Stochastic process algebra modeling of APP processing influenced by SORLA in Alzheimer's disease
College
College of Science
Department/Unit
Mathematics and Statistics Department
Document Type
Conference Proceeding
Source Title
2014 Mathematical Society of the Philippines Annual Convention
Publication Date
2014
Abstract
Alzheimer's disease (AD) is a fatal neurodegenerative disorder caused by the formation of neurotoxic beta-amyloid (Aβ) peptides, resulting from the proteolytic breakdown of amyloid precursor protein (APP) by secretases. In this study, I use stochastic process algebra (SPA), a more straightforward approach in modelling system with compartmental components, to model the processing of APP influenced by SORLA, a neuraI sorting receptor. I have shown that the expressivity of the SPA-based model at the biochemical level is comparable to the ODE-based compartmental model that I developed earlier for APP processing. However, to determine if SPA can be used as an alternative to compartmental modeling, I have to evaluate the behaviour and predictive power of SPA using SPiM and MATLAB.
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Recommended Citation
Lao, A. R. (2014). Stochastic process algebra modeling of APP processing influenced by SORLA in Alzheimer's disease. 2014 Mathematical Society of the Philippines Annual Convention Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/7437
Disciplines
Other Mathematics
Keywords
Amyloid beta-protein precursor—Mathematical models; Alzheimer's disease
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