Evidence map›Paper›PMID 33435759›Full record

ArticleExpert review of vaccines2022

Immunoinformatics-guided designing and in silico analysis of epitope-based polyvalent vaccines against multiple strains of human coronavirus (HCoV).

Bishajit Sarkar, Md Asad Ullah, Yusha Araf, Nafisa Nawal Islam, Umme Salma Zohora

Open access · greenAbstract read
In one paragraph

Article in Expert review of vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Designing a novel and effective multi-epitope subunit vaccine against human astrovirus using reverse vaccinology approach.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
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  8. Designing a multi-epitope vaccine againstFrontiers in genetics · 2024
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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

5 authors at 2 institutions in 1 country.

Bishajit SarkarDepartment of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Jahangirnagar University, Savar, Dhaka, Bangladesh.ORCID 0000-0001-8439-6994
Md Asad UllahDepartment of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Jahangirnagar University, Savar, Dhaka, Bangladesh.ORCID 0000-0002-6615-6433
Yusha ArafDepartment of Genetic Engineering and Biotechnology, School of Life Sciences, Shahjalal University of Science and Technology, Sylhet, Bangladesh.ORCID 0000-0002-0144-5875
Nafisa Nawal IslamDepartment of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Umme Salma ZohoraDepartment of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Jahangirnagar University · BDShahjalal University of Science and Technology · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe group of human coronaviruses (HCoVs) consists of some highly pathogenic viruses that have caused several outbreaks in the past. The newly emerged strain of HCoV, the SARS-CoV-2 is responsible for the recent global pandemic that has already caused the death of hundreds of thousands of people due to the lack of effective therapeutic options.

methodsIn this study, immunoinformatics methods were used to design epitope-based polyvalent vaccines which are expected to be effective against four different pathogenic strains of HCoV i.e., HCoV-OC43, HCoV-SARS, HCoV-MERS, and SARS-CoV-2.

resultsThe constructed vaccines consist of highly antigenic, non-allergenic, nontoxic, conserved, and non-homologous T-cell and B-cell epitopes from all the four viral strains. Therefore, they should be able to provide strong protection against all these strains. Protein-protein docking was performed to predict the best vaccine construct. Later, the MD simulation and immune simulation of the best vaccine construct also predicted satisfactory results. Finally, in silico cloning was performed to develop a mass production strategy of the vaccine.

conclusionIf satisfactory results are achieved in further in vivo and in vitro studies, then the vaccines designed in this study might be effective as preventative measures against the selected HCoV strains.

Indexed as

COVID-19SARS-CoV-2COVID-19 VaccinesEpitopes, T-LymphocyteHumansMolecular Docking SimulationVaccines, CombinedCOVID-19 VaccinesEpitopes, T-LymphocyteVaccines, CombinedCoronavirusesimmunoinformaticsmers-CoVsars-CoVsars-CoV-2vaccines

Identifiers

PMID33435759
PMCPMC7989953
OpenAlexW3119878768

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.