A data-based mathematical modelling study to quantify the effects of ciprofloxacin and ampicillin on the within-host dynamics of
bacterial persistence
data-based model
heterogeneity
isogenic tagged strains
mechanistic model
model selection
Journal
Journal of the Royal Society, Interface
ISSN: 1742-5662
Titre abrégé: J R Soc Interface
Pays: England
ID NLM: 101217269
Informations de publication
Date de publication:
07 2020
07 2020
Historique:
entrez:
8
7
2020
pubmed:
8
7
2020
medline:
22
6
2021
Statut:
ppublish
Résumé
Antibiotic therapy has drastically reduced the mortality and sequelae of bacterial infections. From naturally occurring to chemically synthesized, different classes of antibiotics have been successfully used without detailed knowledge of how they affect bacterial dynamics
Identifiants
pubmed: 32634369
doi: 10.1098/rsif.2020.0299
pmc: PMC7423434
doi:
Substances chimiques
Anti-Bacterial Agents
0
Ciprofloxacin
5E8K9I0O4U
Ampicillin
7C782967RD
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
20200299Subventions
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/M020193
Pays : United Kingdom
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