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Antimicrobial Peptides: An Emerging Category of Therapeutic Agents

Open access
Mahlapuu, Margit, Håkansson, Joakim, Ringstad, Lovisa, Björn, Camilla·2016·Frontiers in Cellular and Infection Microbiology

Abstract

Antimicrobial peptides (AMPs), also known as host defense peptides, are short and generally positively charged peptides found in a wide variety of life forms from microorganisms to humans. Most AMPs have the ability to kill microbial pathogens directly, whereas others act indirectly by modulating the host defense systems. Against a background of rapidly increasing resistance development to conventional antibiotics all over the world, efforts to bring AMPs into clinical use are accelerating. Several AMPs are currently being evaluated in clinical trials as novel anti-infectives, but also as new pharmacological agents to modulate the immune response, promote wound healing, and prevent post-surgical adhesions. In this review, we provide an overview of the biological role, classification, and mode of action of AMPs, discuss the opportunities and challenges to develop these peptides for clinical applications, and review the innovative formulation strategies for application of AMPs.

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Metadata

Authors
Mahlapuu, M., Håkansson, J., Ringstad, L., & Björn, C.
Venue
Frontiers in Cellular and Infection Microbiology
Published
2016-12-27
Volume
6
Pages
194-194
ISSN
2235-2988 (ISSN-L)
OpenAlex
W2562261325
Cited by
1,927
References
7
FWCI
88.25
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Antimicrobial Peptides: An Emerging Category of Therapeutic Agents. https://app.cochat.ai/papers/10.3389/fcimb.2016.00194
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Mahlapuu, M., Håkansson, J., Ringstad, L., & Björn, C. (2016). Antimicrobial Peptides: An Emerging Category of Therapeutic Agents. Frontiers in Cellular and Infection Microbiology. https://doi.org/10.3389/fcimb.2016.00194

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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.