The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Collapsing the Proton Motive Force to Identify Synergistic Combinations against Staphylococcus aureus
Open accessAbstract
Pathways of bacterial energy metabolism, such as the proton motive force (PMF), have largely remained unexplored as drug targets, owing to toxicity concerns. Here, we elaborate on a methodical and systematic approach for targeting the PMF using chemical combinations. We began with a high-throughput screen to identify molecules that selectively dissipate either component of the PMF, ΔΨ or ΔpH, in Staphylococcus aureus. We uncovered six perturbants of PMF, three that countered ΔΨ and three that selectively dissipated ΔpH. Combinations of dissipators of ΔΨ with dissipators of ΔpH were highly synergistic against methicillin-resistant S. aureus. Cytotoxicity analyses on mammalian cells revealed that the dose-sparing effect of the observed synergies could significantly reduce toxicity. The discovery and combination of modulators of ΔΨ and ΔpH may represent a promising strategy for combating microbial pathogens.
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Zhang, J.-H., Chung, T. D. Y., & Oldenburg, K. R. (1999) · SLAS Discovery · doi:10.1177/108705719900400206 · Cited by 6,847
CHEMIOSMOTIC COUPLING IN OXIDATIVE AND PHOTOSYNTHETIC PHOSPHORYLATION
MITCHELL, P. (1966) · Biological Reviews · doi:10.1111/j.1469-185x.1966.tb01501.x · Cited by 3,663
Persister cells, dormancy and infectious disease
Lewis, K. (2007) · Nature Reviews Microbiology · doi:10.1038/nrmicro1557 · Cited by 2,052
Challenges of Antibacterial Discovery
Silver, L. L. (2011) · Clinical Microbiology Reviews · doi:10.1128/cmr.00030-10 · Cited by 1,376
Regulation of cytoplasmic pH in bacteria
Booth, I. R. (1985) · Microbiological Reviews · doi:10.1128/mmbr.49.4.359-378.1985 · Cited by 1,200
Proton-dependent multidrug efflux systems
Paulsen, I. T., Brown, M. H., & Skurray, R. A. (1996) · Microbiological Reviews · doi:10.1128/mmbr.60.4.575-608.1996 · Cited by 1,198
Hurdle, J. G., O'Neill, A. J., Chopra, I., & Lee, R. E. (2011) · Nature Reviews Microbiology · doi:10.1038/nrmicro2474 · Cited by 871
Mechanisms of Action of Carvacrol on the Food-Borne Pathogen Bacillus cereus
Ultee, A., Kets, E. P. W., & Smid, E. J. (1999) · Applied and Environmental Microbiology · doi:10.1128/aem.65.10.4606-4610.1999 · Cited by 781
Multicomponent therapeutics for networked systems
Keith, C. T., Borisy, A. A., & Stockwell, B. R. (2005) · Nature Reviews Drug Discovery · doi:10.1038/nrd1609 · Cited by 769
Wu, M., Maier, E., Benz, R., & Hancock, R. E. W. (1999) · Biochemistry · doi:10.1021/bi9826299 · Cited by 736
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A Deep Learning Approach to Antibiotic Discovery
Stokes, J. M., Yang, K., Swanson, K., Jin, W., Cubillos-Ruiz, A., Donghia, N. M., MacNair, C. R., French, S., Carfrae, L. A., Bloom-Ackermann, Z., et al. (2020) · Cell · doi:10.1016/j.cell.2020.01.021 · Cited by 2,463
Self-citationDiscovery of a structural class of antibiotics with explainable deep learning
Wong, F., Zheng, E. J., Valeri, J. A., Donghia, N. M., Anahtar, M. N., Omori, S., Li, A., Cubillos-Ruiz, A., Krishnan, A., Jin, W., et al. (2024) · Nature · doi:10.1038/s41586-023-06887-8 · Cited by 458
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Metadata
- Authors
- Farha, M. A., Verschoor, C. P., Bowdish, D., & Brown, E. D.
- Venue
- Chemistry & Biology
- Publisher
- Elsevier BV
- Published
- 2013-09
- Volume
- 20
- Issue
- 9
- Pages
- 1168-1178
- ISSN
- 1074-5521 (ISSN-L)
- OpenAlex
- W2042039195
- Cited by
- 278
- References
- 43
- FWCI
- 3.84
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Farha, M. A., Verschoor, C. P., Bowdish, D., & Brown, E. D. (2013). Collapsing the Proton Motive Force to Identify Synergistic Combinations against Staphylococcus aureus. Chemistry & Biology. https://doi.org/10.1016/j.chembiol.2013.07.006
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
