Stochastic process algebra modeling of APP processing influenced by SORLA in Alzheimer's disease
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 straightforwa...
Saved in:
| Main Author: | |
|---|---|
| Format: | text |
| Published: |
Animo Repository
2014
|
| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/7437 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | De La Salle University |
| Summary: | 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. |
|---|