The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Multitarget Approaches against Multiresistant Superbugs
Open accessAbstract
Despite efforts to develop new antibiotics, antibacterial resistance still develops too fast for drug discovery to keep pace. Often, resistance against a new drug develops even before it reaches the market. This continued resistance crisis has demonstrated that resistance to antibiotics with single protein targets develops too rapidly to be sustainable. Most successful long-established antibiotics target more than one molecule or possess targets, which are encoded by multiple genes. This realization has motivated a change in antibiotic development toward drug candidates with multiple targets. Some mechanisms of action presuppose multiple targets or at least multiple effects, such as targeting the cytoplasmic membrane or the carrier molecule bactoprenol phosphate and are therefore particularly promising. Moreover, combination therapy approaches are being developed to break antibiotic resistance or to sensitize bacteria to antibiotic action. In this Review, we provide an overview of antibacterial multitarget approaches and the mechanisms behind them.
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Cited by
Progress in Alternative Strategies to Combat Antimicrobial Resistance: Focus on Antibiotics
Murugaiyan, J., Kumar, P. A., Rao, G. S., Iskandar, K., Hawser, S., Hays, J. P., Mohsen, Y., Adukkadukkam, S., Awuah, W. A., Jose, R. A. M., et al. (2022) · Antibiotics · doi:10.3390/antibiotics11020200 · Cited by 567
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Baaloudj, O., Assadi, I., Nasrallah, N., El Jery, A., Khezami, L., & Assadi, A. A. (2021) · Journal of Water Process Engineering · doi:10.1016/j.jwpe.2021.102089 · Cited by 381
Benchmarking reverse docking through AlphaFold2 human proteome
(2024) · doi:10.1002/pro.5167 · Cited by 14
Metadata
- Authors
- Gray, D. A., & Wenzel, M.
- Venue
- ACS Infectious Diseases
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-03-10
- Volume
- 6
- Issue
- 6
- Pages
- 1346-1365
- ISSN
- 2373-8227 (ISSN-L)
- OpenAlex
- W3011704511
- Cited by
- 179
- References
- 8
- FWCI
- 7.02
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.