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Antimicrobial peptides (AMPs) as drug candidates: a patent review (2003–2015)

Kosikowska, Paulina, Lesner, Adam·2016·Expert Opinion on Therapeutic Patents

Abstract

INTRODUCTION: Antimicrobial peptides (AMPs) represent the large group of endogenous compounds widely distributed in nature. Due to their broad spectrum of antibiotic activity, as well as anti-inflammatory and immunomodulatory properties, AMPs became a model for the discovery of novel antimicrobial drugs that could answer the problem of the increasing antibiotic resistance of pathogenic microorganisms. AREAS COVERED: The review represents a comprehensive analysis of patents and patent applications from the year 2003 to 2015 referring to the therapeutic use of AMPs. The article highlights the general trends in the design, potential mode of action, and methods of biological evaluation of AMPs. EXPERT OPINION: The existing discord between the upcoming list of antimicrobial peptides claimed in the patents or related scientific articles as the potent drug candidates and the frequent failures of AMPs in clinical trials emphasize the need of a better understanding of their pleiotropic nature and mechanisms of host defense in general. Nevertheless, the encouraging examples of AMPs already introduced into the market, like Polymyxin or Fuzeon®, give some reason for optimism that development of AMPs as a novel class of antibiotics is still considered viable.

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Metadata

Authors
Kosikowska, P., & Lesner, A.
Venue
Expert Opinion on Therapeutic Patents
Published
2016-04-22
Volume
26
Issue
6
Pages
689-702
ISSN
  • 1354-3776 (ISSN-L)
  • 1744-7674
OpenAlex
W2331308278
Cited by
165
References
0
FWCI
18.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Antimicrobial peptides (AMPs) as drug candidates: a patent review (2003–2015). https://app.cochat.ai/papers/10.1080/13543776.2016.1176149
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Kosikowska, P., & Lesner, A. (2016). Antimicrobial peptides (AMPs) as drug candidates: a patent review (2003–2015). Expert Opinion on Therapeutic Patents. https://doi.org/10.1080/13543776.2016.1176149

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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