Suppr超能文献

一篇强调七肽重复序列作为设计具有药理安全性的基于肽的抗生素工具的用途的综述。

A review emphasizing on utility of heptad repeat sequence as a tool to design pharmacologically safe peptide-based antibiotics.

机构信息

Department of Translational Medicine, Clinical Research Centre, Skåne University Hospital, Lund University, Malmö, Sweden; Interdisciplinary Cluster for Applied Genoproteomics (GIGA), University of Liège (ULiège), Liège, Belgium.

Department of Zoology, Sri Venkateswara College, University of Delhi, Delhi, India.

出版信息

Biochimie. 2021 Dec;191:126-139. doi: 10.1016/j.biochi.2021.09.001. Epub 2021 Sep 4.

Abstract

Extensive usage of antibiotics has created an unprecedented scenario of the rapid emergence of many drug-resistant bacteria, which has become an alarming public health concern around the globe. Search for better alternatives that are as efficacious as antibiotics led to the discovery of antimicrobial peptides (AMPs). These small cationic amphiphilic peptides have emerged as a promising option as antimicrobial agents, owing to their multifaceted implications against varied pathogens. Recent years have witnessed tremendous growth in research on AMPs resulting in them being tested in clinical trials of which six got approved for topical application. The relatively less successful outcome has been attributed to the poor cell selectivity shown by most of the naturally occurring AMPs. This drawback needs to be circumvented by identifying strategies to design safe and effective peptides. In the present review, we have emphasized the importance of heptad repeat sequence (leucine and/or phenylalanine zipper motif) as a tool that has shown great promise in remodeling the toxic AMPs to safe antimicrobial agents.

摘要

抗生素的广泛使用导致了许多耐药菌的空前快速出现,这已成为全球范围内令人担忧的公共卫生问题。寻找与抗生素同样有效的更好替代品,促使人们发现了抗菌肽(AMPs)。这些小的阳离子两亲性肽因其对各种病原体的多方面作用而成为有前途的抗菌药物,近年来,对抗菌肽的研究取得了巨大进展,其中 6 种已被批准用于局部应用。相对不太成功的结果归因于大多数天然存在的 AMP 表现出较差的细胞选择性。通过确定设计安全有效的肽的策略,可以避免这一缺点。在本综述中,我们强调了七肽重复序列(亮氨酸和/或苯丙氨酸拉链基序)作为一种工具的重要性,该工具在将毒性 AMP 重塑为安全的抗菌剂方面显示出巨大的潜力。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验