Evidence map›Paper›PMID 33194329›Full record

ArticlePeerJ2020

Epitope-based chimeric peptide vaccine design against S, M and E proteins of SARS-CoV-2, the etiologic agent of COVID-19 pandemic: an in silico approach.

M Shaminur Rahman, M Nazmul Hoque, M Rafiul Islam, Salma Akter, A S M Rubayet Ul Alam, Mohammad Anwar Siddique, Otun Saha, Md Mizanur Rahaman, Munawar Sultana, Keith A Crandall and 1 more

Abstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing 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

90 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. BCEDB: a linear B-cell epitopes database for SARS-CoV-2.Database : the journal of biological databases and curation · 2023
    Article
  19. Article
  20. Article

30 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

11 authors.

M Shaminur Rahman *Department of Microbiology, University of Dhaka, Dhaka, Bangladesh.
M Nazmul Hoque *Department of Microbiology, University of Dhaka, Dhaka, Bangladesh.
M Rafiul IslamDepartment of Microbiology, University of Dhaka, Dhaka, Bangladesh.
Salma AkterDepartment of Microbiology, University of Dhaka, Dhaka, Bangladesh.
A S M Rubayet Ul AlamDepartment of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh.
Mohammad Anwar SiddiqueDepartment of Microbiology, University of Dhaka, Dhaka, Bangladesh.
Otun SahaDepartment of Microbiology, University of Dhaka, Dhaka, Bangladesh.
Md Mizanur RahamanDepartment of Microbiology, University of Dhaka, Dhaka, Bangladesh.
Munawar SultanaDepartment of Microbiology, University of Dhaka, Dhaka, Bangladesh.
Keith A CrandallComputational Biology Institute, Milken Institute School of Public Health, George Washington University, Washington, Washington D.C., United States of America.
M Anwar HossainDepartment of Microbiology, University of Dhaka, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the etiologic agent of the ongoing pandemic of coronavirus disease 2019 (COVID-19), a public health emergency of international concerns declared by the World Health Organization (WHO). An immuno-informatics approach along with comparative genomics was applied to design a multi-epitope-based peptide vaccine against SARS-CoV-2 combining the antigenic epitopes of the S, M, and E proteins. The tertiary structure was predicted, refined and validated using advanced bioinformatics tools. The candidate vaccine showed an average of ≥90.0% world population coverage for different ethnic groups. Molecular docking and dynamics simulation of the chimeric vaccine with the immune receptors (TLR3 and TLR4) predicted efficient binding. Immune simulation predicted significant primary immune response with increased IgM and secondary immune response with high levels of both IgG1 and IgG2. It also increased the proliferation of T-helper cells and cytotoxic T-cells along with the increased IFN-γ and IL-2 cytokines. The codon optimization and mRNA secondary structure prediction revealed that the chimera is suitable for high-level expression and cloning. Overall, the constructed recombinant chimeric vaccine candidate demonstrated significant potential and can be considered for clinical validation to fight against this global threat, COVID-19.

Indexed as

B-cell EpitopeChimeric Peptide VaccineMuti-epitopeSARS-CoV-2T-cell Epitope

Identifiers

PMID33194329
PMCPMC7394063

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.