School of Basic Sciences, Indian Institute of Technology Mandi, VPO Kamand, Mandi, Himachal Pradesh, 175005, India.
Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA.
Cell Mol Life Sci. 2021 Feb;78(4):1655-1688. doi: 10.1007/s00018-020-03603-x. Epub 2020 Jul 25.
The recently emerged coronavirus designated as SARS-CoV-2 (also known as 2019 novel coronavirus (2019-nCoV) or Wuhan coronavirus) is a causative agent of coronavirus disease 2019 (COVID-19), which is rapidly spreading throughout the world now. More than 1.21 million cases of SARS-CoV-2 infection and more than 67,000 COVID-19-associated mortalities have been reported worldwide till the writing of this article, and these numbers are increasing every passing hour. The World Health Organization (WHO) has declared the SARS-CoV-2 spread as a global public health emergency and admitted COVID-19 as a pandemic now. Multiple sequence alignment data correlated with the already published reports on SARS-CoV-2 evolution indicated that this virus is closely related to the bat severe acute respiratory syndrome-like coronavirus (bat SARS-like CoV) and the well-studied human SARS coronavirus (SARS-CoV). The disordered regions in viral proteins are associated with the viral infectivity and pathogenicity. Therefore, in this study, we have exploited a set of complementary computational approaches to examine the dark proteomes of SARS-CoV-2, bat SARS-like, and human SARS CoVs by analysing the prevalence of intrinsic disorder in their proteins. According to our findings, SARS-CoV-2 proteome contains very significant levels of structural order. In fact, except for nucleocapsid, Nsp8, and ORF6, the vast majority of SARS-CoV-2 proteins are mostly ordered proteins containing less intrinsically disordered protein regions (IDPRs). However, IDPRs found in SARS-CoV-2 proteins are functionally important. For example, cleavage sites in its replicase 1ab polyprotein are found to be highly disordered, and almost all SARS-CoV-2 proteins contains molecular recognition features (MoRFs), which are intrinsic disorder-based protein-protein interaction sites that are commonly utilized by proteins for interaction with specific partners. The results of our extensive investigation of the dark side of SARS-CoV-2 proteome will have important implications in understanding the structural and non-structural biology of SARS or SARS-like coronaviruses.
新出现的冠状病毒被指定为 SARS-CoV-2(也称为 2019 年新型冠状病毒(2019-nCoV)或武汉冠状病毒)是导致 2019 年冠状病毒病(COVID-19)的病原体,目前正在全球迅速传播。截至本文撰写之时,全球已报告超过 121 万例 SARS-CoV-2 感染和超过 67000 例与 COVID-19 相关的死亡病例,并且这些数字每小时都在增加。世界卫生组织(WHO)已宣布 SARS-CoV-2 传播为全球公共卫生紧急事件,并将 COVID-19 宣布为大流行。与已经发表的 SARS-CoV-2 进化报告相关的多序列比对数据表明,这种病毒与蝙蝠严重急性呼吸系统综合征样冠状病毒(bat SARS-like CoV)和研究充分的人类 SARS 冠状病毒(SARS-CoV)密切相关。病毒蛋白中的无序区域与病毒的感染力和致病性有关。因此,在这项研究中,我们利用了一组互补的计算方法,通过分析其蛋白质中固有无序的普遍性来研究 SARS-CoV-2、bat SARS-like 和人类 SARS-CoV 的暗蛋白组。根据我们的发现,SARS-CoV-2 蛋白质组含有非常显著的结构有序性。事实上,除了核衣壳、Nsp8 和 ORF6 之外,绝大多数 SARS-CoV-2 蛋白都是主要有序的蛋白,含有较少的固有无序蛋白区域(IDPRs)。然而,SARS-CoV-2 蛋白中的 IDPRs 具有重要的功能。例如,其复制酶 1ab 多蛋白中的切割位点被发现高度无序,并且几乎所有 SARS-CoV-2 蛋白都包含分子识别特征(MoRFs),这是基于固有无序的蛋白质-蛋白质相互作用位点,蛋白质通常利用这些位点与特定的伴侣相互作用。对 SARS-CoV-2 蛋白质组暗区进行广泛研究的结果将对理解 SARS 或 SARS-like 冠状病毒的结构和非结构生物学具有重要意义。