How antibiotics kill bacteria: from targets to networks

By Michael A. Kohanski, Daniel J. Dwyer, James J. Collins. Nature Reviews Microbiology, 2010

2,170 citations recorded by the source corpus.

Antibiotic drug–target interactions, and their respective direct effects, are generally well characterized. By contrast, the bacterial responses to antibiotic drug treatments that contribute to cell death are not as well understood and have proven to be complex as they involve many genetic and biochemical pathways. In this Review, we discuss the multilayered effects of drug–target interactions, including the essential cellular processes that are inhibited by bactericidal antibiotics and the associated cellular response mechanisms that contribute to killing. We also discuss new insights into these mechanisms that have been revealed through the study of biological networks, and describe how these insights, together with related developments in synthetic biology, could be exploited to create new antibacterial therapies.

Subfields: Ecology, Molecular Medicine, Pharmacology

View Paper: https://www.semanticscholar.org/paper/866984b7ae7b851b7f0d585c51ef7bb30480e790

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Citations in the corpus

A Deep Learning Approach to Antibiotic Discovery. (2020, positive): “However, the number of bacterial phenotypes that could theoretically result in efficacious antibiotics is expansive (Farha and Brown, 2015; Kohanski et al., 2010), and so long as it is possible to gather a sufficient quantity of reproducible hit compounds from a primary screen, deep neural network a”
Statistical physics of vaccination (2016, background): “Antibiotics are a type of antimicrobial used in the treatment and prevention of bacterial infection, by killing or inhibiting the growth of bacteria [40].”
A white-box machine learning approach for revealing antibiotic mechanisms of action (2019, positive): “Although the primary targets and mechanisms of action for conventional antibiotics are well studied (Kohanski et al., 2010), there is growing appreciation that secondary processes, such as altered metabolism, actively participate in antibiotic efficacy (Yang et al.”
The threat of antimicrobial resistance in developing countries: causes and control strategies (2017, background): “On the other hand, even among the rich, some patients miss doses either by mistake or deliberate, especially in cases where signs and symptoms begin to subside after an initial favorable therapeutic response [21].”