version": "2.0"
}Sign in to start your own run. Public-lab history stays visible here.
Select a run from History to view its results.