Evidence map›Paper›PMID 36037724›Full record

ArticleComputational biology and chemistry2022

Exploiting reverse vaccinology approach for the design of a multiepitope subunit vaccine against the major SARS-CoV-2 variants.

Daniel Melo de Oliveira Campos, Maria Karolaynne da Silva, Emmanuel Duarte Barbosa, Chiuan Yee Leow, Umberto Laino Fulco, Jonas Ivan Nobre Oliveira

Open access · greenAbstract read
In one paragraph

Article in Computational biology and chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 25 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

6 authors at 2 institutions in 2 countries.

Daniel Melo de Oliveira CamposDepartment of Biophysics and Pharmacology, Bioscience Center, Federal University of Rio Grande do Norte, 59064-741, Natal/RN, Brazil. Electronic address: danielmelo.biomed@gmail.com.
Maria Karolaynne da SilvaDepartment of Biophysics and Pharmacology, Bioscience Center, Federal University of Rio Grande do Norte, 59064-741, Natal/RN, Brazil. Electronic address: mkarolaynnesilva@gmail.com.
Emmanuel Duarte BarbosaDepartment of Biophysics and Pharmacology, Bioscience Center, Federal University of Rio Grande do Norte, 59064-741, Natal/RN, Brazil. Electronic address: emmanuel.baduarte@gmail.com.
Chiuan Yee LeowUniversiti Sains Malaysia, Penang, Malaysia. Electronic address: yee.leow@usm.my.
Umberto Laino FulcoDepartment of Biophysics and Pharmacology, Bioscience Center, Federal University of Rio Grande do Norte, 59064-741, Natal/RN, Brazil. Electronic address: umbertofulco@gmail.com.
Jonas Ivan Nobre OliveiraDepartment of Biophysics and Pharmacology, Bioscience Center, Federal University of Rio Grande do Norte, 59064-741, Natal/RN, Brazil. Electronic address: jonasivan@gmail.com.br.
Universidade Federal do Rio Grande do Norte · BRUniversiti Sains Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current COVID-19 pandemic, an infectious disease caused by the novel coronavirus (SARS-CoV-2), poses a threat to global health because of its high rate of spread and death. Currently, vaccination is the most effective method to prevent the spread of this disease. In the present study, we developed a novel multiepitope vaccine against SARS-CoV-2 containing Alpha (B.1.1.7), Beta (B.1.351), Gamma (P.1), Delta (B.1.617.2), and Omicron (BA.1) variants. To this end, we performed a robust immunoinformatics approach based on multiple epitopes of the four structural proteins of SARS-CoV-2 (S, M, N, and E) from 475 SARS-CoV-2 genomes sequenced from the regions with the highest number of registered cases, namely the United States, India, Brazil, France, Germany, and the United Kingdom. To investigate the best immunogenic epitopes for linear B cells, cytotoxic T lymphocytes (CTL), and helper T lymphocytes (HTL), we evaluated antigenicity, allergenicity, conservation, immunogenicity, toxicity, human population coverage, IFN-inducing, post-translational modifications, and physicochemical properties. The tertiary structure of a vaccine prototype was predicted, refined, and validated. Through docking experiments, we evaluated its molecular coupling to the key immune receptor Toll-Like Receptor 3 (TLR3). To improve the quality of docking calculations, quantum mechanics/molecular mechanics calculations (QM/MM) were used, with the QM part of the simulations performed using the density functional theory formalism (DFT). Cloning and codon optimization were performed for the successful expression of the vaccine in E. coli. Finally, we investigated the immunogenic properties and immune response of our SARS-CoV-2 multiepitope vaccine. The results of the simulations show that administering our prototype three times significantly increases the antibody response and decreases the amount of antigens. The proposed vaccine candidate should therefore be tested in clinical trials for its efficacy in neutralizing SARS-CoV-2.

Indexed as

COVID-19SARS-CoV-2COVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteEscherichia coliHumansImmunogenicity, VaccineMolecular Docking SimulationPandemicsVaccines, SubunitVaccinologyCOVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteVaccines, SubunitImmunoinformaticsMulti-epitope vaccineQuantum mechanics/molecular mechanics calculationsSARS-CoV-2Variants

Identifiers

PMID36037724
PMCPMC9385604
OpenAlexW4292245688

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.