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生物物理方法探索脂肽-脂质相互作用。

Biophysical approaches for exploring lipopeptide-lipid interactions.

机构信息

Instituto de Ciencias Físicas, Universidad Nacional Autónoma de México, Av. Universidad 2001, Col. Chamilpa, 62210, Cuernavaca, Mexico.

Centro de Investigación Sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Morelos, Mexico.

出版信息

Biochimie. 2020 Mar;170:173-202. doi: 10.1016/j.biochi.2020.01.009. Epub 2020 Jan 21.

Abstract

In recent years, lipopeptides (LPs) have attracted a lot of attention in the pharmaceutical industry due to their broad-spectrum of antimicrobial activity against a variety of pathogens and their unique mode of action. This class of compounds has enormous potential for application as an alternative to conventional antibiotics and for pest control. Understanding how LPs work from a structural and biophysical standpoint through investigating their interaction with cell membranes is crucial for the rational design of these biomolecules. Various analytical techniques have been developed for studying intramolecular interactions with high resolution. However, these tools have been barely exploited in lipopeptide-lipid interactions studies. These biophysical approaches would give precise insight on these interactions. Here, we reviewed these state-of-the-art analytical techniques. Knowledge at this level is indispensable for understanding LPs activity and particularly their potential specificity, which is relevant information for safe application. Additionally, the principle of each analytical technique is presented and the information acquired is discussed. The key challenges, such as the selection of the membrane model are also been briefly reviewed.

摘要

近年来,脂肽(LPs)由于其对多种病原体具有广谱抗菌活性和独特的作用模式,在制药行业引起了广泛关注。这类化合物具有作为传统抗生素替代品和用于害虫防治的巨大应用潜力。从结构和生物物理的角度了解 LPs 如何通过研究它们与细胞膜的相互作用来发挥作用,对于这些生物分子的合理设计至关重要。已经开发了各种分析技术来研究具有高分辨率的分子内相互作用。然而,这些工具在脂肽-脂质相互作用研究中几乎没有得到利用。这些生物物理方法将提供对这些相互作用的精确见解。在这里,我们回顾了这些最先进的分析技术。对于理解 LPs 的活性,特别是它们的潜在特异性,这些知识是不可或缺的,因为这是安全应用的相关信息。此外,还介绍了每种分析技术的原理,并讨论了所获得的信息。还简要回顾了关键挑战,例如膜模型的选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d68/7116911/c6720bca842e/fx1_lrg.jpg

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