Balaramnavar Vishal M, Ahmad Khurshid, Saeed Mohd, Ahmad Irfan, Kamal Mehnaz, Jawed Talaha
Department of Medicinal and Pharmaceutical Chemistry, Global Institute of Pharmaceutical Education and Research Jaspur Road Kashipur 244713 India
Department of Medical Biotechnology, Yeungnam University Gyeongsan 38541 South Korea.
RSC Adv. 2020 Nov 4;10(66):40264-40275. doi: 10.1039/d0ra06038k. eCollection 2020 Nov 2.
Novel coronavirus (CoV) is the primary etiological virus responsible for the pandemic that started in Wuhan in 2019-2020. This viral disease is extremely prevalent and has spread around the world. Preventive steps are restricted social contact and isolation of the sick individual to avoid person-to-person transmission. There is currently no cure available for the disease and the search for novel medications or successful therapeutics is intensive, time-consuming, and laborious. An effective approach in managing this pandemic is to develop therapeutically active drugs by repurposing or repositioning existing drugs or active molecules. In this work, we developed a feature-based pharmacophore model using reported compounds that inhibit SARS-CoV-2. This model was validated and used to screen the library of 565 FDA-approved drugs against the viral main protease (M), resulting in 66 drugs interacting with M with higher binding scores in docking experiments than drugs previously reported for the target diseases. The study identified drugs from many important classes, D receptor antagonist, HMG-CoA inhibitors, HIV reverse transcriptase and protease inhibitors, anticancer agents and folate inhibitors, which can potentially interact with and inhibit the SARS-CoV-2 M. This validated approach may help in finding the urgently needed drugs for the SARS-CoV-2 pandemic with infinitesimal chances of failure.
新型冠状病毒(CoV)是2019 - 2020年始于武汉的大流行的主要病原病毒。这种病毒性疾病极为普遍,已在全球传播。预防措施包括限制社交接触以及隔离患病个体以避免人际传播。目前该疾病尚无治愈方法,寻找新型药物或成功的治疗方法既密集、耗时又费力。应对这场大流行的一种有效方法是通过重新利用或重新定位现有药物或活性分子来开发具有治疗活性的药物。在这项工作中,我们利用已报道的抑制严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的化合物开发了一种基于特征的药效团模型。该模型经过验证,并用于筛选565种美国食品药品监督管理局(FDA)批准的针对病毒主要蛋白酶(M)的药物库,在对接实验中,有66种药物与M相互作用,其结合分数高于先前报道的针对目标疾病的药物。该研究从许多重要类别中鉴定出了药物,如D受体拮抗剂、3-羟基-3-甲基戊二酰辅酶A(HMG-CoA)抑制剂、HIV逆转录酶和蛋白酶抑制剂、抗癌药物和叶酸抑制剂,这些药物可能与SARS-CoV-2 M相互作用并抑制它。这种经过验证的方法可能有助于找到应对SARS-CoV-2大流行急需的药物,且失败几率极小。