Evidence map›Paper›PMID 37548884›Full record

ArticleGenes & genomics2023

Proteome based analysis of circulating SARS-CoV-2 variants: approach to a universal vaccine candidate.

Elijah Kolawole Oladipo, Taiwo Ooreoluwa Ojo, Seun Elijah Olufemi, Boluwatife Ayobami Irewolede, Daniel Adewole Adediran, Asegunloluwa Grace Abiala, Oluwaseun Samuel Hezekiah, Akindele Felix Idowu, Yinmi Gabriel Oladeji, Mary Omotoyinbo Ikuomola and 16 more

Abstract read
PubMed Publisher
In one paragraph

Article in Genes & genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  4. PredictingIn silico pharmacology · 2024
    Article
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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

26 authors at 3 institutions in 1 country.

Elijah Kolawole OladipoDepartment of Microbiology, Laboratory of Molecular Biology, Immunology and Informatics, Adeleke University, Ede, Osun State, Nigeria. koladipo2k3@yahoo.co.uk.ORCID 0000-0002-9646-5122
Taiwo Ooreoluwa OjoGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Seun Elijah OlufemiGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Boluwatife Ayobami IrewoledeGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Daniel Adewole AdediranGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Asegunloluwa Grace AbialaGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Oluwaseun Samuel HezekiahGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Akindele Felix IdowuGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Yinmi Gabriel OladejiGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Mary Omotoyinbo IkuomolaGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Adenike Titilayo OlayinkaGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Gideon Oluwamayowa AkanbiGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Usman Abiodun IdowuGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Odunola Abimbola OlubodunGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Folusho Daniel OdunlamiGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
James Akinwumi OgunniranGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Omodamola Paulina AkinroGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Hadijat Motunrayo AdegokeGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Elizabeth Oluwatoyin FolakanmiGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Temitope Aishat UsmanGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Elizabeth Folakemi OladokunGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Glory Jesudara OluwasanyaGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Hezekiah Oluwajoba AwobiyiGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Jerry Ayobami OluwasegunGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Samuel Adebowale AkintibuboGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Esther Moradeyo JimahGenomics Unit, Helix Biogen Institute, Ogbomoso, Oyo State, Nigeria.
Ladoke Akintola University of Technology · NGAdeleke University · NGObafemi Awolowo University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of the first infectious variant in Wuhan, China, in December 2019, has posed concerns over global health due to the spread of COVID-19 and subsequent variants. While the majority of patients experience flu-like symptoms such as cold and fever, a small percentage, particularly those with compromised immune systems, progress from mild illness to fatality. COVID-19 is caused by a RNA virus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Our approach involved utilizing immunoinformatic to identify vaccine candidates with multiple epitopes and ligand-binding regions in reported SARS-CoV-2 variants. Through analysis of the spike glycoprotein, we identified dominant epitopes for T-cells and B-cells, resulting in a vaccine construct containing two helper T-cell epitopes, six cytotoxic T-cell epitopes, and four linear B-cell epitopes. Prior to conjugation with adjuvants and linkers, all epitopes were evaluated for antigenicity, toxicity, and allergenicity. Additionally, we assessed the vaccine Toll-Like Receptors complex (2, 3, and 4). The vaccine construct demonstrated antigenicity, non-toxicity, and non-allergenicity, thereby enabling the host to generate antibodies with favorable physicochemical characteristics. Furthermore, the 3D structure of the B-cell construct exhibited a ProSA-web z-score plot with a value of -1.71, indicating the reliability of the designed structure. The Ramachandran plot analysis revealed that 99.6% of the amino acid residues in the vaccine subunit were located in the high favored observation region, further establishing its strong candidacy as a vaccination option.

Indexed as

COVID-19Viral VaccinesCOVID-19 VaccinesEpitopes, T-LymphocyteHumansProteomeReproducibility of ResultsSARS-CoV-2COVID-19 VaccinesEpitopes, T-LymphocyteProteomeViral VaccinesCovid-19ImmunoinformaticMulti-epitopeSARS-Cov-2VaccineVariant

Identifiers

PMID37548884
OpenAlexW4385620554

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.