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Cited by 549

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

Alternative mechanisms of action of cationic antimicrobial peptides on bacteria

Hale, John DF, Hancock, Robert EW·2007·Expert Review of Anti-infective Therapy

Abstract

Cationic antimicrobial peptides are a novel type of antibiotic offering much potential in the treatment of microbial-related diseases. They offer many advantages for commercial development, including a broad spectrum of action and modest size. However, despite the identification or synthetic production of thousands of such peptides, the mode of action remains elusive, except for a few examples. While the dogma for the mechanism of action of antimicrobial peptides against bacteria is believed to be through pore formation or membrane barrier disruption, some peptides clearly act differently and other intracellular target sites have been identified. This article presents an updated review of how cationic antimicrobial peptides are able to affect bacterial killing, with a focus on internal targets.

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Crossref · 10.1586/14787210.5.6.951

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Metadata

Authors
Hale, J. D., & Hancock, R. E.
Venue
Expert Review of Anti-infective Therapy
Published
2007-12
Volume
5
Issue
6
Pages
951-959
ISSN
  • 1478-7210 (ISSN-L)
  • 1744-8336
OpenAlex
W2077491098
Cited by
549
References
64
FWCI
19.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Alternative mechanisms of action of cationic antimicrobial peptides on bacteria. https://app.cochat.ai/papers/10.1586/14787210.5.6.951
The paper
Hale, J. D., & Hancock, R. E. (2007). Alternative mechanisms of action of cationic antimicrobial peptides on bacteria. Expert Review of Anti-infective Therapy. https://doi.org/10.1586/14787210.5.6.951

Data sources

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.