In Silico Screening of Some Active Phytochemicals to Identify Promising Inhibitors Against SARS-CoV-2 Targets.

V Alagarsamy, V Raja Solomon, S Murugesan, P Shyam Sundar, M D Muzaffar-Ur-Rehman, A Chandu, A Dharshini Aishwarya, B Narendhar, M T Sulthana, V Ravikumar
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Abstract

Background: There are very few small-molecule drug candidates developed against SARS-CoV-2 that have been revealed since the epidemic began in November 2019. The typical medicinal chemistry discovery approach requires more than a decade of the year of painstaking research and development and a significant financial guarantee, which is not feasible in the challenge of the current epidemic.

Objective: This current study proposes to find and identify the most effective and promising phytomolecules against SARS-CoV-2 in six essential proteins (3CL protease, Main protease, Papain- Like protease, N-protein RNA binding domain, RNA-dependent RNA polymerase, and Spike receptor binding domain target through in silico screening of 63 phytomolecules from six different Ayurveda medicinal plants.

Methods: The phytomolecules and SARS-CoV-2 proteins were taken from public domain databases such as PubChem and RCSB Protein Data Bank. For in silico screening, the molecular interactions, binding energy, and ADMET properties were investigated.

Results: The structure-based molecular docking reveals some molecules' greater affinity towards the target than the co-crystal ligand. Our results show that tannic acid, cyanidin-3-rutinoside, zeaxanthin, and carbolactone are phytomolecules capable of inhibiting SARS-CoV-2 target proteins in the least energy conformations. Tannic acid had the least binding energy of -8.8 kcal/mol, which is better than the binding energy of its corresponding co-crystal ligand (-7.5 kcal/mol) against 3 CL protease. Also, it has shown the least binding energy of -9.9 kcal/mol with a more significant number of conventional hydrogen bond interactions against the RdRp target. Cyanidin-3-rutinoside showed binding energy values of -8.8 and -7.6 kcal/mol against Main protease and Papain-like protease, respectively. Zeaxanthin was the top candidate in the N protein RBD with a binding score of - 8.4 kcal/mol, which is slightly better when compared to a co-crystal ligand (-8.2 kcal/mol). In the spike, carbolactone was the suitable candidate with the binding energy of -7.2 kcal/mol and formed a conventional hydrogen bond and two hydrophobic interactions. The best binding affinity-scored phytomolecules were selected for the MD simulations studies.

Conclusion: The present in silico screening study suggested that active phytomolecules from medicinal plants could inhibit SARS-CoV-2 targets. The elite docked compounds with drug-like properties have a harmless ADMET profile, which may help to develop promising COVID-19 inhibitors.

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在硅中筛选一些活性植物化学物质,以确定有前景的抗严重急性呼吸系统综合征冠状病毒2型靶标抑制剂。
背景:自2019年11月疫情开始以来,很少有针对严重急性呼吸系统综合征冠状病毒2型的小分子候选药物被发现。典型的药物化学发现方法需要十多年的艰苦研发和大量的资金保障,这在当前疫情的挑战中是不可行的。目的:本研究旨在从六种必需蛋白质中寻找和鉴定最有效、最有前景的抗严重急性呼吸系统综合征冠状病毒2型的植物分子(3CL蛋白酶、主蛋白酶、木瓜蛋白酶样蛋白酶、N-蛋白RNA结合域、RNA依赖性RNA聚合酶和刺突受体结合域靶标,通过对来自6种不同阿育吠陀药用植物的63种植物分子的计算机筛选。方法:从PubChem和RCSB蛋白质数据库等公共领域数据库中提取植物分子和严重急性呼吸系统综合征冠状病毒2型蛋白质对筛选、分子相互作用、结合能和ADMET性质进行了研究。结果:基于结构的分子对接揭示了一些分子对靶标比对共晶配体更大的亲和力。我们的研究结果表明,单宁酸、矢车菊素-3-芸香糖苷、玉米黄质和卡内酯是能够以最低能量构象抑制严重急性呼吸系统综合征冠状病毒2型靶蛋白的植物分子。单宁酸对3 CL蛋白酶的结合能最低,为-8.8 kcal/mol,优于其相应共晶配体的结合能(-7.5 kcal/mol)。此外,它还显示出最低的结合能为-9.9kcal/mol,对RdRp靶有更显著数量的常规氢键相互作用。氰-3-芸香糖苷对主蛋白酶和木瓜蛋白酶样蛋白酶的结合能分别为-8.8和-7.6 kcal/mol。玉米黄质是N蛋白RBD中的最佳候选者,其结合得分为-8.4kcal/mol,与共晶配体(-8.2kcal/mol)相比稍好。在刺突中,卡内酯是合适的候选者,其结合能为-7.2kcal/mol,并形成一个常规氢键和两个疏水相互作用。选择结合亲和力评分最好的植物分子进行MD模拟研究。结论:目前的计算机筛选研究表明,药用植物中的活性植物分子可以抑制严重急性呼吸系统综合征冠状病毒2型的靶标。具有类药物性质的精英对接化合物具有无害的ADMET特征,这可能有助于开发有前景的新冠肺炎抑制剂。
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