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Model
Source and simulation metadata
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This public demo shows mechanistic model outputs for research exploration only. It is not medical advice, clinical decision support, diagnosis, prognosis, or a treatment recommendation. Do not enter personal health information.
Analysis Overview
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Use the page navigation to inspect simulation, validation, scenarios, source, and research context.
Simulation Plots
Patient Prediction
Final 2026 personalized projection.
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DAv trajectory
nmol
DAv percent of control
percent
Treatment Comparison
kMAO_DA Sweeps
Batch kMAO_DA reduction and timing families for Final 2026.
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kMAO_DA Reduction Family
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Treatment Start-Age Family
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Scenario Parameters
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Edited assumptions apply to bounded scenario simulations only. Exact saved-run validation stays tied to the original Stella source and saved reference data.
ISDB Compatibility
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Equation Residuals
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Constrained Flow Residuals
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Pass-Through Inference
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Full-Run Saved-Series Validation
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Residuals
Stella CSV Reference
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Residuals
Generated Python Source
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Generated Runtime Validation
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About The Model
Research context, provenance, and source articles.
Who Dr. Goldstein Is
Dr. David S. Goldstein is the author of the putamen dopamine modeling work reproduced here. The primary 2026 model article lists his affiliation as the Clinical Neurosciences Program, Division of Intramural Research, National Institute of Neurological Disorders and Stroke, National Institutes of Health. His research program has focused on catecholamine biology, autonomic/neurocardiology disorders, and dopamine-related mechanisms in Parkinson's disease.
What This Tool Does
This browser tool translates copied Stella Architect putamen dopamine dynamics models into Python, then lets users inspect equations, run bounded simulations, compare validation evidence, and explore research scenarios such as kMAO_DA reduction sweeps. The goal is transparency and reproducibility: every plotted curve should be traceable to the Stella source model, the Python execution path, and the published mechanistic assumptions.
Research Articles
Predictive modeling of putamen dopamine in Parkinson's disease
Primary 2026 AJP-Regulatory model article.
Putamen dopamine synthesis, vesicular storage, and metabolism in Parkinson disease
2026 kinetic-analysis layer used for biomarker-to-parameter context.
The catecholaldehyde hypothesis: where MAO fits in
Review article motivating MAO, DOPAL, and oxidative-stress mechanisms.
Comparison of Monoamine Oxidase Inhibitors in Decreasing Production of DOPAL in PC12 Cells
Experimental context for MAO inhibition and DOPAL production.
Interpretation
Scenario curves are model projections from published equations and copied Stella source files. They are investigational outputs, not patient-specific medical conclusions.
Privacy
Do not enter names, dates of birth, medical record identifiers, contact information, or other personal health information. Inputs should be synthetic or de-identified research examples.
Simulation Specs
Variables
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Stock-Flow Diagram
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Flow Wiring
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Dependency Connectors
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