Computational Chemistry Laboratory, Chemistry Department, Faculty of Science, Minia University, Minia, 61519, Egypt.
Computational Chemistry Laboratory, Chemistry Department, Faculty of Science, Minia University, Minia, 61519, Egypt.
Comput Biol Med. 2020 Nov;126:104046. doi: 10.1016/j.compbiomed.2020.104046. Epub 2020 Oct 8.
Coronavirus Disease 2019 (COVID-19) is an infectious illness caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), originally identified in Wuhan, China (December 2019) and has since expanded into a pandemic. Here, we investigate metabolites present in several common spices as possible inhibitors of COVID-19. Specifically, 32 compounds isolated from 14 cooking seasonings were examined as inhibitors for SARS-CoV-2 main protease (M), which is required for viral multiplication. Using a drug discovery approach to identify possible antiviral leads, in silico molecular docking studies were performed. Docking calculations revealed a high potency of salvianolic acid A and curcumin as M inhibitors with binding energies of -9.7 and -9.2 kcal/mol, respectively. Binding mode analysis demonstrated the ability of salvianolic acid A and curcumin to form nine and six hydrogen bonds, respectively with amino acids proximal to M's active site. Stabilities and binding affinities of the two identified natural spices were calculated over 40 ns molecular dynamics simulations and compared to an antiviral protease inhibitor (lopinavir). Molecular mechanics-generalized Born surface area energy calculations revealed greater salvianolic acid A affinity for the enzyme over curcumin and lopinavir with energies of -44.8, -34.2 and -34.8 kcal/mol, respectively. Using a STRING database, protein-protein interactions were identified for salvianolic acid A included the biochemical signaling genes ACE, MAPK14 and ESR1; and for curcumin, EGFR and TNF. This study establishes salvianolic acid A as an in silico natural product inhibitor against the SARS-CoV-2 main protease and provides a promising inhibitor lead for in vitro enzyme testing.
2019 年冠状病毒病(COVID-19)是由严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)引起的传染病,最初在中国武汉(2019 年 12 月)被发现,此后已扩展为大流行。在这里,我们研究了几种常见香料中的代谢产物,作为 COVID-19 的潜在抑制剂。具体来说,我们研究了从 14 种烹饪调味料中分离出的 32 种化合物,作为 SARS-CoV-2 主要蛋白酶(M)的抑制剂,M 是病毒复制所必需的。我们采用药物发现方法来识别可能的抗病毒先导化合物,进行了计算机分子对接研究。对接计算表明,丹酚酸 A 和姜黄素作为 M 抑制剂具有很高的活性,结合能分别为-9.7 和-9.2 kcal/mol。结合模式分析表明,丹酚酸 A 和姜黄素分别能够与靠近 M 活性位点的氨基酸形成九个和六个氢键。我们计算了两种鉴定的天然香料的稳定性和结合亲和力,在 40 ns 的分子动力学模拟中,并与抗病毒蛋白酶抑制剂(洛匹那韦)进行了比较。分子力学-广义 Born 表面面积能量计算表明,丹酚酸 A 对酶的亲和力大于姜黄素和洛匹那韦,分别为-44.8、-34.2 和-34.8 kcal/mol。使用 STRING 数据库,我们鉴定了丹酚酸 A 的蛋白-蛋白相互作用,包括生化信号基因 ACE、MAPK14 和 ESR1;对于姜黄素,包括 EGFR 和 TNF。这项研究确定丹酚酸 A 是一种针对 SARS-CoV-2 主要蛋白酶的计算机天然产物抑制剂,并为体外酶测试提供了有前途的抑制剂先导化合物。