Utilization of the EpiMed Coronabank Chemical Collection to identify potential SARS-CoV-2 antivirals: in silico studies targeting the nsp14 ExoN domain and PLpro naphthalene binding site

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Journal of molecular graphics & modelling Pub Date : 2024-05-26 DOI:10.1016/j.jmgm.2024.108803
Julia J. Liang , Eleni Pitsillou , Hannah L.Y. Lau , Cian P. Mccubbery , Hockxuen Gan , Andrew Hung , Tom C. Karagiannis
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Abstract

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome encodes 29 proteins including four structural, 16 nonstructural (nsps), and nine accessory proteins (https://epimedlab.org/sars-cov-2-proteome/). Many of these proteins contain potential targetable sites for the development of antivirals. Despite the widespread use of vaccinations, the emergence of variants necessitates the investigation of new therapeutics and antivirals. Here, the EpiMed Coronabank Chemical Collection (https://epimedlab.org/crl/) was utilized to investigate potential antivirals against the nsp14 exoribonuclease (ExoN) domain. Molecular docking was performed to evaluate the binding characteristics of our chemical library against the nsp14 ExoN site. Based on the initial screen, trisjuglone, ararobinol, corilagin, and naphthofluorescein were identified as potential lead compounds. Molecular dynamics (MD) simulations were subsequently performed, with the results highlighting the stability of the lead compounds in the nsp14 ExoN site. Protein-RNA docking revealed the potential for the lead compounds to disrupt the interaction with RNA when bound to the ExoN site. Moreover, hypericin, cyanidin-3-O-glucoside, and rutin were previously identified as lead compounds targeting the papain-like protease (PLpro) naphthalene binding site. Through performing MD simulations, the stability and interactions of lead compounds with PLpro were further examined. Overall, given the critical role of the exonuclease activity of nsp14 in ensuring viral fidelity and the multifunctional role of PLpro in viral pathobiology and replication, these nsps represent important targets for antiviral drug development. Our databases can be utilized for in silico studies, such as the ones performed here, and this approach can be applied to other potentially druggable SARS-CoV-2 protein targets.

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利用 EpiMed Coronabank 化学物质库鉴定潜在的 SARS-CoV-2 抗病毒药物:针对 nsp14 ExoN 结构域和 PLpro 萘结合位点的硅学研究
严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)基因组编码 29 种蛋白,包括 4 种结构蛋白、16 种非结构蛋白(nsps)和 9 种辅助蛋白 (https://epimedlab.org/sars-cov-2-proteome/)。其中许多蛋白质都含有开发抗病毒药物的潜在靶点。尽管疫苗接种已被广泛使用,但变种的出现要求对新疗法和抗病毒药物进行研究。在此,我们利用 EpiMed Coronabank 化学物质库 (https://epimedlab.org/crl/) 研究了针对 nsp14 外核酸酶 (ExoN) 结构域的潜在抗病毒药物。我们进行了分子对接,以评估化学库与 nsp14 ExoN 位点的结合特性。在初步筛选的基础上,确定了三唑酮、ararobinol、corilagin 和 naphthofluorescein 为潜在的先导化合物。随后进行了分子动力学(MD)模拟,结果表明了先导化合物在 nsp14 ExoN 位点的稳定性。蛋白质与 RNA 的对接显示,当先导化合物与 ExoN 位点结合时,可能会破坏与 RNA 的相互作用。此外,金丝桃素、青花素-3-O-葡萄糖苷和芦丁之前被鉴定为靶向木瓜蛋白酶(PLpro)萘结合位点的先导化合物。通过进行 MD 模拟,进一步研究了先导化合物的稳定性以及与 PLpro 的相互作用。总之,鉴于 nsp14 的外切酶活性在确保病毒保真度中的关键作用以及 PLpro 在病毒病理生物学和复制中的多功能作用,这些 nsps 是抗病毒药物开发的重要靶点。我们的数据库可用于像本文这样的硅学研究,这种方法也可应用于其他潜在的可药物治疗的 SARS-CoV-2 蛋白靶点。
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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