Department of Bioinformatics and Genetics, Faculty of Engineering and Natural Sciences, Kadir Has University, Istanbul, Turkey.
J Biomol Struct Dyn. 2021 May;39(8):2980-2992. doi: 10.1080/07391102.2020.1758791. Epub 2020 Apr 26.
In December 2019, COVID-19 epidemic was described in Wuhan, China, and the infection has spread widely affecting hundreds of thousands. Herein, an effort was made to identify commercially available drugs in order to repurpose them against coronavirus by the means of structure-based virtual screening. In addition, ZINC15 library was used to identify novel leads against main proteases. Human TMPRSS2 3D structure was first generated using homology modeling approach. Our molecular docking study showed four potential inhibitors against Mpro enzyme, two available drugs (Talampicillin and Lurasidone) and two novel drug-like compounds (ZINC000000702323 and ZINC000012481889). Moreover, four promising inhibitors were identified against TMPRSS2; Rubitecan and Loprazolam drugs, and compounds ZINC000015988935 and ZINC000103558522. ADMET profile showed that the hits from our study are safe and drug-like compounds. Furthermore, molecular dynamic (MD) simulation and binding free energy calculation using the MM-PBSA method was performed to calculate the interaction energy of the top-ranked drugs.Communicated by Ramaswamy H. Sarma.
2019 年 12 月,COVID-19 疫情在中国武汉被描述,感染已广泛传播,影响了数十万人。在此,我们试图通过基于结构的虚拟筛选来识别市售药物,以将其重新用于对抗冠状病毒。此外,还使用 ZINC15 库来鉴定针对主要蛋白酶的新型先导化合物。首先使用同源建模方法生成人类 TMPRSS2 的 3D 结构。我们的分子对接研究显示,有四种潜在的抑制剂可对抗 Mpro 酶,其中两种是现有药物(他莫昔芬和鲁拉西酮),另外两种是新型类药化合物(ZINC000000702323 和 ZINC000012481889)。此外,还鉴定出四种针对 TMPRSS2 的有前途的抑制剂;鲁比替康和洛拉曲酮药物,以及化合物 ZINC000015988935 和 ZINC000103558522。ADMET 分析表明,我们研究中的命中化合物具有安全性和类药性。此外,还使用 MM-PBSA 方法进行了分子动力学(MD)模拟和结合自由能计算,以计算排名靠前的药物的相互作用能。通讯作者是 Ramaswamy H. Sarma。