Bello Martiniano, Martínez-Muñoz Alberto, Balbuena-Rebolledo Irving
Laboratorio de Modelado Molecular, Bioinformática y Diseño de Fármacos de la Escuela Superior de Medicina, Instituto Politécnico Nacional, México, Plan de San Luis Y Diaz Mirón S/N, Col. Casco de Santo Tomas, 11340, México City, Mexico.
J Mol Model. 2020 Nov 12;26(12):340. doi: 10.1007/s00894-020-04600-4.
Among targets selected for studies aimed at identifying potential inhibitors against COVID-19, SARS-CoV2 main proteinase (M) is highlighted. M is indispensable for virus replication and is a promising target of potential inhibitors of COVID-19. Recently, monomeric SARS-CoV2 M, drug repurposing, and docking methods have facilitated the identification of several potential inhibitors. Results were refined through the assessment of dimeric SARS-CoV2 M, which represents the functional state of enzyme. Docking and molecular dynamics (MD) simulations combined with molecular mechanics/generalized Born surface area (MM/GBSA) studies indicated that dimeric M most significantly impacts binding affinity tendency compared with the monomeric state, which suggests that dimeric state is most useful when performing studies aimed at identifying drugs targeting M. In this study, we extend previous research by performing docking and MD simulation studies coupled with an MM/GBSA approach to assess binding of dimeric SARS-CoV2 M to 12 FDA-approved drugs (darunavir, indinavir, saquinavir, tipranavir, diosmin, hesperidin, rutin, raltegravir, velpatasvir, ledipasvir, rosuvastatin, and bortezomib), which were identified as the best candidates for the treatment of COVID-19 in some previous dockings studies involving monomeric SARS-CoV2 M. This analysis identified saquinavir as a potent inhibitor of dimeric SARS-CoV2 M; therefore, the compound may have clinical utility against COVID-19. Graphical abstract.
在旨在鉴定针对新型冠状病毒肺炎(COVID-19)潜在抑制剂的研究中所选择的靶点里,严重急性呼吸综合征冠状病毒2(SARS-CoV-2)主要蛋白酶(M)备受关注。M对于病毒复制不可或缺,是COVID-19潜在抑制剂的一个有前景的靶点。最近,单体SARS-CoV-2 M、药物重新利用和对接方法促进了几种潜在抑制剂的鉴定。通过对代表酶功能状态的二聚体SARS-CoV-2 M的评估,结果得到了完善。对接和分子动力学(MD)模拟结合分子力学/广义玻恩表面积(MM/GBSA)研究表明,与单体状态相比,二聚体M对结合亲和力趋势的影响最为显著,这表明在进行旨在鉴定靶向M的药物的研究时,二聚体状态最为有用。在本研究中,我们通过进行对接和MD模拟研究,并结合MM/GBSA方法,扩展了先前的研究,以评估二聚体SARS-CoV-2 M与12种美国食品药品监督管理局(FDA)批准的药物(达芦那韦、茚地那韦、沙奎那韦、替拉那韦、地奥司明、橙皮苷、芦丁、拉替拉韦、维帕他韦、来迪帕司韦、瑞舒伐他汀和硼替佐米)的结合,这些药物在先前一些涉及单体SARS-CoV-2 M的对接研究中被确定为治疗COVID-19的最佳候选药物。该分析确定沙奎那韦是二聚体SARS-CoV-2 M的有效抑制剂;因此,该化合物可能对COVID-19具有临床应用价值。图形摘要。