Department of Plant & Soil Sciences, University of Pretoria, Pretoria, South Africa.
Department of Botany, Bioinformatics and Climate Change Impacts Management, School of Sciences, Gujarat University, Ahmedabad, India.
J Comput Chem. 2021 Oct 5;42(26):1861-1872. doi: 10.1002/jcc.26717. Epub 2021 Jul 20.
Since December 2019, coronavirus disease (COVID-19) has claimed the lives of millions of people across the globe. To date, no medicine is available for the responsible virus SARS-CoV-2. 3CLpro, that is, 3-chymotrypsin-like protease, the main protease (M ), has an important role in cleaving pp1a and pp1ab polyproteins. This M serves as an important target in drug designing against COVID-19. Herein, the study includes the investigation, screening, and identification of potent leads from (Withania sps.), against SARS-CoV-2, using virtual screening, molecular docking, and molecular dynamics (MD) simulations. Seventy-three natural compounds from this important medicinal plant were screened. The Binding affinity was used to identify the most probable target to inhibit the M , compounds 27-hydroxywithanolide F (W32, -11.5 kcal/mol), withanolide A (W56, -11.4 kcal/mol), and withacoagulin H (W30, -11.1 kcal/mol) showed highest binding energy. Lipinski's rule, followed by drug-likability and likeness screening, resulted in 36 molecules. Further, MD simulation of 50 ns predicted withacoagulin H possessing strong binding affinity and hydrogen-bonding interactions with the active site. The binding free energy calculation showed the most negative energy of withacoagulin H (-63.463 KJ/mol) compared to other selected compounds. The study also compared the bonding energy of already reported repurposed and newly synthesized drugs. Further, absorption, distribution, metabolism, and excretion predictions were made to found a good balance of potency. Hence the following screened compounds from Withania sps. could serve as the potential leads for drug development against COVID-19.
自 2019 年 12 月以来,冠状病毒病(COVID-19)已在全球夺走了数百万人的生命。迄今为止,尚无针对负责病毒 SARS-CoV-2 的药物。3CLpro,即 3-糜蛋白酶样蛋白酶,是切割 pp1a 和 pp1ab 多蛋白的主要蛋白酶(M),在药物设计针对 COVID-19 中具有重要作用。在此,研究包括使用虚拟筛选,分子对接和分子动力学(MD)模拟,从(Withania sps.)中对 SARS-CoV-2 进行有效的先导化合物调查,筛选和鉴定。从这种重要药用植物中筛选出 73 种天然化合物。结合亲和力用于鉴定最有可能的抑制 M 的目标,化合物 27-羟基茄啶 F(W32,-11.5 kcal/mol),茄啶 A(W56,-11.4 kcal/mol)和 withacoagulin H(W30,-11.1 kcal/mol)表现出最高的结合能。遵循 Lipinski 规则,然后进行药物似然性和相似性筛选,得到 36 种分子。此外,50 ns 的 MD 模拟预测 withacoagulin H 具有与活性位点强结合亲和力和氢键相互作用。结合自由能计算显示,与其他选定的化合物相比,withacoagulin H 的能量最负(-63.463 kJ/mol)。该研究还比较了已报道的重新利用和新合成药物的键能。此外,还进行了吸收,分布,代谢和排泄预测,以找到效力的良好平衡。因此,从 Withania sps.筛选出的以下化合物可以作为针对 COVID-19 的药物开发的潜在先导化合物。