Evidence map›Paper›PMID 33321203›Full record

ArticleGenomics2021

A computational approach to design potential siRNA molecules as a prospective tool for silencing nucleocapsid phosphoprotein and surface glycoprotein gene of SARS-CoV-2.

Umar Faruq Chowdhury, Mohammad Umer Sharif Shohan, Kazi Injamamul Hoque, Mirza Ashikul Beg, Mohammad Kawsar Sharif Siam, Mohammad Ali Moni

Open access · greenAbstract read
In one paragraph

Article in Genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

40 citing papers in PubMed, 96 citations in OpenAlex.

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  12. Research in the Field of Drug Design and Development.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
  13. Potential of siRNA in COVID-19 therapy: Emphasis onFrontiers in bioengineering and biotechnology · 2023
    Review
  14. Review
  15. Article
  16. Article
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  18. Ex vivo and in vivo suppression of SARS-CoV-2 with combinatorial AAV/RNAi expression vectors.Molecular therapy : the journal of the American Society of Gene Therapy · 2022
    Article
  19. Review
  20. Article
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

6 authors at 3 institutions in 2 countries.

Umar Faruq ChowdhuryDepartment of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.
Mohammad Umer Sharif ShohanDepartment of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.
Kazi Injamamul HoqueDepartment of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.
Mirza Ashikul BegDepartment of Genetic Engineering and Biotechnology, University of Dhaka, Bangladesh.
Mohammad Kawsar Sharif SiamDepartment of Pharmacy, Brac University, 66 Mohakhali, Dhaka 1212, Bangladesh.
Mohammad Ali MoniWHO Collaborating Centre for eHealth, School of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales (UNSW), Sydney, Australia. Electronic address: m.moni@unsw.edu.au.
University of Dhaka · BDBRAC University · BDUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An outbreak, caused by an RNA virus, SARS-CoV-2 named COVID-19 has become pandemic with a magnitude which is daunting to all public health institutions in the absence of specific antiviral treatment. Surface glycoprotein and nucleocapsid phosphoprotein are two important proteins of this virus facilitating its entry into host cell and genome replication. Small interfering RNA (siRNA) is a prospective tool of the RNA interference (RNAi) pathway for the control of human viral infections by suppressing viral gene expression through hybridization and neutralization of target complementary mRNA. So, in this study, the power of RNA interference technology was harnessed to develop siRNA molecules against specific target genes namely, nucleocapsid phosphoprotein gene and surface glycoprotein gene. Conserved sequence from 139 SARS-CoV-2 strains from around the globe was collected to construct 78 siRNA that can inactivate nucleocapsid phosphoprotein and surface glycoprotein genes. Finally, based on GC content, free energy of folding, free energy of binding, melting temperature, efficacy prediction and molecular docking analysis, 8 siRNA molecules were selected which are proposed to exert the best action. These predicted siRNAs should effectively silence the genes of SARS-CoV-2 during siRNA mediated treatment assisting in the response against SARS-CoV-2.

Indexed as

Computational ChemistryDrug DesignMolecular Docking SimulationRNA InterferenceArgonaute ProteinsBase CompositionCoronavirus Nucleocapsid ProteinsCOVID-19COVID-19 Drug TreatmentEvolution, MolecularGene Expression Regulation, ViralGenetic TherapyHumansPandemicsPhosphoproteinsPhylogenyAGO2 protein, humanArgonaute ProteinsCoronavirus Nucleocapsid Proteinsnucleocapsid phosphoprotein, SARS-CoV-2PhosphoproteinsRNA, MessengerRNA, Small InterferingRNA, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Nucleocapsid phosphoproteinSARS-CoV-2siDirectsiRNASurface glycoprotein

Identifiers

PMID33321203
PMCPMC7832576
OpenAlexW3111184403

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.