基于分子对接的新型冠状病毒蛋白酶抑制剂天然化合物虚拟筛选

Jimish R. Patel, Laxman M. Prajapati, H. Joshi, Ujashkumar A. Shah
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摘要

2019年12月下旬在中国武汉首次发现COVID-19后,该疾病迅速在全球传播。由于该病的高新发死亡率,世界卫生组织将其视为潜在的全球健康威胁。冠状病毒通过呼吸道气溶胶传播,产生轻度上呼吸道感染。目前,除了重新利用的药物外,没有疫苗或特定的COVID-19抑制剂可用于治疗。COVID-19病毒基因组有大约3万个核苷酸。它的复制酶基因编码病毒复制和转录所必需的重叠多蛋白。最近,新冠病毒主蛋白酶结晶成功,并在蛋白质数据库中开放使用。一些研究报道药用植物具有抗病毒生物活性。应用基于硅计算机的小分子对接研究可以为不相关的体内模型节省时间。在本研究中,我们研究了来自不同植物的500种具有抗病毒特性的天然化合物。我们还筛选了几种蛋白酶抑制剂和其他据称对COVID-19有活性的重新用途药物。对接在Autodock vina上进行,沿X、Y和Z轴使用网格尺寸为22、22、24,间距为1.000 A˚。使用Discovery studio 3.5软件可视化捆扎袋中的对接位置。大多数重组蛋白酶抑制剂具有良好的结合能,沙奎那韦是最有效的。在天然化合物中,菊苣和异牛油果苷与蛋白酶蛋白结合良好。结果表明,黄酮类化合物是最有效的天然化合物中最常见的化学基团。氨基酸Thr26、Asn142、Gly143、Ser144、Cys145、His163和Glu166与停靠物表现出强烈的氢键相互作用。这项最新研究的结论将有助于研究人员找到更好的药物来对抗COVID-19。简而言之,我们的研究结果强调了针对新型冠状病毒主要蛋白酶的有希望的制药前景。然而,需要进行进一步的临床前和临床试验来验证这些潜在的化合物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Virtual Screening of Natural Compounds to Identify Potential Inhibitors of COVID-19 Protease using Molecular Docking
COVID-19 disease has spread quickly across the globe after its first detection in late December 2019 in Wuhan, China. The disease is considered as a potential global health threat by world health organization due to its high emerging deaths. Coronaviruses are transmitted by respiratory aerosols producing mild upper respiratory infections. Currently, no vaccine or specific COVID-19 inhibitors are available for treatment except repurposed drugs. The COVID-19 virus genome has ~30,000 nucleotides. Its replicase gene encodes overlapping polyproteins necessary for viral replication and transcription. Recently COVID-19 main protease was successfully crystallized and made available in Protein Data Bank for public use. Several studies report medicinal plants to have antiviral bioactivities. Application of in silico computer‐based docking studies involving small molecules could be time saving for irrelevant in vivo models. In the present study, we have investigated 500 natural compounds from different plants having antiviral properties. We have also screened several protease inhibitors and other repurposed drugs claimed to be active against COVID-19.  The docking was performed on Autodock vina, using grid size 22, 22, 24 along the X, Y, and Z axes with 1.000 A˚ spacing. The docked positions in binding pockets were visualized using Discovery studio 3.5 software.  Most of the repurposed protease inhibitors were having good binding energy, saquinavir being the most potent. Among natural compounds, jervine and isoacteoside were found to be having good binding with protease protein. It was observed that flavonoid was the commonest chemical group amongst most potent natural compounds. The amino acids Thr26, Asn142, Gly143, Ser144, Cys145, His163, and Glu166 showed strong H-bond interactions with docked compounds. The conclusion of the recent study will help researchers to identify the better drug to battle COVID-19. To be brief, our findings emphasize a promising pharmaceutical perspective for targeting main protease of novel coronavirus. However further preclinical and clinical trials should be carried out to validate these potential compounds.
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