Lipid Shape as a Membrane Activity Modulator of a Fusogenic Antimicrobial Peptide.

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2025-05-12 Epub Date: 2025-03-20 DOI:10.1021/acs.jcim.4c02020
Marcin Makowski, Octávio L Franco, Nuno C Santos, Manuel N Melo
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Abstract

An intriguing feature of many bacterial membranes is their prevalence of non-bilayer-forming lipids, such as the cone-shaped phosphatidylethanolamines and cardiolipins. Many membrane-active antimicrobial peptides lower the bilayer-to-hexagonal phase transition energy barrier in membranes containing such types of cone-shaped lipids. Here, we systematically studied how the molecular shape of lipids affects the activity of antimicrobial peptide EcDBS1R4, which is known to be an efficient fusogenic peptide. Using coarse-grained molecular dynamics simulations, we show the ability of EcDBS1R4 to form "hourglass-shaped" pores, which is inhibited by cone-shaped lipids. The abundance of cone-shaped lipids further correlates with the propensity of this peptide to oligomerize preferentially in antiparallel dimers. We also observe that EcDBS1R4 promotes the segregation of the anionic lipids. When coupled to dimerization, this charge segregation leads to regions in the bilayer that are devoid of peptides and rich in zwitterionic lipids. Our results indicate a protective role of cone-shaped lipids in bacterial membranes against pore-mediated permeabilization by EcDBS1R4.

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脂质形状作为一种融合性抗菌肽的膜活性调节剂。
许多细菌膜的一个有趣的特征是它们普遍存在非双层形成的脂质,如锥形磷脂酰乙醇胺和心磷脂。许多具有膜活性的抗菌肽降低了含有这种类型的锥形脂质的膜的双层到六方相变能垒。在这里,我们系统地研究了脂质分子形状如何影响抗菌肽EcDBS1R4的活性,EcDBS1R4被认为是一种有效的促融合肽。通过粗粒度的分子动力学模拟,我们展示了EcDBS1R4形成“沙漏形”孔隙的能力,这种能力被锥形脂质抑制。锥形脂质的丰度进一步与这种肽在反平行二聚体中优先寡聚的倾向相关。我们还观察到EcDBS1R4促进阴离子脂质的分离。当与二聚化相结合时,这种电荷分离导致双分子层中缺乏多肽和富含两性离子脂质的区域。我们的研究结果表明,锥形脂质在细菌膜中对EcDBS1R4孔介导的渗透性具有保护作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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