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来自 Porphyridium sp. 的寡糖对 SARS-CoV-2 主蛋白酶的抗病毒活性的计算机预测证据

In silico evidence of antiviral activity against SARS-CoV-2 main protease of oligosaccharides from Porphyridium sp.

机构信息

Laboratoire de Génie Enzymatique et Microbiologie, Equipe de Biotechnologie des Algues, Ecole Nationale d'Ingénieurs de Sfax, University of Sfax, Sfax, Tunisia.

Laboratoire de Biotechnologies des Plantes Appliquées à l'Amélioration des Cultures, Faculty of Sciences of Sfax, University of Sfax, Sfax, Tunisia.

出版信息

Sci Total Environ. 2022 Aug 25;836:155580. doi: 10.1016/j.scitotenv.2022.155580. Epub 2022 Apr 29.

Abstract

The coronavirus pandemic (COVID-19) has created an urgent need to develop effective strategies for prevention and treatment. In this context, therapies against protease M, a conserved viral target, would be essential to contain the spread of the virus and reduce mortality. Using combined techniques of structure modelling, in silico docking and pharmacokinetics prediction, many compounds from algae were tested for their ability to inhibit the SARS-CoV-2 main protease and compared to the recent recognized drug Paxlovid. The screening of 27 algal molecules including 15 oligosaccharides derived from sulfated and non-sulphated polysaccharides, eight pigments and four poly unsaturated fatty acids showed high affinities to interact with the protein active site. Best candidates showing high docking scores in comparison with the reference molecule were sulfated tri-, tetra- and penta-saccharides from Porphyridium sp. exopolysaccharides (SEP). Structural and energetic analyses over 100 ns MD simulation demonstrated high SEP fragments-M complex stability. Pharmacokinetics predictions revealed the prospects of the identified molecules as potential drug candidates.

摘要

冠状病毒大流行(COVID-19)迫切需要制定有效的预防和治疗策略。在这种情况下,针对蛋白酶 M 的治疗方法(一种保守的病毒靶点)对于遏制病毒传播和降低死亡率至关重要。我们使用结构建模、计算机对接和药代动力学预测的联合技术,测试了来自藻类的许多化合物抑制 SARS-CoV-2 主要蛋白酶的能力,并与最近公认的药物 Paxlovid 进行了比较。对 27 种藻类分子(包括 15 种源自硫酸化和非硫酸化多糖的寡糖、8 种色素和 4 种多不饱和脂肪酸)进行了筛选,结果表明这些分子与蛋白质活性位点具有很高的亲和力。与参比分子相比,显示出高对接分数的最佳候选物是来自紫球藻胞外多糖(SEP)的硫酸化三、四和五糖。超过 100ns MD 模拟的结构和能量分析表明,SEP 片段-M 复合物具有很高的稳定性。药代动力学预测表明,所鉴定的分子具有作为潜在药物候选物的前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c11/9052773/ca41dd549d82/ga1_lrg.jpg

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