Abstract
A series of cellular automata models of bacteria were created, where encounters with models of the immune system and a model of an antibiotic drug were present. The dose of the antibiotic, its potency and the timeliness of its administration were variables. The emergence of antibiotic resistance by the bacteria was an outcome associated with the administration of the drug. The models created in these studies were found to closely relate to clinical experiences, making the general model useful for further simulation studies.
Keywords: Bacteria, cellular automata, immunity effect, antibiotics.
Current Computer-Aided Drug Design
Title:Modeling Bacterial Infection Phenomena
Volume: 11 Issue: 4
Author(s): Lemont B. Kier
Affiliation:
Keywords: Bacteria, cellular automata, immunity effect, antibiotics.
Abstract: A series of cellular automata models of bacteria were created, where encounters with models of the immune system and a model of an antibiotic drug were present. The dose of the antibiotic, its potency and the timeliness of its administration were variables. The emergence of antibiotic resistance by the bacteria was an outcome associated with the administration of the drug. The models created in these studies were found to closely relate to clinical experiences, making the general model useful for further simulation studies.
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Cite this article as:
Kier B. Lemont, Modeling Bacterial Infection Phenomena, Current Computer-Aided Drug Design 2015; 11(4) . https://dx.doi.org/10.2174/1573409912666151218155921
DOI https://dx.doi.org/10.2174/1573409912666151218155921 |
Print ISSN 1573-4099 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6697 |

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