Department of Biomedical Sciences, College of Veterinary Medicine, King Faisal University, Al-ahsa, Saudi Arabia.
Department of Pharmacology, Faculty of Veterinary Medicine, Kafrelshikh University, Kafrelshikh, Egypt.
J Biomol Struct Dyn. 2021 Sep;39(14):5129-5136. doi: 10.1080/07391102.2020.1784291. Epub 2020 Jun 29.
SARS-CoV-2 or Coronavirus disease 19 (COVID-19) is a rapidly spreading, highly contagious, and sometimes fatal disease for which drug discovery and vaccine development are critical. SARS-CoV-2 papain-like protease (PL) was used to virtually screen 1697 clinical FDA-approved drugs. Among the top results expected to bind with SARS-CoV-2 PL strongly were three cell protectives and antioxidants (NAD+, quercitrin, and oxiglutatione), three antivirals (ritonavir, moroxydine, and zanamivir), two antimicrobials (doripenem and sulfaguanidine), two anticancer drugs, three benzimidazole anthelmintics, one antacid (famotidine), three anti-hypertensive ACE receptor blockers (candesartan, losartan, and valsartan) and other miscellaneous systemically or topically acting drugs. The binding patterns of these drugs were superior to the previously identified SARS CoV PL inhibitor, 6-mercaptopurine (6-MP), suggesting a potential for repurposing these drugs to treat COVID-19. The objective of drug repurposing is the rapid relocation of safe and approved drugs by bypassing the lengthy pharmacokinetic, toxicity, and preclinical phases. The ten drugs with the highest estimated docking scores with favorable pharmacokinetics were subjected to molecular dynamics (MD) simulations followed by molecular mechanics/generalized Born surface area (MM/GBSA) binding energy calculations. Phenformin, quercetin, and ritonavir all demonstrated prospective binding affinities for COVID-19 PL over 50 ns MD simulations, with binding energy values of -56.6, -40.9, and -37.6 kcal/mol, respectively. Energetic and structural analyses showed phenformin was more stable than quercetin and ritonavir. The list of the drugs provided herein constitutes a primer for clinical application in COVID-19 patients and guidance for further antiviral studies.Communicated by Ramaswamy H. Sarma.
严重急性呼吸系统综合征冠状病毒 2 型(SARS-CoV-2)或 2019 年冠状病毒病(COVID-19)是一种传播迅速、传染性强且有时致命的疾病,药物发现和疫苗开发至关重要。使用 SARS-CoV-2 木瓜蛋白酶样蛋白酶(PL)对 1697 种临床批准的 FDA 药物进行虚拟筛选。预计与 SARS-CoV-2 PL 强烈结合的前 10 种结果包括三种细胞保护剂和抗氧化剂(NAD+、槲皮素和氧化谷胱甘肽)、三种抗病毒药物(利托那韦、吗啉硝唑和扎那米韦)、两种抗菌药物(多利培南和磺胺嘧啶)、两种抗癌药物、三种苯并咪唑驱虫药、一种抗酸剂(法莫替丁)、三种抗高血压 ACE 受体阻滞剂(坎地沙坦、氯沙坦和缬沙坦)和其他各种全身性或局部作用的药物。这些药物的结合模式优于先前确定的 SARS CoV PL 抑制剂 6-巯基嘌呤(6-MP),表明这些药物有重新用于治疗 COVID-19 的潜力。药物重新定位的目的是通过绕过漫长的药代动力学、毒性和临床前阶段,快速重新利用安全和批准的药物。与 SARS-CoV-2 PL 结合的十种估计对接分数最高且具有良好药代动力学的药物进行了分子动力学(MD)模拟,随后进行了分子力学/广义 Born 表面面积(MM/GBSA)结合能计算。二甲双胍、槲皮素和利托那韦在超过 50ns MD 模拟中均显示出对 COVID-19 PL 的潜在结合亲和力,结合能值分别为-56.6、-40.9 和-37.6kcal/mol。能量和结构分析表明,二甲双胍比槲皮素和利托那韦更稳定。本文提供的药物清单为 COVID-19 患者的临床应用提供了指导,并为进一步的抗病毒研究提供了指导。由 Ramaswamy H. Sarma 传达。