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Probabilistic pharmaceutical modelling: A comparison between synchronous and asynchronous cellular automata

Bezbradica, Marija orcid logoORCID: 0000-0001-9366-5113, Ruskin, Heather J. and Crane, Martin orcid logoORCID: 0000-0001-7598-3126 (2014) Probabilistic pharmaceutical modelling: A comparison between synchronous and asynchronous cellular automata. In: International Conference on Parallel Processing and Applied Mathematics, 8-11 Sep 2016, Warsaw, Poland.

Abstract
The field of pharmaceutical modelling has, in recent years, benefited from using probabilistic methods based on cellular automata, which seek to overcome some of the limitations of differential equation based models. By modelling discrete structural element interactions instead, these are able to provide data quality adequate for the early design phases in drug modelling. In relevant literature, both synchronous (CA) and asynchronous (ACA) types of automata have been used, without analysing their comparative impact on the model outputs. In this paper, we compare several variations of probabilistic CA and ACA update algorithms for building models of complex systems used in controlled drug delivery, analysing the advantages and disadvantages related to different modelling scenarios. Choosing the appropriate update mechanism, besides having an impact on the perceived realism of the simulation, also has practical benefits on the applicability of different model parallelisation algorithms and their performance when used in large-scale simulation contexts. © 2014 Springer-Verlag.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Complex modelling; Controlled drug delivery systems; Discrete systems; Parallel algorithms
Subjects:Medical Sciences > Pharmacology
Computer Science > Computational complexity
DCU Faculties and Centres:Research Initiatives and Centres > Scientific Computing and Complex Systems Modelling (Sci-Sym)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: PPAM 2013: Parallel Processing and Applied Mathematics. Lecture Notes in Computer Science (LNCS) 8685. Springer International Publishing.
Publisher:Springer International Publishing
Copyright Information:© Springer International Publishing
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:21692
Deposited On:30 Jan 2017 13:53 by Thomas Murtagh . Last Modified 19 Nov 2021 11:43
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