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基于组合的天然产物和 FDA 批准药物筛选,发现了两种不同机制作用的强效 SARS-CoV-2 抑制剂。

Ensemble-based screening of natural products and FDA-approved drugs identified potent inhibitors of SARS-CoV-2 that work with two distinct mechanisms.

机构信息

Department of Health and Biomedical Sciences, School of Life Science and Bioengineering, The Nelson Mandela African Institution of Science and Technology, P.O.Box 447, Arusha, Tanzania; Department of Chemistry, Faculty of Natural and Applied Sciences, St John's University of Tanzania, P.O.Box 47, Dodoma, Tanzania.

Chemistry Department, College of Natural and Applied Sciences, University of Dar es Salaam, P.O. Box 35061, Dar es Salaam, Tanzania; Department of Materials and Energy Science and Engineering, The Nelson Mandela African Institution of Science and Technology, P.O.Box 447, Arusha, Tanzania.

出版信息

J Mol Graph Model. 2021 Jun;105:107871. doi: 10.1016/j.jmgm.2021.107871. Epub 2021 Feb 23.

Abstract

The recent outbreak of SARS-CoV-2 is responsible for high morbidity and mortality rate across the globe. This requires an urgent identification of drugs and other interventions to overcome this pandemic. Computational drug repurposing represents an alternative approach to provide a more effective approach in search for COVID-19 drugs. Selected natural product known to have antiviral activities were screened, and based on their hits; a similarity search with FDA approved drugs was performed using computational methods. Obtained drugs from similarity search were assessed for their stability and inhibition against SARS-CoV-2 targets. Diosmin (DB08995) was found to be a promising drug that works with two distinct mechanisms, preventing viral replication and viral fusion into the host cell. Isoquercetin (DB12665) and rutin (DB01698) work by inhibiting viral replication and preventing cell entry, respectively. Our analysis based on molecular dynamics simulation and MM-PBSA binding free energy calculation suggests that diosmin, isoquercetin, rutin and other similar flavone glycosides could serve as SARS-CoV-2 inhibitor, hence an alternative solution to treat COVID-19 upon further clinical validation.

摘要

最近爆发的严重急性呼吸综合征冠状病毒 2 型(SARS-CoV-2)在全球范围内导致了高发病率和死亡率。这就需要紧急确定药物和其他干预措施来克服这一大流行。计算药物再利用代表了一种替代方法,可以为寻找 COVID-19 药物提供更有效的方法。筛选了已知具有抗病毒活性的选定天然产物,并根据它们的命中情况;使用计算方法对 FDA 批准的药物进行了相似性搜索。从相似性搜索中获得的药物被评估其对 SARS-CoV-2 靶标的稳定性和抑制作用。橙皮苷(DB08995)被发现是一种有前途的药物,它通过两种不同的机制发挥作用,防止病毒复制和病毒融合进入宿主细胞。槲皮素(DB12665)和芦丁(DB01698)分别通过抑制病毒复制和阻止细胞进入起作用。我们基于分子动力学模拟和 MM-PBSA 结合自由能计算的分析表明,橙皮苷、槲皮素、芦丁和其他类似的黄酮糖苷类化合物可以作为 SARS-CoV-2 抑制剂,因此在进一步的临床验证后,可以作为治疗 COVID-19 的替代方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29a5/7901283/549f060d6f59/fx1_lrg.jpg

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