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Cited by 299

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

Host defense antimicrobial peptides as antibiotics: design and application strategies

Open access
Mishra, Biswajit, Reiling, Scott, Zarena, D, Wang, Guangshun·2017·Current Opinion in Chemical Biology

Abstract

This review deals with the design and application strategies of new antibiotics based on naturally occurring antimicrobial peptides (AMPs). The initial candidate can be designed based on three-dimensional structure or selected from a library of peptides from natural or laboratory sources followed by optimization via structure-activity relationship studies. There are also advanced application strategies such as induction of AMP expression from host cells by various factors (e.g., metals, amino acids, vitamin D and sunlight), the use of engineered probiotic bacteria to deliver peptides, the design of prodrug and peptide conjugates to improve specific targeting. In addition, combined uses of newly developed AMPs with existing antimicrobial agents may provide a practical avenue for effective management of antibiotic-resistant bacteria (superbugs, including biofilm). Finally, we highlight AMPs already in use or under clinical trials.

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Crossref · 10.1016/j.cbpa.2017.03.014

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Metadata

Authors
Mishra, B., Reiling, S., Zarena, D., & Wang, G.
Venue
Current Opinion in Chemical Biology
Publisher
Elsevier BV
Published
2017-06
Volume
38
Pages
87-96
ISSN
1367-5931 (ISSN-L)
OpenAlex
W2604779599
Cited by
299
References
77
FWCI
7.19
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Host defense antimicrobial peptides as antibiotics: design and application strategies. https://app.cochat.ai/papers/10.1016/j.cbpa.2017.03.014
The paper
Mishra, B., Reiling, S., Zarena, D., & Wang, G. (2017). Host defense antimicrobial peptides as antibiotics: design and application strategies. Current Opinion in Chemical Biology. https://doi.org/10.1016/j.cbpa.2017.03.014

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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.