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从……中对潜在的新型冠状病毒主要蛋白酶抑制剂进行计算机模拟筛选 。 (你提供的原文不完整,这里是根据现有内容翻译的,完整准确的译文需补充完整原文。)

In silico Screening of Potential SARS-CoV-2 Main Protease Inhibitors from .

作者信息

Mengist Hylemariam Mihiretie, Khalid Zunera, Adane Fentahun

机构信息

Department of Medical Laboratory Science, College of Medical and Health Sciences, Debre Markos University, Debre Markos, Ethiopia.

School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science & Technology of China, Langfang, People's Republic of China.

出版信息

Adv Appl Bioinform Chem. 2023 Jan 18;16:1-13. doi: 10.2147/AABC.S393084. eCollection 2023.

Abstract

BACKGROUND

COVID-19 is still instigating significant social and economic chaos worldwide; however, there is no approved antiviral drug yet. Here, we used in silico analysis to screen potential SARS-CoV-2 main protease (M) inhibitors extracted from the essential oil of which could contribute to the discovery of potent anti-SARS-CoV-2 phytochemicals.

METHODS

The absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles of compounds were determined through SwissADME and ProToxII servers. AutoDock tools were used for molecular docking analysis studies, while Chimera, DS studio, and LigPlot were used for post-docking studies. Molecular dynamic simulations were performed for 200 ns under constant pressure.

RESULTS

All compounds exhibited a bioavailability score of ≥0.55 entailing that at least 55% of the drugs can be absorbed unchanged. Only five (9%), nine (16%) and two (3.6%) of the compounds showed active hepatotoxicity, carcinogenicity, and immunotoxicity, respectively. Except for flourazophore P, which showed a little mutagenicity, all other compounds did not show mutagenic properties. On the other hand, only pinene beta was found to have a little cytotoxicity. Five compounds demonstrated effective binding to the catalytic dyad of the SARS-CoV-2 M substrate binding pocket, while two of them (geranylisobutanoate and 3-octane) are found to be the best hits that formed hydrogen bonds with Glu and Ser of SARS-CoV-2 M.

CONCLUSION

Based on our in silico analysis, top hits from may serve as potential anti-SARS-CoV-2 compounds. Further in vitro and in vivo studies are recommended to characterize these compounds for clinical applications.

摘要

背景

新型冠状病毒肺炎(COVID-19)仍在全球引发重大社会和经济混乱;然而,目前尚无获批的抗病毒药物。在此,我们通过计算机模拟分析筛选了从[植物名称]精油中提取的潜在严重急性呼吸综合征冠状病毒2(SARS-CoV-2)主要蛋白酶(M)抑制剂,这可能有助于发现有效的抗SARS-CoV-2植物化学物质。

方法

通过SwissADME和ProToxII服务器确定化合物的吸收、分布、代谢、排泄和毒性(ADMET)概况。使用AutoDock工具进行分子对接分析研究,而使用Chimera、DS工作室和LigPlot进行对接后研究。在恒压下进行200纳秒的分子动力学模拟。

结果

所有化合物的生物利用度评分均≥0.55,这意味着至少55%的药物可以被原样吸收。分别只有5种(9%)、9种(16%)和2种(3.6%)化合物表现出活性肝毒性、致癌性和免疫毒性。除了表现出轻微致突变性的氟代荧光团P外,所有其他化合物均未表现出致突变特性。另一方面,仅发现β-蒎烯有轻微细胞毒性。5种化合物显示出与SARS-CoV-2 M底物结合口袋的催化二元体有效结合,其中2种(香叶基异丁酸酯和3-辛烷)被发现是与SARS-CoV-2 M的Glu和Ser形成氢键的最佳命中物。

结论

基于我们的计算机模拟分析,[植物名称]中的最佳命中物可能作为潜在的抗SARS-CoV-2化合物。建议进一步进行体外和体内研究,以表征这些化合物用于临床应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b4e/9868284/9ee4efcc136d/AABC-16-1-g0001.jpg

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