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Cited by 360

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Bacterial strategies of resistance to antimicrobial peptides

Open access
Joo, Hwang-Soo, Fu, Chih-Iung, Otto, Michael·2016·Philosophical Transactions of the Royal Society B: Biological Sciences

Abstract

Antimicrobial peptides (AMPs) are a key component of the host's innate immune system, targeting invasive and colonizing bacteria. For successful survival and colonization of the host, bacteria have a series of mechanisms to interfere with AMP activity, and AMP resistance is intimately connected with the virulence potential of bacterial pathogens. In particular, because AMPs are considered as potential novel antimicrobial drugs, it is vital to understand bacterial AMP resistance mechanisms. This review gives a comparative overview of Gram-positive and Gram-negative bacterial strategies of resistance to various AMPs, such as repulsion or sequestration by bacterial surface structures, alteration of membrane charge or fluidity, degradation and removal by efflux pumps. This article is part of the themed issue ‘Evolutionary ecology of arthropod antimicrobial peptides’.

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Crossref · 10.1098/rstb.2015.0292

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Metadata

Authors
Joo, H.-S., Fu, C.-I., & Otto, M.
Venue
Philosophical Transactions of the Royal Society B: Biological Sciences
Published
2016-05-26
Volume
371
Issue
1695
Pages
20150292
ISSN
  • 0962-8436 (ISSN-L)
  • 1471-2970
OpenAlex
W2345912746
Cited by
360
References
9
FWCI
22.91
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Bacterial strategies of resistance to antimicrobial peptides. https://app.cochat.ai/papers/10.1098/rstb.2015.0292
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Joo, H.-S., Fu, C.-I., & Otto, M. (2016). Bacterial strategies of resistance to antimicrobial peptides. Philosophical Transactions of the Royal Society B: Biological Sciences. https://doi.org/10.1098/rstb.2015.0292

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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.