Medicinal Chemistry Research Laboratory, MNR College of Pharmacy, Sangareddy, Gr. Hyderabad, 502 294, India.
Department of Pharmacy, BITS Pilani, Pilani Campus, Pilani, 333031, India.
Curr Drug Discov Technol. 2024;21(3):73-89. doi: 10.2174/0115701638243222230920051050.
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.
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 screening of 63 phytomolecules from six different Ayurveda medicinal plants.
The phytomolecules and SARS-CoV-2 proteins were taken from public domain databases such as PubChem and RCSB Protein Data Bank. For screening, the molecular interactions, binding energy, and ADMET properties were investigated.
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.
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.
自 2019 年 11 月疫情爆发以来,开发针对 SARS-CoV-2 的小分子药物候选物非常少。典型的药物化学发现方法需要超过十年的艰苦研发和大量的财务保障,在当前疫情的挑战下是不可行的。
本研究旨在通过筛选来自六种不同阿育吠陀药用植物的 63 种植物分子,从六个关键蛋白(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点)中发现和鉴定针对 SARS-CoV-2 的最有效和最有前途的植物分子。
从 PubChem 和 RCSB Protein Data Bank 等公共数据库中获取植物分子和 SARS-CoV-2 蛋白。为了进行筛选,研究了分子相互作用、结合能和 ADMET 特性。
基于结构的分子对接表明,一些分子与靶标的亲和力大于共晶配体。我们的研究结果表明,鞣酸、矢车菊素-3-芸香糖苷、玉米黄质和卡波内酯是能够以最低能量构象抑制 SARS-CoV-2 靶蛋白的植物分子。鞣酸的结合能最低为-8.8 kcal/mol,优于其对应共晶配体的结合能(-7.5 kcal/mol)对 3CL 蛋白酶的结合能。此外,它对 RdRp 靶标表现出最低的结合能-9.9 kcal/mol,且具有更多的常规氢键相互作用。矢车菊素-3-芸香糖苷对主蛋白酶和木瓜蛋白酶样蛋白酶的结合能值分别为-8.8 和-7.6 kcal/mol。玉米黄质是 N 蛋白 RBD 的最佳候选物,结合评分-8.4 kcal/mol,略优于共晶配体(-8.2 kcal/mol)。在刺突中,卡波内酯是合适的候选物,其结合能为-7.2 kcal/mol,并形成一个常规氢键和两个疏水相互作用。选择具有最佳结合亲和力评分的植物分子进行 MD 模拟研究。
本计算机筛选研究表明,药用植物中的活性植物分子可能抑制 SARS-CoV-2 靶点。具有类药性的优秀对接化合物具有无害的 ADMET 特性,这可能有助于开发有前途的 COVID-19 抑制剂。