A systems model of Parkinson’s disease using biochemical systems theory (Sasidharakurup et al. 2017)

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Major pathways involving in Parkinson's disease (PD) such as alphasynuclein aggregation, dopamine synthesis, lewy body formation, tau phosphorylation, parkin, and apoptosis were modeled using stochastic differential equations. Pathways were modeled and simulated using the biochemical pathway visualization program CellDesigner, a modeling tool for gene-regulatory and biochemical networks that support graphical notation and listing of symbols. The model allows a qualitative analysis of PD and a key signalling pathways for evaluating PD treatment conditions relating pathophysiology to molecular concentration changes recorded in experiments.
1 . Sasidharakurup H, Melethadathil N, Nair B, Diwakar S (2017) A Systems Model of Parkinson's Disease Using Biochemical Systems Theory. OMICS 21:454-464 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Molecular Network;
Brain Region(s)/Organism: Generic;
Cell Type(s):
Gap Junctions:
Transmitter(s): Dopamine;
Simulation Environment: CellDesigner;
Model Concept(s): Signaling pathways; Pathophysiology; Parkinson's;
Implementer(s): Sasidharakurup, Hemalatha [hemalathas at am.amrita.edu]; Diwakar, Shyam [shyam at amrita.edu];
Search NeuronDB for information about:  Dopamine;
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