Using probabilistic strategies to formalize and compare alpha-synuclein aggregation and propagation under different scenarios

Lucian Bentea, Peter Csaba Olveczky, Eduard-Mihai Bentea

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

We use PSMaude to define a formal real-time model of the aggregation and interneuronal propagation of the a-synuclein (a-syn) protein causing Parkinson's disease (PD). To the best of our knowledge, this is the first executable formal model of the propagation of a-syn aggregates through a neural network that is dynamically changing as a consequence of neuronal death. We then define different probabilistic strategies on top of our model to formalize the aggregation and propagation of a-syn in three different scenarios: (i) in a healthy person, (ii) in a person predisposed to PD, and (iii) in a predisposed person that is given some treatment with rapamycin. We use PSMaude to simulate our model in these different scenarios.
Original languageEnglish
Title of host publicationLecture Notes in Bioinformatics
PublisherSpringer
Pages92-105
Number of pages14
Volume8130
ISBN (Print)978-3-642-40707-9
Publication statusPublished - 22 Sep 2013
Event11th Conference on Computational Methods in Systems Biology - Klosterneuburg, Austria
Duration: 22 Sep 201324 Sep 2013

Publication series

NameProceedings for the 11th Conference on Computational Methods in Systems Biology, 22-24 September 2013, Klosterneuburg, Austria

Conference

Conference11th Conference on Computational Methods in Systems Biology
CountryAustria
CityKlosterneuburg
Period22/09/1324/09/13

Keywords

  • Parkinson's disease
  • in silico
  • synuclein
  • PSMaude

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