Population Density Modulates Drug Inhibition and Gives Rise to Potential Bistability of Treatment Outcomes for Bacterial Infections
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Abstract
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DOI: 10.1371/journal.pcbi.1005098
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References listed on IDEAS
- Joseph Peter Torella & Remy Chait & Roy Kishony, 2010. "Optimal Drug Synergy in Antimicrobial Treatments," PLOS Computational Biology, Public Library of Science, vol. 6(6), pages 1-9, June.
- Troy Day & Andrew F Read, 2016. "Does High-Dose Antimicrobial Chemotherapy Prevent the Evolution of Resistance?," PLOS Computational Biology, Public Library of Science, vol. 12(1), pages 1-20, January.
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Cited by:
- Jeff Maltas & Kevin B Wood, 2019. "Pervasive and diverse collateral sensitivity profiles inform optimal strategies to limit antibiotic resistance," PLOS Biology, Public Library of Science, vol. 17(10), pages 1-34, October.
- Elsa Hansen & Jason Karslake & Robert J Woods & Andrew F Read & Kevin B Wood, 2020. "Antibiotics can be used to contain drug-resistant bacteria by maintaining sufficiently large sensitive populations," PLOS Biology, Public Library of Science, vol. 18(5), pages 1-20, May.
- Neythen J Treloar & Alex J H Fedorec & Brian Ingalls & Chris P Barnes, 2020. "Deep reinforcement learning for the control of microbial co-cultures in bioreactors," PLOS Computational Biology, Public Library of Science, vol. 16(4), pages 1-18, April.
- Andy Hoyle & David Cairns & Iona Paterson & Stuart McMillan & Gabriela Ochoa & Andrew P Desbois, 2020. "Optimising efficacy of antibiotics against systemic infection by varying dosage quantities and times," PLOS Computational Biology, Public Library of Science, vol. 16(8), pages 1-20, August.
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