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本文引用的文献

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Enantioselective sulfoxidation using GLA.0.使用GLA.0进行对映选择性硫氧化反应。
RSC Adv. 2020 Sep 1;10(54):32335-32344. doi: 10.1039/d0ra05838f.
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Drug discovery to treat COVID-19 two years after its outbreak.新冠疫情爆发两年后,药物研发开始治疗 COVID-19。
Drug Discov Ther. 2021;15(6):281-288. doi: 10.5582/ddt.2021.01302.
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Editorial: Current Status of Oral Antiviral Drug Treatments for SARS-CoV-2 Infection in Non-Hospitalized Patients.社论:非住院患者 SARS-CoV-2 感染的口服抗病毒药物治疗现状。
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Synthesis of New Binary Thiazole-Based Heterocycles and Their Molecular Docking Study as COVID-19 Main Protease (M) Inhibitors.新型基于噻唑的二元杂环化合物的合成及其作为COVID-19主要蛋白酶(M)抑制剂的分子对接研究。
Russ J Gen Chem. 2021;91(9):1767-1773. doi: 10.1134/S1070363221090231. Epub 2021 Oct 27.
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Prediction and mitigation of mutation threats to COVID-19 vaccines and antibody therapies.预测并减轻新冠病毒疫苗和抗体疗法面临的突变威胁。
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Exploring the new potential antiviral constituents of Moringa oliefera for SARS-COV-2 pathogenesis: An molecular docking and dynamic studies.探索辣木对SARS-CoV-2发病机制的新型潜在抗病毒成分:分子对接和动力学研究
Chem Phys Lett. 2021 Mar 16;767:138379. doi: 10.1016/j.cplett.2021.138379. Epub 2021 Jan 26.
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Potential of Plant Bioactive Compounds as SARS-CoV-2 Main Protease (M) and Spike (S) Glycoprotein Inhibitors: A Molecular Docking Study.植物生物活性化合物作为严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)主要蛋白酶(M)和刺突(S)糖蛋白抑制剂的潜力:一项分子对接研究。
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从一株陆生放线菌 GSCW-51 中分离得到硫代次黄嘌呤和丁烯内酯及其对 SARS-CoV-2 的潜在活性的计算机模拟研究。

Isolation of Thioinosine and Butenolides from a Terrestrial Actinomycetes sp. GSCW-51 and Their in Silico Studies for Potential against SARS-CoV-2.

机构信息

Department of Chemistry, Government Sadiq College Women University, Bahawalpur, 63100, Pakistan.

Department of Chemistry, Division of Science and Technology, University of Education Lahore, Lahore, 32200, Pakistan.

出版信息

Chem Biodivers. 2022 Apr;19(4):e202100843. doi: 10.1002/cbdv.202100843. Epub 2022 Mar 15.

DOI:10.1002/cbdv.202100843
PMID:35213767
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9074031/
Abstract

In our continuous screening for bioactive microbial natural products, the culture extracts of a terrestrial Actinomycetes sp. GSCW-51 yielded two new metabolites, i. e., 5-hydroxymethyl-3-(1-hydroxy-6-methyl-7-oxooctyl)dihydrofuran-2(3H)-one (1), 5-hydroxymethyl-3-(1,7-dihydroxy-6-methyloctyl)dihydrofuran-2(3H)-one (2), and two known compounds; 5'-methylthioinosine (3), and 5'-methylthioinosine sulfoxide (4), which are isolated first time from any natural source, along with four known compounds (5-8). The structures of the new compounds were deduced by HR-ESI-MS, 1D and 2D NMR data, and in comparison with related compounds from the literature. Additionally, owing to the current COVID-19 pandemic situation, we also computationally explored the therapeutic potential of our isolated compounds against SARS-CoV-2. Compound 4 showed the best binding energies of -6.2 and -6.6 kcal/mol for M and spike proteins, respectively. The intermolecular interactions were also studied using 2-D and 3-D imagery, which also supported the binding energies as well as put several insights under the spotlight. Furthermore, Lipinski's rule of 5 was used to predict the drug likeness of compounds 1-4, which indicated all compounds obey Lipinski's rule of 5. The study of bioavailability radars of the compounds 1-4 also confirmed their drug likeness properties where all the five crucial drug likeness parameters are in color area, which is safe to be used as drugs. Our isolation and computational findings highly encourage the scientific community to do further in vitro and in vivo studies of compounds 1-4.

摘要

在我们对生物活性微生物天然产物的持续筛选中,一株陆生放线菌 GSCW-51 的培养提取物产生了两个新的代谢产物,即 5-羟甲基-3-(1-羟基-6-甲基-7-氧代辛基)二氢呋喃-2(3H)-酮(1)、5-羟甲基-3-(1,7-二羟基-6-甲基辛基)二氢呋喃-2(3H)-酮(2),以及两个已知化合物:5'-甲基硫代肌苷(3)和 5'-甲基硫代肌苷亚砜(4),这是它们首次从任何天然来源中分离得到的,同时还分离得到了四个已知化合物(5-8)。新化合物的结构通过高分辨电喷雾电离质谱(HR-ESI-MS)、1D 和 2D NMR 数据以及与文献中相关化合物的比较推导得出。此外,由于当前 COVID-19 大流行的情况,我们还通过计算探索了我们分离得到的化合物对 SARS-CoV-2 的治疗潜力。化合物 4 对 M 蛋白和刺突蛋白的最佳结合能分别为-6.2 和-6.6 kcal/mol。还使用 2D 和 3D 图像研究了分子间相互作用,这也支持了结合能,并将几个见解置于聚光灯下。此外,还使用了 Lipinski 五规则来预测化合物 1-4 的药物相似性,结果表明所有化合物都符合 Lipinski 五规则。化合物 1-4 的生物利用度雷达研究也证实了它们的药物相似性特性,所有五个关键的药物相似性参数都在颜色区域内,这是安全的可以用作药物。我们的分离和计算结果高度鼓励科学界进一步对化合物 1-4 进行体外和体内研究。