具有可扩展结构和活性的硫代甘草抗病毒药物。

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Francesco Coppola, Roya Jafari, Katherine D McReynolds, Petr Král
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引用次数: 0

摘要

许多病毒通过将其多亚基受体与人肝素硫酸酯蛋白聚糖(HSPG)和细胞膜上的其他分子成分结合而进入细胞。通过与病毒蛋白受体进行多价结合的合适的 HSPG 模拟物,可以阻断这些病毒相互作用并清除整个病毒。为此,我们设计了不同拓扑结构、结构和大小的大型磺甘草 HSPG 模仿物。原子分子动力学模拟用于研究这些广谱抗病毒药物阻断 HIV、SARS-CoV-2、HPV 和登革热病毒中多蛋白 HSPG 受体的能力。为了确定这些模拟物的抑制潜力,研究人员考察了它们与单个和多个蛋白受体的结合情况。特别是,沿模拟轨迹引入并计算了拟态物质与病毒蛋白受体之间结合能的矢量分布。此外,还对拟态物与受体结合的空间残差进行了分析。该分析揭示了这些抗病毒药物与病毒蛋白受体之间结合的详细性质,并提供了证据表明,具有多价结合的大型抑制剂可能会像分子胶水一样启动包膜病毒中蛋白受体的自组装。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Sulfoglycodendron Antivirals with Scalable Architectures and Activities.

Sulfoglycodendron Antivirals with Scalable Architectures and Activities.

Many viruses initiate their cell-entry by binding their multisubunit receptors to human heparan sulfate proteoglycans (HSPG) and other molecular components present on cellular membranes. These viral interactions could be blocked and the whole viruses could be eliminated by suitable HSPG-mimetics providing multivalent binding to viral protein receptors. Here, large sulfoglycodendron HSPG-mimetics of different topologies, structures, and sizes were designed to this purpose. Atomistic molecular dynamics simulations were used to examine the ability of these broad-spectrum antivirals to block multiprotein HSPG-receptors in HIV, SARS-CoV-2, HPV, and dengue viruses. To characterize the inhibitory potential of these mimetics, their binding to individual and multiple protein receptors was examined. In particular, vectorial distributions of binding energies between the mimetics and viral protein receptors were introduced and calculated along the simulated trajectories. Space-dependent residual analysis of the mimetic-receptor binding was also performed. This analysis revealed the detailed nature of binding between these antivirals and viral protein receptors and provided evidence that large inhibitors with multivalent binding might act like a molecular glue initiating the self-assembly of protein receptors in enveloped viruses.

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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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