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首页> 外文期刊>Journal of King Saud University >Computational investigations of three main drugs and their comparison with synthesized compounds as potent inhibitors of SARS-CoV-2 main protease (M pro): DFT, QSAR, molecular docking, and in silico toxicity analysis
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Computational investigations of three main drugs and their comparison with synthesized compounds as potent inhibitors of SARS-CoV-2 main protease (M pro): DFT, QSAR, molecular docking, and in silico toxicity analysis

机译:三种主要药物的计算研究及其与合成化合物的比较作为SARS-COV-2主要蛋白酶的有效抑制剂(M Pro ):DFT,QSAR,分子对接,以及硅毒性分析

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In this study, we examined five previously synthesized compounds and checked their binding affinity towards the SARS-CoV-2 main protease (Mpro) by molecular docking study, and compared the data with three FDA approved drugs, i.e., Remdesivir, Ivermectine and Hydroxychlorochine. In addition, we have investigated the docking study against the main protease of SARS-CoV-2 (Mpro) by using Autodock 4.2 software package. The results suggested that the investigated compounds have property to bind the active position of the protein as reported in approved drugs. Hence, further experimental studies are required. The formation of intermolecular interactions, negative values of scoring functions, free binding energy and the calculated binding constants confirmed that the studied compounds have significant affinity for the specified biotarget. These studied compounds were passed the drug-likeness criteria as suggested by calculating ADME data by SwissADME server. Moreover, the ADMET properties suggested that the investigated compounds to be orally active compounds in human. Furthermore, density functional computations (DFT) were executed by applying GAUSSIAN 09 suit program. In addition,Quantitative Structure-Activity Relationship(QSAR) was studied by applying HyperChem Professional 8.0.3 program.
机译:在这项研究中,通过分子对接研究检查了五种先前合成的化合物,并通过分子对接研究检查了它们对SARS-COV-2主要蛋白酶(MPRO)的结合亲和力,并将数据与三种FDA批准的药物进行比较,即Remdesivir,Ivermectine和羟基氯化。此外,我们通过使用Autodock 4.2软件包对SARS-COV-2(MPRO)的主要蛋白酶进行了研究。结果表明,所研究的化合物具有结合蛋白质的活性位置,如批准的药物所报道的。因此,需要进一步的实验研究。分子间相互作用的形成,评分功能的阴性值,无结合能量和计算的结合常数证实了研究的化合物对指定的生物靶具有显着的亲和力。通过通过Swissadme服务器计算Adme数据,通过了这些研究的化合物通过了药物相似标准。此外,探测性质表明,所研究的化合物是人体的口服活性化合物。此外,通过应用Gaussian 09套装程序执行密度泛函数计算(DFT)。此外,通过应用超灰专业8.0.3计划研究了定量结构 - 活动关系(QSAR)。

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