Evidence map›Paper›PMID 32712910›Full record

ArticleCellular and molecular life sciences : CMLS2021

Understanding COVID-19 via comparative analysis of dark proteomes of SARS-CoV-2, human SARS and bat SARS-like coronaviruses.

Rajanish Giri, Taniya Bhardwaj, Meenakshi Shegane, Bhuvaneshwari R Gehi, Prateek Kumar, Kundlik Gadhave, Christopher J Oldfield, Vladimir N Uversky

Open access · hybridAbstract read
In one paragraph

Article in Cellular and molecular life sciences : CMLS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 125 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Mutations in SARS-CoV-2: Insights on structure, variants, vaccines, and biomedical interventions.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 3 countries.

Rajanish GiriSchool of Basic Sciences, Indian Institute of Technology Mandi, VPO Kamand, Mandi, Himachal Pradesh, 175005, India. rajanishgiri@iitmandi.ac.in.ORCID http://orcid.org/0000-0002-2046-836X
Taniya BhardwajSchool of Basic Sciences, Indian Institute of Technology Mandi, VPO Kamand, Mandi, Himachal Pradesh, 175005, India.
Meenakshi SheganeSchool of Basic Sciences, Indian Institute of Technology Mandi, VPO Kamand, Mandi, Himachal Pradesh, 175005, India.
Bhuvaneshwari R GehiSchool of Basic Sciences, Indian Institute of Technology Mandi, VPO Kamand, Mandi, Himachal Pradesh, 175005, India.
Prateek KumarSchool of Basic Sciences, Indian Institute of Technology Mandi, VPO Kamand, Mandi, Himachal Pradesh, 175005, India.
Kundlik GadhaveSchool of Basic Sciences, Indian Institute of Technology Mandi, VPO Kamand, Mandi, Himachal Pradesh, 175005, India.
Christopher J OldfieldDepartment of Computer Science, Virginia Commonwealth University, Richmond, VA, USA.
Vladimir N UverskyDepartment of Molecular Medicine, Byrd Alzheimer's Research Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
Indian Institute of Technology Mandi · INUniversity of South Florida · USVirginia Commonwealth University · US

Funding

Department of Biotechnology, Government of India BT/11/IYBA/2018/06
6 · The paper itself

Abstract

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.

Indexed as

AnimalsBetacoronavirusChiropteraCoronavirus InfectionsDNA-Binding ProteinsHumansIntrinsically Disordered ProteinsModels, MolecularProtein BindingProtein Interaction Domains and MotifsProteomeRNA-Binding MotifsSARS-CoV-2Structure-Activity RelationshipViral ProteinsDNA-Binding ProteinsIntrinsically Disordered ProteinsProteomeViral ProteinsCoronavirus disease 2019Intrinsically disordered proteinsMolecular recognition featuresNucleotide-binding regionsSARS coronavirus

Identifiers

PMID32712910
PMCPMC7382329
OpenAlexW3044676116

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.