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The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Tetracycline Antibiotics and Resistance

Open access
Grossman, Trudy H.·2016·Cold Spring Harbor Perspectives in Medicine

Abstract

Tetracyclines possess many properties considered ideal for antibiotic drugs, including activity against Gram-positive and -negative pathogens, proven clinical safety, acceptable tolerability, and the availability of intravenous (IV) and oral formulations for most members of the class. As with all antibiotic classes, the antimicrobial activities of tetracyclines are subject to both class-specific and intrinsic antibiotic-resistance mechanisms. Since the discovery of the first tetracyclines more than 60 years ago, ongoing optimization of the core scaffold has produced tetracyclines in clinical use and development that are capable of thwarting many of these resistance mechanisms. New chemistry approaches have enabled the creation of synthetic derivatives with improved in vitro potency and in vivo efficacy, ensuring that the full potential of the class can be explored for use against current and emerging multidrug-resistant (MDR) pathogens, including carbapenem-resistant Enterobacteriaceae, MDR Acinetobacter species, and Pseudomonas aeruginosa.

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Metadata

Authors
Grossman, T. H.
Venue
Cold Spring Harbor Perspectives in Medicine
Published
2016-03-17
Volume
6
Issue
4
Pages
a025387
ISSN
2157-1422 (ISSN-L)
OpenAlex
W2298318901
Cited by
725
References
13
Type
posted content
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Tetracycline Antibiotics and Resistance. https://app.cochat.ai/papers/10.1101/cshperspect.a025387
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Grossman, T. H. (2016). Tetracycline Antibiotics and Resistance. Cold Spring Harbor Perspectives in Medicine. https://doi.org/10.1101/cshperspect.a025387

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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.