Evidence map›Paper›PMID 42583590›Full record

ArticleComputation (Basel, Switzerland)2022

Bioinformatics, Computational Informatics, and Modeling Approaches to the Design of mRNA COVID-19 Vaccine Candidates.

Olugbenga Oluseun Oluwagbemi, Elijah K Oladipo, Olatunji M Kolawole, Julius K Oloke, Temitope I Adelusi, Boluwatife A Irewolede, Emmanuel O Dairo, Ayodele E Ayeni, Kehinde T Kolapo, Olawumi E Akindiya and 3 more

Abstract read
In one paragraph

Article in Computation (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  5. Article
  6. Design of a novel multi-epitope vaccine candidate againstBiochemistry and biophysics reports · 2024
    Article
  7. Article
  8. Article
  9. Review
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  11. Article
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  13. Article
  14. Review
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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

13 authors.

Olugbenga Oluseun OluwagbemiDepartment of Computer Science and Information Technology, Faculty of Natural and Applied Sciences, Sol Plaatje University, Kimberley 8301, South Africa.ORCID https://orcid.org/0000-0001-9085-3370
Elijah K OladipoLaboratory of Molecular Biology, Immunology and Bioinformatics, Department of Microbiology, Adeleke University, Ede 232104, Nigeria.ORCID https://orcid.org/0000-0002-9646-5122
Olatunji M KolawoleDepartment of Microbiology, University of Ilorin, Ilorin 234031, Nigeria.
Julius K OlokeDepartment of Natural Science, Precious Cornerstone University, Ibadan 200223, Nigeria.
Temitope I AdelusiComputational Biology/Drug Discovery Laboratory, Biochemistry Department, Ladoke Akintola University of Technology, (LAUTECH), Ogbomoso 210214, Nigeria.
Boluwatife A IrewoledeGenomics Unit, Helix Biogen Institute, Ogbomoso 210214, Nigeria.ORCID https://orcid.org/0000-0003-0729-5748
Emmanuel O DairoGenomics Unit, Helix Biogen Institute, Ogbomoso 210214, Nigeria.ORCID https://orcid.org/0000-0001-7671-7030
Ayodele E AyeniGenomics Unit, Helix Biogen Institute, Ogbomoso 210214, Nigeria.
Kehinde T KolapoGenomics Unit, Helix Biogen Institute, Ogbomoso 210214, Nigeria.ORCID https://orcid.org/0000-0002-9522-1214
Olawumi E AkindiyaGenomics Unit, Helix Biogen Institute, Ogbomoso 210214, Nigeria.
Jerry A OluwasegunGenomics Unit, Helix Biogen Institute, Ogbomoso 210214, Nigeria.
Bamigboye F OluwadaraGenomics Unit, Helix Biogen Institute, Ogbomoso 210214, Nigeria.
Segun FatumoThe African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM, Entebbe 7545, Uganda.

Funding

Wellcome Trust
6 · The paper itself

Abstract

This article is devoted to applying bioinformatics and immunoinformatics approaches for the development of a multi-epitope mRNA vaccine against the spike glycoproteins of circulating SARS-CoV-2 variants in selected African countries. The study's relevance is dictated by the fact that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) began its global threat at the end of 2019 and since then has had a devastating impact on the whole world. Measures to reduce threats from the pandemic include social restrictions, restrictions on international travel, and vaccine development. In most cases, vaccine development depends on the spike glycoprotein, which serves as a medium for its entry into host cells. Although several variants of SARS-CoV-2 have emerged from mutations crossing continental boundaries, about 6000 delta variants have been reported along the coast of more than 20 countries in Africa, with South Africa accounting for the highest percentage. This also applies to the omicron variant of the SARS-CoV-2 virus in South Africa. The authors suggest that bioinformatics and immunoinformatics approaches be used to develop a multi-epitope mRNA vaccine against the spike glycoproteins of circulating SARS-CoV-2 variants in selected African countries. Various immunoinformatics tools have been used to predict T- and B-lymphocyte epitopes. The epitopes were further subjected to multiple evaluations to select epitopes that could elicit a sustained immunological response. The candidate vaccine consisted of seven epitopes, a highly immunogenic adjuvant, an MHC I-targeting domain (MITD), a signal peptide, and linkers. The molecular weight (MW) was predicted to be 223.1 kDa, well above the acceptable threshold of 110 kDa on an excellent vaccine candidate. In addition, the results showed that the candidate vaccine was antigenic, non-allergenic, non-toxic, thermostable, and hydrophilic. The vaccine candidate has good population coverage, with the highest range in East Africa (80.44%) followed by South Africa (77.23%). West Africa and North Africa have 76.65% and 76.13%, respectively, while Central Africa (75.64%) has minimal coverage. Among seven epitopes, no mutations were observed in 100 randomly selected SARS-CoV-2 spike glycoproteins in the study area. Evaluation of the secondary structure of the vaccine constructs revealed a stabilized structure showing 36.44% alpha-helices, 20.45% drawn filaments, and 33.38% random helices. Molecular docking of the TLR4 vaccine showed that the simulated vaccine has a high binding affinity for TLR-4, reflecting its ability to stimulate the innate and adaptive immune response.

Indexed as

bioinformaticscomputationalCOVID-19immunoinformaticmodelingmRNASARS-CoV-2vaccine

Identifiers

PMID42583590
PMCPMC7619349

What Socratic 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 Socratic graph.