作为流感神经氨酸酶蛋白受体潜在抑制剂的新型 2-((4-氯-6-甲氧基-1H-吲哚-3-基)硫)-N-(2-乙氧基苯基)乙酰胺衍生物的硅内设计

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引用次数: 0

摘要

流感病毒的传播在很大程度上是由其变异和不同毒株的基因组重组引起的,从而导致耐药性和大流行。因此,有必要发现更多潜在的流感抑制剂,以防止未来的流行。在此,我们利用以前工作中发现的具有良好结合亲和力、预测活性和药代动力学特性的 21 号化合物,采用了一种内嵌方法设计了六种新的(21a-f)潜在流感神经氨酸酶(NA)抑制剂。新设计化合物的模型活性(pEC50)(介于 8.188 和 7.600 之间)优于预测活性(pEC50)为 6.0101 的命中化合物 21 和作为标准参考对照的扎那米韦(pEC50 为 5.6755)。这些新设计化合物在 NA 结合腔中的 MolDock 得分(介于 -189.67 和 -142.47 kcal/mol 之间)也优于 MolDock 得分为 -125.33 kcal/mol 的命中模板 21 和扎那米韦标准药物(-136.36 kcal/mol)。此外,还通过 100 ns 的 MD 模拟进一步研究了最佳设计化合物 21a 在 NA 结合腔中的构象稳定性。此外,这些设计化合物的药物相似性和 ADMET 预测分别显示了其良好的口服生物利用度和药代动力学特征。此外,前沿分子轨道计算显示,这些设计化合物的带能隙较小,因此 DFT 计算也揭示了它们的相关性。这项研究为寻找和发现潜在的抗流感药物提供了一个可靠的硅学视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In-silico design of novel 2-((4-chloro-6-methoxy-1H-indol-3-yl)thio)-N-(2-ethoxyphenyl)acetamide derivatives as potential inhibitors of influenza neuraminidase protein receptor

Influenza virus transmission is largely mediated by its mutation and genome reassortment from distinct strains resulting in drug-resistances and pandemics. This necessitates the need for the discovery of more potential influenza inhibitors to prevent future epidemics. An in-silico approach was utilized here to design six new (21a-f) potential inhibitors of influenza neuraminidase (NA) using a hit compound 21 with good binding affinity, predicted activity, and pharmacokinetic properties in our previous work. The modeled activities (pEC50) of the newly designed compounds (ranging between 8.188 and 7.600) were better than that of the hit compound 21 with predicted activity (pEC50) of 6.0101 and zanamivir (pEC50 of 5.6755) as the standard reference control used. The MolDock scores (ranging between −189.67 and −142.47 ​kcal/mol) of these newly designed compounds in the NA binding cavity were also better than the hit template 21 with a MolDock score of −125.33 ​kcal/mol and zanamivir standard drug (−136.36 ​kcal/mol). In addition, the conformational stability of the best-designed compound 21a in the NA binding cavity was further studied through the MD simulation of 100 ​ns. Moreover, the drug-likeness and ADMET predictions of these designed compounds showed their good oral bioavailability and pharmacokinetic profiling respectively. More so, the DFT calculations also revealed the relevance of these designed compounds in view of their smaller band energy gaps from the frontier molecular orbital calculations. This study could serve as a reliable in-silico perspective for the search and discovery of potential anti-influenza agents.

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