title: Modeling Bacterial Infection Phenomena.
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.
authors.affiliation: Institute for Structural Biology, Drug Discovery and Development, Life Sciences, Virginia Commonwealth University, Richmond, VA, 23298, USA. lbkier@vcu.edu.
authors.forename: Lemont B
authors.initials: LB
authors.lastname: Kier
mesh_terms: D000900:Anti-Bacterial Agents / Q000494:pharmacology*; D001419:Bacteria / Q000276:immunology*; D001424:Bacterial Infections / Q000276:immunology*; D003198:Computer Simulation; D004352:Drug Resistance, Microbial; D006801:Humans; D007107:Immune System / Q000276:immunology / Q000382:microbiology; D018448:Models, Immunological
chemical_list: D000900:Anti-Bacterial Agents