Giri R(1), Bhardwaj T(2), Shegane M(2), Gehi BR(2), Kumar P(2), Gadhave K(2), Oldfield CJ(3), Uversky VN(4)(5). Author information:
(1)School of Basic Sciences, Indian Institute of Technology Mandi, VPO Kamand,
Mandi, Himachal Pradesh, 175005, India. [Email]
(2)School of Basic Sciences, Indian Institute of Technology Mandi, VPO Kamand,
Mandi, Himachal Pradesh, 175005, India.
(3)Department of Computer Science, Virginia Commonwealth University, Richmond,
(4)Department of Molecular Medicine, Byrd Alzheimer's Research Institute,
Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
(5)Laboratory of New Methods in Biology, Institute for Biological
Instrumentation of the Russian Academy of Sciences, Federal Research Center
"Pushchino Scientific Center for Biological Research of the Russian Academy of
Sciences", Moscow region, Pushchino, 142290, Russia.
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.
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