Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/11960
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Using process algebra to develop predator-prey models of within-host parasite dynamics
Authors: McCaig, Chris
Fenton, Andrew
Graham, Andrea
Shankland, Carron
Norman, Rachel
Contact Email: Carron.Shankland@cs.stir.ac.uk
Keywords: Immune system
Dynamics
Cellular interactions
WSCCS
Mathematical models
Ratiodependence
Issue Date: Jul-2013
Publisher: Elsevier
Citation: McCaig C, Fenton A, Graham A, Shankland C & Norman R (2013) Using process algebra to develop predator-prey models of within-host parasite dynamics, Journal of Theoretical Biology, 329, pp. 74-81.
Abstract: As a first approximation of immune-mediated within-host parasite dynamics we can consider the immune response as a predator, with the parasite as its prey. In the ecological literature of predator-prey interactions there are a number of different functional responses used to describe how a predator reproduces in response to consuming prey. Until recently most of the models of the immune system that have taken a predator-prey approach have used simple mass action dynamics to capture the interaction between the immune response and the parasite. More recently Fenton and Perkins (2010) employed three of the most commonly used functional response terms from the ecological literature. In this paper we make use of a technique from computing science, process algebra, to develop mathematical models. The novelty of the process algebra approach is to allow stochastic models of the population (parasite and immune cells) to be developed from rules of individual cell behaviour. By using this approach in which individual cellular behaviour is captured we have derived a ratio-dependent response similar to that seen in previous models of immune-mediated parasite dynamics, confirming that, whilst this type of term is controversial in ecological predator-prey models, it is appropriate for models of the immune system.
Type: Journal Article
URI: http://hdl.handle.net/1893/11960
DOI Link: http://dx.doi.org/10.1016/j.jtbi.2013.03.001
Rights: Published in Journal of Theoretical Biology, VOL 329 (2013) by Elsevier; Elsevier believes that individual authors should be able to distribute their accepted author manuscripts for their personal voluntary needs and interests, e.g. posting to their websites or their institution’s repository, e-mailing to colleagues. The Elsevier Policy is as follows: Authors retain the right to use the accepted author manuscript for personal use, internal institutional use and for permitted scholarly posting provided that these are not for purposes of commercial use or systematic distribution. An "accepted author manuscript" is the author’s version of the manuscript of an article that has been accepted for publication and which may include any author-incorporated changes suggested through the processes of submission processing, peer review, and editor-author communications.
Affiliation: University of Stirling
University of Liverpool
Princeton University
Computing Science - CSM Dept
Complex Systems

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