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Cited by 258

The DOI matches its Crossref record; 219 of the 219 references it cites were found in a registry or an index.

Antimicrobial peptides – Advances in development of therapeutic applications

Open access
Luong, Huy Xuan, Thanh, Tung Truong, Tran, Tuan Hiep·2020·Life Sciences

Abstract

The severe infection is becoming a significant health problem which threaten the lives of patients and the safety and economy of society. In the way of finding new strategy, antimicrobial peptides (AMPs) - an important part of host defense family, emerged with tremendous potential. Up to date, huge numbers of AMPs has been investigated from both natural and synthetic sources showing not only the ability to kill microbial pathogens but also propose other benefits such as wound healing, anti-tumor, immune modulation. In this review, we describe the involvements of AMPs in biological systems and discuss the opportunity in developing AMPs for clinical applications. In the detail, their properties in antibacterial activity is followed by their application in some infection diseases and cancer. The key discussions are the approaches to improve biological activities of AMPs either by modifying chemical structure or incorporating into delivery systems. The new applications and perspectives for the future of AMPs would open the new era of their development.

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Crossref · 10.1016/j.lfs.2020.118407

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Metadata

Authors
Luong, H. X., Thanh, T. T., & Tran, T. H.
Venue
Life Sciences
Publisher
Elsevier BV
Published
2020-11
Volume
260
Pages
118407
ISSN
0024-3205 (ISSN-L)
OpenAlex
W3084710769
Cited by
258
References
219
FWCI
16.11
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Antimicrobial peptides – Advances in development of therapeutic applications. https://app.cochat.ai/papers/10.1016/j.lfs.2020.118407
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Luong, H. X., Thanh, T. T., & Tran, T. H. (2020). Antimicrobial peptides – Advances in development of therapeutic applications. Life Sciences. https://doi.org/10.1016/j.lfs.2020.118407

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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.