Nisin 与脂质 II 组装和膜孔形成的仿真引导分子建模

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2024-10-28 Epub Date: 2024-10-07 DOI:10.1021/acs.jcim.4c01050
Hugo A Perez, Zhe Wang, Bernard S Gerstman, Jin He, Prem P Chapagain
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摘要

抗生素孔隙形成肽 nisin 具有独特的结构,可以通过两种不同的方式--脂质 II 转运和跨膜孔隙形成--破坏细菌,因此是对抗耐多药细菌的有希望的候选药物。然而,尼生素和脂质 II 究竟是如何在细菌膜上组装成寡聚孔结构的,目前尚不清楚。即使在超长时间尺度的分子动力学(MD)模拟中,也很难观察到肽自发组装成孔的过程。在本研究中,我们采用了 MD 引导的建模方法来研究 nisin-nisin 和 nisin-Lipid II 在膜环境中的关联。通过大量微秒时间尺度的全原子 MD 模拟,我们确定了 nisin 单体在 POPE:POPG 脂质双分子层中通过形成 β 片层而二聚化,并进一步低聚形成稳定的跨膜通道。我们确定,这些尼生素二聚体利用脂质 II 作为二聚体界面,从而增强了稳定性。我们的研究结果使我们对尼生素单体在膜内的自组装有了更清晰的认识,并深入了解了脂质 II 在低聚物结构完整性中的作用。
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Simulation-Guided Molecular Modeling of Nisin and Lipid II Assembly and Membrane Pore Formation.

The lantibiotic pore-forming peptide nisin is a promising candidate in the fight against multidrug-resistant bacteria due to its unique structure, which allows it to disrupt bacteria in two distinct ways─Lipid II trafficking and transmembrane pore formation. However, exactly how nisin and Lipid II assemble into oligomeric pore structures in the bacterial membrane is not known. Spontaneous peptide assembly into pores is difficult to observe in even the very long-time scale molecular dynamics (MD) simulations. In this study, we adopted an MD-guided modeling approach to investigate the nisin-nisin and nisin-Lipid II associations in the membrane environment. Through extensive microsecond-time scale all-atom MD simulations, we established that nisin monomers dimerize by forming β-sheets in a POPE:POPG lipid bilayer and oligomerize further to form stable transmembrane channels. We determined that these nisin dimers use Lipid II as a dimer interface to incur enhanced stability. Our results provide a clearer understanding of the self-assembly of nisin monomers within the membrane and insights into the role of Lipid II in the structural integrity of oligomeric structures.

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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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