Evidence map›Paper›PMID 32938504›Full record

ArticleInfectious diseases of poverty2020

Reverse vaccinology assisted designing of multiepitope-based subunit vaccine against SARS-CoV-2.

Muhammad Tahir Ul Qamar, Farah Shahid, Sadia Aslam, Usman Ali Ashfaq, Sidra Aslam, Israr Fatima, Muhammad Mazhar Fareed, Ali Zohaib, Ling-Ling Chen

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
–field-weighted citation impact
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

61 citing papers in PubMed.

  1. Article
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  8. Development of a Novel mRNA Vaccine AgainstBioinformatics and biology insights · 2025
    Article
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  11. Article
  12. Review
  13. Article
  14. Article
  15. An integrated multi-pronged reverse vaccinology and biophysical approaches for identification of potential vaccine candidates against Nipah virus.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
    Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

1 more citing papers are in PubMed but not listed here.

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

9 authors.

Muhammad Tahir Ul QamarCollege of Life Science and Technology, Guangxi University, Nanning, P. R. China.
Farah ShahidDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.
Sadia AslamJinnah Hospital, Lahore, Pakistan.
Usman Ali AshfaqDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan. usmancemb@gmail.com.
Sidra AslamDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.
Israr FatimaDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.
Muhammad Mazhar FareedDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan.
Ali ZohaibDepartment of Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad, Pakistan.
Ling-Ling ChenCollege of Life Science and Technology, Guangxi University, Nanning, P. R. China. llchen@mail.hzau.edu.cn.

Funding

Guangxi University Postdoctoral ProjectGuangxi University Starting Research Grant for High-level Talents
6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) linked with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cause severe illness and life-threatening pneumonia in humans. The current COVID-19 pandemic demands an effective vaccine to acquire protection against the infection. Therefore, the present study was aimed to design a multiepitope-based subunit vaccine (MESV) against COVID-19.

methodsStructural proteins (Surface glycoprotein, Envelope protein, and Membrane glycoprotein) of SARS-CoV-2 are responsible for its prime functions. Sequences of proteins were downloaded from GenBank and several immunoinformatics coupled with computational approaches were employed to forecast B- and T- cell epitopes from the SARS-CoV-2 highly antigenic structural proteins to design an effective MESV.

resultsPredicted epitopes suggested high antigenicity, conserveness, substantial interactions with the human leukocyte antigen (HLA) binding alleles, and collective global population coverage of 88.40%. Taken together, 276 amino acids long MESV was designed by connecting 3 cytotoxic T lymphocytes (CTL), 6 helper T lymphocyte (HTL) and 4 B-cell epitopes with suitable adjuvant and linkers. The MESV construct was non-allergenic, stable, and highly antigenic. Molecular docking showed a stable and high binding affinity of MESV with human pathogenic toll-like receptors-3 (TLR3). Furthermore, in silico immune simulation revealed significant immunogenic response of MESV. Finally, MEV codons were optimized for its in silico cloning into the Escherichia coli K-12 system, to ensure its increased expression.

conclusionThe MESV developed in this study is capable of generating immune response against COVID-19. Therefore, if designed MESV further investigated experimentally, it would be an effective vaccine candidate against SARS-CoV-2 to control and prevent COVID-19.

Indexed as

BetacoronavirusCoronavirus InfectionsCoronavirus M ProteinsCOVID-19COVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansImmunogenicity, VaccineMolecular Docking SimulationPandemicsPneumonia, ViralSARS-CoV-2Sequence Analysis, ProteinSpike Glycoprotein, CoronavirusToll-Like Receptor 3Coronavirus M ProteinsCOVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-Lymphocytemembrane protein, SARS-CoV-2Spike Glycoprotein, Coronavirusspike protein, SARS-CoV-2TLR3 protein, humanToll-Like Receptor 3Vaccines, SubunitViral Matrix ProteinsViral VaccinesCOVID-19EpitopeImmunoinformaticsMultiepitope-based subunit vaccineSARS-CoV-2Structural proteinVaccine

Identifiers

PMID32938504
PMCPMC7492789

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.