ArticlePhysical biology2017
Predicting the dynamics of bacterial growth inhibition by ribosome-targeting antibiotics.
Article in Physical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Probing Antibiotic Inhibition in Small Bacterial Populations With Combinatorial Droplet Microfluidics.Small science · 2026Article
- Heterogeneity in responses to ribosome-targeting antibiotics mediated by bacterial RNA repair.Nature communications · 2025Article
- Using stochastic cellular automata to model and define sufficient conditions for the survival of Enterococcus faecalis biofilms with the pCF10 plasmid under erythromycin treatment.PLoS computational biology · 2025Article
- A mismatch between slow protein synthesis and fast environmental fluctuations determines tradeoffs in bacterial proteome allocation strategies.bioRxiv : the preprint server for biology · 2025Article
- Drug delivery dynamics dictate evolution of bacterial antibiotic responses.The ISME journal · 2025Article
- L-serine-O-sulfate alters cellular ultrastructure and mitigates the capacity of biofilm formation inCurrent research in microbial sciences · 2025Article
- Dynamics of drug delivery determines course of evolution of antibiotic responses in bacteria.bioRxiv : the preprint server for biology · 2024Article
- Cellular resource allocation strategies for cell size and shape control in bacteria.The FEBS journal · 2022Review
- Covalent Organic Framework/Polyacrylonitrile Electrospun Nanofiber for Dispersive Solid-Phase Extraction of Trace Quinolones in Food Samples.Nanomaterials (Basel, Switzerland) · 2022Article
- Dynamic proteome allocation regulates the profile of interaction of auxotrophic bacterial consortia.Royal Society open science · 2022Article
- Capillary Zone Electrophoresis in Tandem with Flow Cytometry in Viability Study of Various ATCC Bacterial Strains under Antibiotic Treatment.International journal of environmental research and public health · 2022Article
- Memory shapes microbial populations.PLoS computational biology · 2021Article
- Metabolic fitness landscapes predict the evolution of antibiotic resistance.Nature ecology & evolution · 2021Article
- Bacterial Targets of Antibiotics in Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2021Review
- Minimal biophysical model of combined antibiotic action.PLoS computational biology · 2021Article
- Weakest-Link Dynamics Predict Apparent Antibiotic Interactions in a Model Cross-Feeding Community.Antimicrobial agents and chemotherapy · 2020Article
- A Roadblock-and-Kill Mechanism of Action Model for the DNA-Targeting Antibiotic Ciprofloxacin.Antimicrobial agents and chemotherapy · 2020Article
- Antibiotics targeting bacterial ribosomal subunit biogenesis.The Journal of antimicrobial chemotherapy · 2020Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Understanding how antibiotics inhibit bacteria can help to reduce antibiotic use and hence avoid antimicrobial resistance-yet few theoretical models exist for bacterial growth inhibition by a clinically relevant antibiotic treatment regimen. In particular, in the clinic, antibiotic treatment is time-dependent. Here, we use a theoretical model, previously applied to steady-state bacterial growth, to predict the dynamical response of a bacterial cell to a time-dependent dose of ribosome-targeting antibiotic. Our results depend strongly on whether the antibiotic shows reversible transport and/or low-affinity ribosome binding ('low-affinity antibiotic') or, in contrast, irreversible transport and/or high affinity ribosome binding ('high-affinity antibiotic'). For low-affinity antibiotics, our model predicts that growth inhibition depends on the duration of the antibiotic pulse, and can show a transient period of very fast growth following removal of the antibiotic. For high-affinity antibiotics, growth inhibition depends on peak dosage rather than dose duration, and the model predicts a pronounced post-antibiotic effect, due to hysteresis, in which growth can be suppressed for long times after the antibiotic dose has ended. These predictions are experimentally testable and may be of clinical significance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.