Evidence map›Paper›PMID 33730022›Full record

ArticlePloS one2021

Immuno-informatics design of a multimeric epitope peptide based vaccine targeting SARS-CoV-2 spike glycoprotein.

Onyeka S Chukwudozie, Clive M Gray, Tawakalt A Fagbayi, Rebecca C Chukwuanukwu, Victor O Oyebanji, Taiwo T Bankole, Richard A Adewole, Eze M Daniel

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.9field-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

39 citing papers in PubMed, 71 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Onyeka S ChukwudozieDepartment of Cell Biology and Genetics, University of Lagos, Lagos, Nigeria.ORCID 0000-0002-0814-6798
Clive M GrayDivision of Immunology, Institute of Infectious Disease and Molecular Medicine and Department of Pathology, University of Cape Town, Cape Town, South Africa.
Tawakalt A FagbayiDepartment of Cell Biology and Genetics, University of Lagos, Lagos, Nigeria.
Rebecca C ChukwuanukwuImmunology Unit, Medical Laboratory Science Department, Nnamdi Azikiwe University, Nnewi, Nigeria.
Victor O OyebanjiDepartment of Veterinary Pathology, University of Ibadan, Ibadan, Nigeria.
Taiwo T BankoleDepartment of Cell Biology and Genetics, University of Lagos, Lagos, Nigeria.
Richard A AdewoleDepartment of Cell Biology and Genetics, University of Lagos, Lagos, Nigeria.
Eze M DanielPublic Health Biotechnology Unit, Institute of Child Health, University College Hospital, University of Ibadan, Ibadan, Nigeria.
University of Lagos · NGUniversity of Ibadan · NGNnamdi Azikiwe University · NGUniversity of Cape Town · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing an efficacious vaccine for SARS-CoV-2 infection is critical to stemming COVID-19 fatalities and providing the global community with immune protection. We have used a bioinformatic approach to aid in designing an epitope peptide-based vaccine against the spike protein of the virus. Five antigenic B cell epitopes with viable antigenicity and a total of 27 discontinuous B cell epitopes were mapped out structurally in the spike protein for antibody recognition. We identified eight CD8+ T cell 9-mers and 12 CD4+ T cell 14-15-mer as promising candidate epitopes putatively restricted by a large number of MHC I and II alleles, respectively. We used this information to construct an in silico chimeric peptide vaccine whose translational rate was highly expressed when cloned in pET28a (+) vector. With our In silico test, the vaccine construct was predicted to elicit high antigenicity and cell-mediated immunity when given as a homologous prime-boost, triggering of toll-like receptor 5 by the adjuvant linker. The vaccine was also characterized by an increase in IgM and IgG and an array of Th1 and Th2 cytokines. Upon in silico challenge with SARS-CoV-2, there was a decrease in antigen levels using our immune simulations. We, therefore, propose that potential vaccine designs consider this approach.

Indexed as

CD4-Positive T-LymphocytesCD8-Positive T-LymphocytesComputational BiologyCOVID-19COVID-19 VaccinesCytokinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHumansImmunity, CellularImmunogenicity, VaccineImmunoglobulin GImmunoglobulin MMolecular Docking SimulationCOVID-19 VaccinesCytokinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHistocompatibility Antigens Class IHistocompatibility Antigens Class IIImmunoglobulin GImmunoglobulin MPeptidesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Vaccines, Subunit

Identifiers

PMID33730022
PMCPMC7968690
OpenAlexW3136597676

What OpenQuestion holds

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LicenceCC BY
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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.