Dynamics of HIV infection studied with cellular automata and conformon-P systems

David W. Corne; Pierluigi Frisco

doi:10.1016/j.biosystems.2007.01.007

Dynamics of HIV infection studied with cellular automata and conformon-P systems

David W. Corne, Pierluigi Frisco

Research output: Contribution to journal › Article › peer-review

23 Citations (Scopus)

Abstract

Recently a cellular automaton (CA) has been used to model the dynamics of HIV infection, with interesting results. We replicate and further test this model, and we introduce an alternative model based on conformon-P (cP) systems. We find (in common with other recently published comments) that the CA model is very sensitive to initial conditions and produces appropriate qualitative dynamics only for a narrow range of rule probabilities. In contrast, the cP system model is robust to a wide range of conditions and parameters, with more reproducible qualitative agreement to the overall dynamics and to the densities of healthy and infected cells observed in vivo. © 2007 Elsevier Ireland Ltd. All rights reserved.

Original language	English
Pages (from-to)	531-544
Number of pages	14
Journal	BioSystems
Volume	91
Issue number	3
DOIs	https://doi.org/10.1016/j.biosystems.2007.01.007
Publication status	Published - Mar 2008

Keywords

Cellular automata
Conformon-P systems
HIV infection
P systems
Virus-host interaction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.biosystems.2007.01.007

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title = "Dynamics of HIV infection studied with cellular automata and conformon-P systems",

abstract = "Recently a cellular automaton (CA) has been used to model the dynamics of HIV infection, with interesting results. We replicate and further test this model, and we introduce an alternative model based on conformon-P (cP) systems. We find (in common with other recently published comments) that the CA model is very sensitive to initial conditions and produces appropriate qualitative dynamics only for a narrow range of rule probabilities. In contrast, the cP system model is robust to a wide range of conditions and parameters, with more reproducible qualitative agreement to the overall dynamics and to the densities of healthy and infected cells observed in vivo. {\textcopyright} 2007 Elsevier Ireland Ltd. All rights reserved.",

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AU - Frisco, Pierluigi

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AB - Recently a cellular automaton (CA) has been used to model the dynamics of HIV infection, with interesting results. We replicate and further test this model, and we introduce an alternative model based on conformon-P (cP) systems. We find (in common with other recently published comments) that the CA model is very sensitive to initial conditions and produces appropriate qualitative dynamics only for a narrow range of rule probabilities. In contrast, the cP system model is robust to a wide range of conditions and parameters, with more reproducible qualitative agreement to the overall dynamics and to the densities of healthy and infected cells observed in vivo. © 2007 Elsevier Ireland Ltd. All rights reserved.

KW - Cellular automata

KW - Conformon-P systems

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KW - P systems

KW - Virus-host interaction

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ER -

Dynamics of HIV infection studied with cellular automata and conformon-P systems

Abstract

Keywords

UN SDGs

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