首页> 美国卫生研究院文献>Saudi Journal of Biological Sciences >Computational selection of flavonoid compounds as inhibitors against SARS-CoV-2 main protease RNA-dependent RNA polymerase and spike proteins: A molecular docking study
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Computational selection of flavonoid compounds as inhibitors against SARS-CoV-2 main protease RNA-dependent RNA polymerase and spike proteins: A molecular docking study

机译:作为针对SARS-COV-2主要蛋白酶RNA依赖性RNA聚合酶和尖峰蛋白的抑制剂的计算选择:分子对接研究

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摘要

An outbreak of Coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 has been recognized as a global health concern. Since, no specific antiviral drug is proven effective for treatment against COVID-19, identification of new therapeutics is an urgent need. In this study, flavonoid compounds were analyzed for its inhibitory potential against important protein targets of SARS-CoV-2 using computational approaches. Virtual docking was performed for screening of flavonoid compounds retrieved from PubChem against the main protease of SARS-CoV-2 using COVID-19 docking server. The cut off of dock score was set to >−9 kcal/mol and screened compounds were individually docked against main protease, RNA-dependent RNA polymerase, and spike proteins using AutoDock 4.1 software. Finally, lead flavonoid compounds were subjected to ADMET analysis. A total of 458 flavonoid compounds were virtually screened against main protease target and 36 compounds were selected based on the interaction energy value >−9 kcal/mol. Furthermore, these compounds were individually docked against protein targets and top 10 lead compounds were identified. Among the lead compounds, agathisflavone showed highest binding energy value of −8.4 kcal/mol against main protease, Albireodelphin showed highest dock score of −9.8 kcal/mol and −11.2 kcal/mol against RdRp, and spike proteins, respectively. Based on the high dock score and ADMET properties, top 5 lead molecules such as Albireodelphin, Apigenin 7-(6″-malonylglucoside), Cyanidin-3-(p-coumaroyl)-rutinoside-5-glucoside, Delphinidin 3-O-beta-D-glucoside 5-O-(6-coumaroyl-beta-D-glucoside) and (-)-Maackiain-3-O-glucosyl-6″-O-malonate were identified as potent inhibitors against main protease, RdRp, and spike protein targets of SARS-CoV-2. These all compounds are having non-carcinogenic and non-mutagenic properties. This study finding suggests that the screened compounds include Albireodelphin, Apigenin 7-(6″-malonylglucoside), Cyanidin-3-(p-coumaroyl)-rutinoside-5-glucoside, Delphinidin 3-O-beta-D-glucoside 5-O-(6-coumaroyl-beta-D-glucoside) and (-)-Maackiain-3-O-glucosyl-6″-O-malonate could be the potent inhibitors of SARS-CoV-2 targets.
机译:由SARS-COV-2引起的冠状病毒疾病2019年(Covid-19)爆发已被认为是全球健康问题。由于没有证明对Covid-19治疗有效的特异性抗病毒药物,鉴定新的治疗方法是一种迫切需要。在该研究中,使用计算方法分析了对SARS-COV-2的重要蛋白靶标的抑制潜力的黄酮类化合物。使用Covid-19对接服务器对从Pubchem检索的黄酮类化合物进行筛选来进行虚拟对接,使用Covid-19对接服务器筛选来自SARS-COV-2的主要蛋白酶。停靠停靠区分的切断被设定为> -9kcal / mol,并且使用自动频道4.1软件单独对接对阵主蛋白酶,RNA依赖性RNA聚合酶和尖峰蛋白的筛选化合物。最后,对铅类化合物进行备注分析。实际上筛选总共458种黄酮化合物,基于相互作用能值> -9kcal / mol选择36种化合物。此外,这些化合物被单独对接对蛋白质靶标,鉴定了前10种铅化合物。在铅化合物中,Agathisflavone显示出最高结合能量值-8.4 kcal / mol对阵主要蛋白酶,Albirecodelphin分别显示出-9.8kcal / mol和-11.2kcal / mol的最高码头分数分别对抗RDRP和刺蛋白。基于高码头得分和探险性能,前5个铅分子,如亚尔维蛋白,Apigenin 7-(6“ - 甘氨酰葡糖苷),Cyanidin-3-(P-Coumaroyl) - 丁胺苷-5-葡糖苷,德尔菲啶3-O-β -D-葡萄糖苷5-O-(6-香豆酰β-D-葡糖苷)和( - ) - maackiain-3-O-葡糖基-6“-O-丙二酸酯被鉴定为对阵主要蛋白酶,RDRP和的有效抑制剂SARS-COV-2的穗蛋白靶标。这些化合物具有非致癌和非致致致癌性质。该研究发现表明,筛选的化合物包括Albirecodelphin,Apigenin 7-(6“ - 甘氨酰葡糖苷),Cyanidin-3-(P-Coumaroyl) - 丁醇苷-5-葡糖苷,蛋白苷3-O-Beta-D-葡萄糖苷5-O - (6-香豆酰β-D-葡糖苷)和( - ) - maackiain-3-O-葡糖基-6“-O-丙二酸酯可以是SARS-COV-2靶标的有效抑制剂。

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