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阐明抗生素通过外膜的渗透:分子动力学的见解。

Elucidating Antibiotic Permeation through the Outer Membrane: Insights from Molecular Dynamics.

机构信息

School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 637371, Singapore.

Department of Chemistry, National University of Singapore, Singapore 117543, Singapore.

出版信息

J Chem Inf Model. 2024 Nov 11;64(21):8310-8321. doi: 10.1021/acs.jcim.4c01249. Epub 2024 Oct 31.

DOI:10.1021/acs.jcim.4c01249
PMID:39480067
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11558678/
Abstract

Antibiotic resistance represents a critical public health threat, with an increasing number of Gram-negative pathogens demonstrating resistance to a broad range of clinical drugs. A primary challenge in enhancing antibiotic efficacy is overcoming the robust barrier presented by the bacterial outer membrane. Our research addresses a longstanding question: What is the rate of antibiotic permeation across the outer membrane (OM) of Gram-negative bacteria? Utilizing molecular dynamics (MD) simulations, we assess the passive permeability profiles of four commercially available antibiotics─gentamicin, novobiocin, rifampicin, and tetracycline across an asymmetric atomistic model of the () OM, employing the inhomogeneous solubility-diffusion model. Our examination of the interactions between these drugs and their environmental context during OM permeation reveals that extended hydrogen bond formation and drug-cation interactions significantly hinder the energetics of passive permeation, notably affecting novobiocin. Our MD simulations corroborate well with experimental data and reveal new implications of solvation on drug permeability, overall advancing the possible use of computational prediction of membrane permeability in future antibiotic discovery.

摘要

抗生素耐药性是一个严重的公共卫生威胁,越来越多的革兰氏阴性病原体对广泛的临床药物表现出耐药性。提高抗生素疗效的主要挑战是克服细菌外膜的强大屏障。我们的研究解决了一个长期存在的问题:抗生素穿过革兰氏阴性菌外膜 (OM) 的渗透率是多少?我们利用分子动力学 (MD) 模拟,通过非均匀溶解-扩散模型,评估了四种市售抗生素——庆大霉素、新生霉素、利福平、四环素在不对称原子模型的 () OM 中的被动渗透率分布。我们研究了这些药物在 OM 渗透过程中与环境相互作用,发现氢键的扩展和药物-阳离子相互作用极大地阻碍了被动渗透的能量学,特别是对新生霉素的影响。我们的 MD 模拟与实验数据吻合良好,并揭示了溶剂化对药物渗透性的新影响,总体上推进了计算预测在未来抗生素发现中的膜渗透性的可能应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5301/11558678/a68d5c985137/ci4c01249_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5301/11558678/e574ce8a398c/ci4c01249_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5301/11558678/9b963a58f398/ci4c01249_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5301/11558678/ac14c24e3a06/ci4c01249_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5301/11558678/b38392829279/ci4c01249_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5301/11558678/46c443f13d41/ci4c01249_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5301/11558678/a68d5c985137/ci4c01249_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5301/11558678/e574ce8a398c/ci4c01249_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5301/11558678/9b963a58f398/ci4c01249_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5301/11558678/ac14c24e3a06/ci4c01249_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5301/11558678/b38392829279/ci4c01249_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5301/11558678/46c443f13d41/ci4c01249_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5301/11558678/a68d5c985137/ci4c01249_0006.jpg

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本文引用的文献

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Free Energy Barriers for Passive Drug Transport through the Outer Membrane: A Molecular Dynamics Study.被动药物通过外膜转运的自由能障碍:分子动力学研究。
Int J Mol Sci. 2024 Jan 13;25(2):1006. doi: 10.3390/ijms25021006.
2
Ion currents through Kir potassium channels are gated by anionic lipids.钾离子通道中的离子电流受阴离子脂质门控。
Nat Commun. 2022 Jan 25;13(1):490. doi: 10.1038/s41467-022-28148-4.
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Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis.2019 年全球细菌对抗菌药物耐药性的负担:系统分析。
Lancet. 2022 Feb 12;399(10325):629-655. doi: 10.1016/S0140-6736(21)02724-0. Epub 2022 Jan 19.
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Rational prioritization strategy allows the design of macrolide derivatives that overcome antibiotic resistance.合理的优先级策略允许设计克服抗生素耐药性的大环内酯衍生物。
Proc Natl Acad Sci U S A. 2021 Nov 16;118(46). doi: 10.1073/pnas.2113632118.
5
Large-Scale Membrane Permeability Prediction of Cyclic Peptides Crossing a Lipid Bilayer Based on Enhanced Sampling Molecular Dynamics Simulations.基于增强采样分子动力学模拟的环状肽穿过类脂双层的大规模膜通透性预测。
J Chem Inf Model. 2021 Jul 26;61(7):3681-3695. doi: 10.1021/acs.jcim.1c00380. Epub 2021 Jul 8.
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How to Enter a Bacterium: Bacterial Porins and the Permeation of Antibiotics.如何进入细菌:细菌孔蛋白和抗生素的渗透。
Chem Rev. 2021 May 12;121(9):5158-5192. doi: 10.1021/acs.chemrev.0c01213. Epub 2021 Mar 16.
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An Old Problem in a New Light: Antibiotic Permeation Barriers.新视角下的老问题:抗生素渗透屏障
ACS Infect Dis. 2020 Dec 11;6(12):3090-3091. doi: 10.1021/acsinfecdis.0c00780.
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Predicting Small Molecule Transfer Free Energies by Combining Molecular Dynamics Simulations and Deep Learning.通过分子动力学模拟和深度学习预测小分子传递自由能。
J Chem Inf Model. 2020 Nov 23;60(11):5375-5381. doi: 10.1021/acs.jcim.0c00318. Epub 2020 Sep 1.
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