Altay Ozlem, Mohammadi Elyas, Lam Simon, Turkez Hasan, Boren Jan, Nielsen Jens, Uhlen Mathias, Mardinoglu Adil
Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm 17121, Sweden.
Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm 17121, Sweden; Department of Animal Science, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran.
iScience. 2020 Jul 24;23(7):101303. doi: 10.1016/j.isci.2020.101303. Epub 2020 Jun 20.
The rapid and global spread of a new human coronavirus (SARS-CoV-2) has produced an immediate urgency to discover promising targets for the treatment of COVID-19. Drug repositioning is an attractive approach that can facilitate the drug discovery process by repurposing existing pharmaceuticals to treat illnesses other than their primary indications. Here, we review current information concerning the global health issue of COVID-19 including promising approved drugs and ongoing clinical trials for prospective treatment options. In addition, we describe computational approaches to be used in drug repurposing and highlight examples of in silico studies of drug development efforts against SARS-CoV-2.
一种新型人类冠状病毒(SARS-CoV-2)在全球迅速传播,这使得立刻寻找治疗新冠肺炎(COVID-19)的潜在靶点变得迫在眉睫。药物重新定位是一种颇具吸引力的方法,它可以通过将现有药物用于治疗其主要适应症以外的疾病,来加快药物研发进程。在此,我们综述了有关COVID-19这一全球健康问题的当前信息,包括有前景的已批准药物和正在进行的前瞻性治疗方案临床试验。此外,我们描述了药物重新定位中使用的计算方法,并重点介绍了针对SARS-CoV-2的药物研发工作的计算机模拟研究实例。