ArticlePhysical biology2016
Antibiotic resistance: a physicist's view.
Article in Physical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- A biocompatible double-crosslinked gelatin/ sodium alginate/dopamine/quaterniazed chitosan hydrogel for wound dressings based on 3D bioprinting technology.International journal of bioprinting · 2023Article
- High-order correlations in species interactions lead to complex diversity-stability relationships for ecosystems.Physical review. E · 2022Article
- Conjugation of Gentamicin to Polyamidoamine Dendrimers Improved Anti-bacterial Properties againstAdvanced pharmaceutical bulletin · 2021Article
- Activity of β-Lactam Antibiotics against Metallo-β-Lactamase-ProducingAntimicrobial agents and chemotherapy · 2021Review
- Emergent robustness of bacterial quorum sensing in fluid flow.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Phenotypic delay in the evolution of bacterial antibiotic resistance: Mechanistic models and their implications.PLoS computational biology · 2020Article
- The Open Challenge ofFrontiers in bioengineering and biotechnology · 2020Review
- Power-law tail in lag time distribution underlies bacterial persistence.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Epistasis between antibiotic tolerance, persistence, and resistance mutations.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Theoretical investigation of stochastic clearance of bacteria: first-passage analysis.Journal of the Royal Society, Interface · 2019Article
- Bacterial growth: a statistical physicist's guide.Reports on progress in physics. Physical Society (Great Britain) · 2019Review
- Quantitative modelling of nutrient-limited growth of bacterial colonies in microfluidic cultivation.Journal of the Royal Society, Interface · 2018Article
- Predicting the dynamics of bacterial growth inhibition by ribosome-targeting antibiotics.Physical biology · 2017Article
- Convection shapes the trade-off between antibiotic efficacy and the selection for resistance in spatial gradients.Physical biology · 2017Article
- The finite state projection approach to analyze dynamics of heterogeneous populations.Physical biology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The problem of antibiotic resistance poses challenges across many disciplines. One such challenge is to understand the fundamental science of how antibiotics work, and how resistance to them can emerge. This is an area where physicists can make important contributions. Here, we highlight cases where this is already happening, and suggest directions for further physics involvement in antimicrobial research.
Indexed as
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What OpenQuestion holds
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.