Balakrishnan Vijayakumar, Lakshminarayanan Karthik
São Carlos Institute of Physics (IFSC), University of São Paulo, Av. Joao Dagnone, 1100 - Jardim Santa Angelina, São Carlos, 13563-120 Brazil.
ToxiVen Biotech, Siva Nagar, Kovaipudur, Tamil Nadu 641042 India.
Int J Pept Res Ther. 2021;27(1):651-658. doi: 10.1007/s10989-020-10115-6. Epub 2020 Sep 28.
At the end of December 2019, a new strain of coronavirus was identified in the Wuhan city of Hubei province in China. Within a shorter period of time, an unprecedented outbreak of this strain was witnessed over the entire Wuhan city. This novel coronavirus strain was later officially renamed as COVID-19 (Coronavirus disease 2019) by the World Health Organization. The mode of transmission was human-to-human contact and hence resulted in a rapid surge across the globe where more than 24 million people have been infected with COVID-19. In the current scenario, finding potent drug candidates for the treatment of COVID-19 has emerged as the most challenging task for clinicians and researchers worldwide. Identification of new drugs and vaccine development may take from a few months to years based on the clinical trial processes. To overcome the several limitations involved in identifying and bringing out potent drug candidates for treating COVID-19, in the present study attempts were made to screen the FDA approved drugs using High Throughput Virtual Screening (HTVS). The COVID-19 main protease (COVID-19 Mpro) was chosen as the drug target for which the FDA approved drugs were initially screened with HTVS. The drug candidates that exhibited favorable docking score, energy, and emodel calculations were further taken for performing Induced Fit Docking (IFD) using Schrodinger's GLIDE. From the flexible docking results, the following four FDA approved drugs Sincalide, Pentagastrin, Ritonavir, and Phytonadione were identified. In particular, Sincalide and Pentagastrin can be considered potential key players for the treatment of COVID-19 disease.
2019年12月底,在中国湖北省武汉市发现了一种新型冠状病毒。在较短时间内,整个武汉市见证了这种病毒前所未有的爆发。这种新型冠状病毒毒株后来被世界卫生组织正式命名为COVID-19(2019冠状病毒病)。其传播方式为人传人,因此在全球迅速蔓延,已有超过2400万人感染了COVID-19。在当前情况下,寻找治疗COVID-19的有效候选药物已成为全球临床医生和研究人员最具挑战性的任务。根据临床试验过程,新药的识别和疫苗的研发可能需要数月至数年时间。为了克服在识别和推出治疗COVID-19的有效候选药物方面存在的诸多限制,在本研究中,尝试使用高通量虚拟筛选(HTVS)对美国食品药品监督管理局(FDA)批准的药物进行筛选。选择COVID-19主要蛋白酶(COVID-19 Mpro)作为药物靶点,首先用HTVS对FDA批准的药物进行筛选。对表现出良好对接分数、能量和电子模型计算结果的候选药物,进一步使用薛定谔公司的GLIDE进行诱导契合对接(IFD)。从灵活对接结果中,确定了以下四种FDA批准的药物:辛卡利特、五肽胃泌素、利托那韦和维生素K1。特别是,辛卡利特和五肽胃泌素可被视为治疗COVID-19疾病的潜在关键药物。