Stochastic process algebra modeling of APP processing influenced by SORLA in Alzheimer's disease

• Main Author: Lao, Angelyn R.
• Format: text
• Published: Animo Repository 2014
• Subjects: Amyloid beta-protein precursor—Mathematical models; Alzheimer's disease; Other Mathematics
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/7437
• Institution: De La Salle University

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.