Tam Nguyen Minh, Pham Minh Quan, Nguyen Huy Truong, Hong Nam Dao, Hien Nguyen Khoa, Quang Duong Tuan, Thu Phung Huong Thi, Ngo Son Tung
Computational Chemistry Research Group, Ton Duc Thang University Ho Chi Minh City Vietnam.
Faculty of Applied Sciences, Ton Duc Thang University Ho Chi Minh City Vietnam.
RSC Adv. 2021 Jun 23;11(36):22206-22213. doi: 10.1039/d1ra03852d. eCollection 2021 Jun 21.
Preventing the biological activity of SARS-CoV-2 main protease using natural compounds is of great interest. In this context, using a combination of AutoDock Vina and fast pulling of ligand simulations, eleven marine fungi compounds were identified that probably play as highly potent inhibitors for preventing viral replication. In particular, four compounds including M15 (3--(6--α-l-arabinopyranosyl)-β-d-glucopyranosyl-1,4-dimethoxyxanthone), M8 (), M11 (cottoquinazolines B), and M9 () adopted the predicted ligand-binding free energy of -9.87, -9.82, -9.62, and -9.35 kcal mol, respectively, whereas the other adopted predicted ligand-binding free energies in the range from -8.54 to -8.94 kcal mol. The results were obtained using a combination of Vina and FPL simulations. Notably, although, AutoDock4 adopted higher accurate results in comparison with Vina, Vina is proven to be a more suitable technique for rapidly screening ligand-binding affinity with a large database of compounds since it requires much smaller computing resources. Furthermore, FPL is better than Vina to classify inhibitors upon ROC-AUC analysis.
利用天然化合物抑制严重急性呼吸综合征冠状病毒2(SARS-CoV-2)主要蛋白酶的生物活性备受关注。在此背景下,结合使用AutoDock Vina和配体快速拉动模拟,鉴定出11种海洋真菌化合物,它们可能作为高效抑制剂来阻止病毒复制。特别是,四种化合物,包括M15(3--(6--α-L-阿拉伯吡喃糖基)-β-D-吡喃葡萄糖基-1,4-二甲氧基呫吨酮)、M8()、M11(棉喹唑啉B)和M9(),其预测的配体结合自由能分别为-9.87、-9.82、-9.62和-9.35千卡/摩尔,而其他化合物的预测配体结合自由能在-8.54至-8.94千卡/摩尔范围内。这些结果是通过Vina和FPL模拟相结合获得的。值得注意的是,尽管与Vina相比,AutoDock4的结果更准确,但Vina被证明是一种更适合用大量化合物数据库快速筛选配体结合亲和力的技术,因为它所需的计算资源要少得多。此外,在ROC-AUC分析中,FPL比Vina更适合对抑制剂进行分类。