二价离子在多粘菌素敏感和耐药革兰氏阴性菌膜模型中的作用。

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL
Mariia Savenko, Robert Vácha, Christophe Ramseyer, Timothée Rivel
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引用次数: 0

摘要

多粘菌素,关键的最后的抗生素,影响膜结合二价阳离子的分布在革兰氏阴性菌的外膜。我们采用原子分子动力学模拟来模拟置换这些离子的效果。对肠沙门氏菌外膜2种多粘菌素敏感模型和2种多粘菌素耐药模型进行了研究。首先,我们发现所有钙离子的去除会引起模型膜上的全局应力,导致膜的大量重组。接下来,我们使用增强的采样方法来探索局部应力通过置换膜结合离子的影响。我们的研究结果表明,在膜结合离子网络中产生缺陷有助于多粘菌素的渗透。此外,我们对多粘菌素耐药突变的研究表明,耐药模型膜中的二价离子不太可能移位,这可能导致与这些突变相关的耐药性增加。最后,我们将全原子分子动力学模拟结果与粗粒度模拟结果进行了比较,表明力场的选择对膜结合离子在应力下的行为有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of Divalent Ions in Membrane Models of Polymyxin-Sensitive and Resistant Gram-Negative Bacteria.

Polymyxins, critical last-resort antibiotics, impact the distribution of membrane-bound divalent cations in the outer membrane of Gram-negative bacteria. We employed atomistic molecular dynamics simulations to model the effect of displacing these ions. Two polymyxin-sensitive and two polymyxin-resistant models of the outer membrane of Salmonella enterica were investigated. First, we found that the removal of all calcium ions induces global stress on the model membranes, leading to substantial membrane restructuring. Next, we used enhanced sampling methods to explore the effects of localized stress by displacing membrane-bound ions. Our findings indicate that creating defects in the membrane-bound ion network facilitates polymyxin permeation. Additionally, our study of polymyxin-resistant mutations revealed that divalent ions in resistant model membranes are less likely to be displaced, potentially contributing to the increased resistance associated with these mutations. Lastly, we compared results from all-atom molecular dynamics simulations with coarse-grained simulations, demonstrating that the choice of force field significantly influences the behavior of membrane-bound ions under stress.

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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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