Using Chemical Reaction Kinetics to Predict Optimal Antibiotic Treatment Strategies.

ABSTRACT: Identifying optimal dosing of antibiotics has proven challenging-some antibiotics are most effective when they are administered periodically at high doses, while others work best when minimizing concentration fluctuations. Mechanistic explanations for why antibiotics differ in their optimal dosing are lacking, limiting our ability to predict optimal therapy and leading to long and costly experiments. We use mathematical models that describe both bacterial growth and intracellular antibiotic-target binding to investigate the effects of fluctuating antibiotic concentrations on individual bacterial cells and bacterial populations. We show that physicochemical parameters, e.g. the rate of drug transmembrane diffusion and the antibiotic-target complex half-life are sufficient to explain which t

SUBMITTER: Abel Zur Wiesch P 

PROVIDER: S-EPMC5257006 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature