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Cited by 365

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Clinical Development of Cationic Antimicrobial Peptides: From Natural to Novel Antibiotics

Hancock, R., Patrzykat, A.·2002·Current Drug Target -Infectious Disorders

Abstract

Over the past decade, levels of bacterial resistance to antibiotics have risen dramatically and ”superbugs“ resistant to most or all available agents have appeared in the clinic. Thus there is a growing need to discover and introduce new drugs. One potential source of novel antibiotics is the cationic antimicrobial peptides, which have been isolated from most living entities as components of their non-specific defenses against infectious organisms. Based on these natural templates, scores of structurally diverse antimicrobial cationic peptides have been designed, manufactured both chemically and biologically, and tested for activity against specific pathogens. A few of these peptide antibiotics have entered clinical trials to date, with mixed success. However, their diverse portfolio of structures, activity spectra, biological activities, and modes of action, provide substantial potential. Keywords: Cationic Antimicrobial Peptides, Cationic peptides, Antibiotics, Burkholderia, COMBINATORIAL LIBRARIES, Lipopolysaccharide, Methicillin resistant Staphylococcus aureus, Vancomycin resistant Entrococcus

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Metadata

Authors
Hancock, R., & Patrzykat, A.
Venue
Current Drug Target -Infectious Disorders
Published
2002-03-01
Volume
2
Issue
1
Pages
79-83
ISSN
1568-0053 (ISSN-L)
OpenAlex
W2166290770
Cited by
365
References
0
FWCI
7.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Clinical Development of Cationic Antimicrobial Peptides: From Natural to Novel Antibiotics. https://app.cochat.ai/papers/10.2174/1568005024605855
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Hancock, R., & Patrzykat, A. (2002). Clinical Development of Cationic Antimicrobial Peptides: From Natural to Novel Antibiotics. Current Drug Target -Infectious Disorders. https://doi.org/10.2174/1568005024605855

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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.