Khan Abbas, Liaqat Ayesha, Masood Adan, Ali Syed Shujait, Ali Liaqat, Alshammari Abdulrahman, Alasmari Abdullah F, Mohammad Anwar, Waheed Yasir, Wei Dong-Qing
Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, PR China.
Zhongjing Research and Industrialization Institute of Chinese Medicine, Zhongguancun Scientific Park, Meixi, Nayang, Henan 473006, PR China.
Saudi Pharm J. 2023 Oct;31(10):101775. doi: 10.1016/j.jsps.2023.101775. Epub 2023 Aug 30.
The growing concerns and cases of COVID-19 with the appearance of novel variants i.e., BA.2.75. BA.5 and XBB have prompted demand for more effective treatment options that could overcome the risk of immune evasion. For this purpose, discovering novel small molecules to inhibit druggable proteins such as PLpro required for viral pathogenesis, replication, survival, and spread is the best choice. Compounds from the Dark chemical matter (DCM) database is consistently active in various screening tests and offer intriguing possibilities for finding drugs that are extremely selective or active against uncommon targets. Considering the essential role of PLpro, the current study uses DCMdatabase for the identification of potential hits using in silico virtual molecular screening and simulation approaches to inhibit the current and emerging variants of SARS-CoV-2. Our results revealed the 10 best compounds with docking scores between -7.99 to -7.03 kcal/mol better than the control drug (GRL0617) among which DC 5977-0726, DC 6623-2024, DC C879-0379 and DC D135-0154 were observed as the best hits. Structural-dynamics properties such as dynamic stability, protein packing, and residue flexibility demonstrated the pharmacologically favorable properties of these top hits in contrast to GRL0617. The hydrogen bonding half-life revealed that Asp164, Arg166, Tyr264, and Tyr268 have major contributions to the hydrogen bonding during the simulation. However, some of the important hydrogen bonds were missing in the control drug (GRL0617). Finally, the total binding free energy was reported to be -34.41 kcal/mol for GRL0617 (control), -41.03 kcal/mol for the DC5977-0726-PLpro, for the DC6623-2024-Plpro complex the TBE was -48.87 kcal/mol, for the for DCC879-0379-Plpro complex the TBE was -45.66 kcal/mol while for the DCD135-0154-PLpro complex the TBE was calculated to be -40.09 kcal/mol respectively, which shows the stronger potency of these compounds against PLpro and further in and test are required for the possible usage as potential drug against SARS-CoV-2.
随着新冠病毒新变种(即BA.2.75、BA.5和XBB)的出现,人们对新冠疫情的担忧日益增加,病例也不断出现,这促使人们需要更有效的治疗方案,以克服免疫逃逸风险。为此,发现能够抑制病毒发病机制、复制、存活和传播所需的可成药蛋白(如木瓜蛋白酶样蛋白酶(PLpro))的新型小分子是最佳选择。来自暗化学物质(DCM)数据库的化合物在各种筛选测试中始终表现出活性,并为寻找对罕见靶点具有极高选择性或活性的药物提供了有趣的可能性。考虑到PLpro的重要作用,本研究使用DCM数据库,通过计算机虚拟分子筛选和模拟方法来识别潜在的有效化合物,以抑制新冠病毒的现有变种和新出现的变种。我们的结果显示,有10种最佳化合物的对接分数在-7.99至-7.03千卡/摩尔之间,优于对照药物(GRL0617),其中DC 5977-0726、DC 6623-2024、DC C879-0379和DC D135-0154被视为最佳命中化合物。与GRL0617相比,动态稳定性、蛋白质堆积和残基灵活性等结构动力学特性表明这些顶级命中化合物具有药理学上的有利特性。氢键半衰期显示,在模拟过程中,天冬氨酸164、精氨酸166、酪氨酸264和酪氨酸268对氢键形成有主要贡献。然而,对照药物(GRL0617)中缺少一些重要的氢键。最后,据报道,GRL0617(对照)的总结合自由能为-34.41千卡/摩尔,DC5977-0726与PLpro复合物为-41.03千卡/摩尔,DC6623-2024与PLpro复合物的总结合能为-48.87千卡/摩尔,DCC879-0379与PLpro复合物的总结合能为-45.66千卡/摩尔,而DCD135-0154与PLpro复合物的总结合能经计算为-40.09千卡/摩尔,这表明这些化合物对PLpro具有更强的效力,若要作为抗新冠病毒的潜在药物使用,还需要进一步进行体内和体外试验。