Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,114

The DOI matches its Crossref record; 140 of the 140 references it cites were found in a registry or an index.

Insights into SARS-CoV-2 genome, structure, evolution, pathogenesis and therapies: Structural genomics approach

Open access
Naqvi, Ahmad Abu Turab, Fatima, Kisa, Mohammad, Taj, Fatima, Urooj, Singh, Indrakant K., Singh, Archana, Atif, Shaikh Muhammad, Hariprasad, Gururao, Hasan, Gulam Mustafa, Hassan, Md. Imtaiyaz·2020·Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease

Abstract

The sudden emergence of severe respiratory disease, caused by a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has recently become a public health emergency. Genome sequence analysis of SARS-CoV-2 revealed its close resemblance to the earlier reported SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV). However, initial testing of the drugs used against SARS-CoV and MERS-CoV has been ineffective in controlling SARS-CoV-2. The present study highlights the genomic, proteomic, pathogenesis, and therapeutic strategies in SARS-CoV-2 infection. We have carried out sequence analysis of potential drug target proteins in SARS-CoV-2 and, compared them with SARS-CoV and MERS viruses. Analysis of mutations in the coding and non-coding regions, genetic diversity, and pathogenicity of SARS-CoV-2 has also been done. A detailed structural analysis of drug target proteins has been performed to gain insights into the mechanism of pathogenesis, structure-function relationships, and the development of structure-guided therapeutic approaches. The cytokine profiling and inflammatory signalling are different in the case of SARS-CoV-2 infection. We also highlighted possible therapies and their mechanism of action followed by clinical manifestation. Our analysis suggests a minimal variation in the genome sequence of SARS-CoV-2, may be responsible for a drastic change in the structures of target proteins, which makes available drugs ineffective.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.bbadis.2020.165878

Cites

140 of 140 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 140 references

Research works printed but not linked: 20

  1. Lu, 2015, Complete genome sequence of Middle East respiratory syndrome coronavirus (MERS-CoV) from the first imported MERS-CoV case in China, Genome Announc., 3, 10.1128/genomeA.00818-15 · doi:10.1128/genomea.00818-15
  2. Graham, 2020, SARS-CoV-2: Combating Coronavirus Emergence, Immunity, 52, 734, 10.1016/j.immuni.2020.04.016 · doi:10.1016/j.immuni.2020.04.016
  3. Nishikiori, 2012, Crystal structure of the superfamily 1 helicase from tomato mosaic virus, J. Virol., 86, 7565, 10.1128/JVI.00118-12 · doi:10.1128/jvi.00118-12
  4. van Dinten, 2000, The predicted metal-binding region of the arterivirus helicase protein is involved in subgenomic mRNA synthesis, genome replication, and virion biogenesis, J. Virol., 74, 5213, 10.1128/JVI.74.11.5213-5223.2000 · doi:10.1128/jvi.74.11.5213-5223.2000
  5. Bomma, 2012, PONDR (predicators of natural disorder regions), International Journal of Computer Technology and Electronics Engineering, 21, 61
  6. Minakshi, 2014, The SARS coronavirus 3a protein binds calcium in its cytoplasmic domain, Virus Res., 191, 180, 10.1016/j.virusres.2014.08.001 · doi:10.1016/j.virusres.2014.08.001
  7. Wrapp, 2020, Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation, Science, 367, 1260, 10.1126/science.abb2507 · DOI · Paper page
  8. Hassan, 2016, Editorial. Recent advances in the structure-based drug design and discovery, Curr. Top. Med. Chem., 16, 899, 10.2174/1568026616999150918145640 · doi:10.2174/1568026616999150918145640
  9. Greene, 2020, Innate immunity of the lung, Journal of Innate Immunity, 12, 1, 10.1159/000504621 · doi:10.1159/000504621
  10. Guastalegname, 2020, Could chloroquine /hydroxychloroquine be harmful in Coronavirus Disease 2019 (COVID-19) treatment?, Clin. Infect. Dis., ciaa321
  11. Elfiky, 2020, Ribavirin, Remdesivir, Sofosbuvir, Galidesivir, and Tenofovir against SARS-CoV-2 RNA dependent RNA polymerase (RdRp): a molecular docking study, Life Sci., 117592
  12. Zumla, 2016, Coronaviruses—drug discovery and therapeutic options, Nat. Rev. Drug Discov., 15, 327, 10.1038/nrd.2015.37 · DOI · Paper page
  13. Schlagenhauf, 2020, Repurposing antimalarials and other drugs for COVID-19, Travel Med. Infect. Dis., 34, 101658, 10.1016/j.tmaid.2020.101658 · doi:10.1016/j.tmaid.2020.101658
  14. Hong, 2020, Combating COVID-19 with chloroquine, J Mol Cell Biol, 12, 249, 10.1093/jmcb/mjaa015 · doi:10.1093/jmcb/mjaa015
  15. Cao, 2020, COVID-19: immunopathology and its implications for therapy, Nat Rev Immunol, 20, 269, 10.1038/s41577-020-0308-3 · DOI · Paper page
  16. Duan, 2019, COVID-19 and its research progress in forensic toxicology, Fa Yi Xue Za Zhi, 36
  17. FitzGerald, 2020, Misguided drug advice for COVID-19, Science, 367, 1434, 10.1126/science.abb8034 · DOI · Paper page
  18. Orleans, 2020, Expanded umbilical cord mesenchymal stem cells (UC-MSCs) as a therapeutic strategy in managing critically ill COVID-19 patients: The case for compassionate use, Pain Physician, 23, E71
  19. Wang, 2005, Study on the resistance of severe acute respiratory syndrome-associated coronavirus, J. Virol. Methods, 126, 171, 10.1016/j.jviromet.2005.02.005 · doi:10.1016/j.jviromet.2005.02.005
  20. Shamsi, 2020, Glecaprevir and Maraviroc are high-affinity inhibitors of SARS-CoV-2 main protease: possible implication in COVID-19 therapy, Bioscience Reports, 40, 10.1042/BSR20201256 · DOI · Paper page

Cited by

See all 1,114

Metadata

Authors
Naqvi, A. A. T., Fatima, K., Mohammad, T., Fatima, U., Singh, I. K., Singh, A., Atif, S. M., Hariprasad, G., Hasan, G. M., & Hassan, M. I.
Venue
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
Publisher
Elsevier BV
Published
2020-10
Volume
1866
Issue
10
Pages
165878
ISSN
0925-4439 (ISSN-L)
OpenAlex
W3035265089
Cited by
1,114
References
140
FWCI
26.56
Type
journal article
Language
en
Open access
bronze
Licence
Funders
Indian Council of Medical Research

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Insights into SARS-CoV-2 genome, structure, evolution, pathogenesis and therapies: Structural genomics approach. https://app.cochat.ai/papers/10.1016/j.bbadis.2020.165878
The paper
Naqvi, A. A. T., Fatima, K., Mohammad, T., Fatima, U., Singh, I. K., Singh, A., Atif, S. M., Hariprasad, G., Hasan, G. M., & Hassan, M. I. (2020). Insights into SARS-CoV-2 genome, structure, evolution, pathogenesis and therapies: Structural genomics approach. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. https://doi.org/10.1016/j.bbadis.2020.165878

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.