Alqahtani Safar M
Department of Pharmaceutical Chemistry, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al Kharj, Saudi Arabia.
Front Pharmacol. 2025 Feb 5;16:1459581. doi: 10.3389/fphar.2025.1459581. eCollection 2025.
The COVID-19 pandemic caused by SARS-CoV-2 still lacks effective antiviral drugs. Therefore, a thorough receptor-based virtual screening study was conducted to screen different natural and synthetic drug libraries, such as the Asinex Antiviral, Seaweed Metabolite Database, Medicinal Fungi Secondary Metabolite and Therapeutics Library, and Comprehensive Marine Natural Products Database comprising 6,827, 1,191, 1,830, and 45,000 compounds, respectively, against the main protease enzyme of SARS-CoV-2. Accordingly, three drug molecules (BBB-26580140, BDE-32007849, and LAS-51378804) are highlighted as the best binding molecules to the main protease S1 pocket. The docking binding energy scores of BBB-26580140, BDE-32007849, and LAS-51378804 were -13.02, -13.0, and -12.56 kcal/mol, respectively. Compared to the control Z1741970824 molecule with a binding energy score of -11.59 kcal/mol, the lead structures identified herein showed robust hydrophilic and van der Waals interactions with the enzyme active site residues, such as His41 and Cys145, and achieved highly stable binding modes. The simulations showed a stable structure of the main protease enzyme with the shortlisted leads in the pocket, and the network of binding interactions remained intact during the simulations. The overall molecular mechanics with generalized Born and surface area solvation binding energies of the BBB-26580140, BDE-32007849, LAS-51378804, and control molecules are -53.02, -56.85, -55.44, and -48.91 kcal/mol, respectively. Similarly, the net molecular mechanics Poisson-Boltzmann surface area binding energies of BBB-26580140, BDE-32007849, LAS-51378804, and control are -53.6, -57.61, -54.41, and -50.09 kcal/mol, respectively. The binding entropy energies of these systems showed lower free energies, indicating their stable nature. Furthermore, the binding energies were revalidated using the water swap method that considers the role of the water molecules in bridging the ligands to the enzyme active site residues. The compounds also revealed good ADMET properties and followed all major rules of drug-likeness. Thus, these compounds are predicted as promising leads and can be subjected to further experimental studies for evaluation of their biological activities.
由严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引起的2019冠状病毒病(COVID-19)大流行仍然缺乏有效的抗病毒药物。因此,我们进行了一项基于受体的全面虚拟筛选研究,以针对SARS-CoV-2的主要蛋白酶,筛选不同的天然和合成药物库,如分别包含6827、1191、1830和45000种化合物的阿西尼克斯抗病毒库、海藻代谢物数据库、药用真菌次生代谢物及治疗剂库和综合海洋天然产物数据库。据此,三种药物分子(BBB-26580140、BDE-32007849和LAS-51378804)被突出显示为与主要蛋白酶S1口袋的最佳结合分子。BBB-26580140、BDE-32007849和LAS-51378804的对接结合能分数分别为-13.02、-13.0和-12.56千卡/摩尔。与结合能分数为-11.59千卡/摩尔的对照Z1741970824分子相比,本文确定的先导结构与酶活性位点残基(如His41和Cys145)表现出强大的亲水和范德华相互作用,并实现了高度稳定的结合模式。模拟显示主要蛋白酶与口袋中入围的先导物形成稳定结构,并且在模拟过程中结合相互作用网络保持完整。BBB-26580140、BDE-32007849、LAS-51378804和对照分子的广义Born和表面积溶剂化结合能的整体分子力学分别为-53.02、-56.85、-55.44和-48.91千卡/摩尔。同样,BBB-26580140、BDE-32007849、LAS-51378804和对照的净分子力学泊松-玻尔兹曼表面积结合能分别为-53.6、-57.61、-54.41和-50.09千卡/摩尔。这些系统的结合熵能显示出较低的自由能,表明它们的稳定性。此外,使用考虑水分子在将配体与酶活性位点残基桥接中的作用的水交换方法对结合能进行了重新验证。这些化合物还显示出良好的药物代谢动力学、药物代谢和毒性性质,并遵循所有主要的类药规则。因此,这些化合物被预测为有前景的先导物,可进行进一步的实验研究以评估其生物活性。