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Cited by 495

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Antimicrobial Peptides: Successes, Challenges and Unanswered Questions

Open access
Wimley, William C., Hristova, Kalina·2011·The Journal of Membrane Biology

Abstract

Multidrug antibiotic resistance is an increasingly serious public health problem worldwide. Thus, there is a significant and urgent need for the development of new classes of antibiotics that do not induce resistance. To develop such antimicrobial compounds, we must look toward agents with novel mechanisms of action. Membrane-permeabilizing antimicrobial peptides (AMPs) are good candidates because they act without high specificity toward a protein target, which reduces the likelihood of induced resistance. Understanding the mechanism of membrane permeabilization is crucial for the development of AMPs into useful antimicrobial agents. Various models, some phenomenological and others more quantitative or semimolecular, have been proposed to explain the action of AMPs. While these models explain many aspects of AMP action, none of the models captures all of the experimental observations, and significant questions remain unanswered. Here, we discuss the state of the field and pose some questions that, if answered, could speed the discovery of clinically useful peptide antibiotics.

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Metadata

Authors
Wimley, W. C., & Hristova, K.
Venue
The Journal of Membrane Biology
Published
2011-01
Volume
239
Issue
1-2
Pages
27-34
ISSN
  • 0022-2631 (ISSN-L)
  • 1432-1424
OpenAlex
W2094389762
Cited by
495
References
1
FWCI
28.77
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Antimicrobial Peptides: Successes, Challenges and Unanswered Questions. https://app.cochat.ai/papers/10.1007/s00232-011-9343-0
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Wimley, W. C., & Hristova, K. (2011). Antimicrobial Peptides: Successes, Challenges and Unanswered Questions. The Journal of Membrane Biology. https://doi.org/10.1007/s00232-011-9343-0

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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.