Evidence map›Paper›PMID 35721890›Full record

ArticleImmunoinformatics (Amsterdam, Netherlands)2022

Epitope identification of SARS-CoV-2 structural proteins using in silico approaches to obtain a conserved rational immunogenic peptide.

Leonardo Pereira de Araújo, Maria Eduarda Carvalho Dias, Gislaine Cristina Scodeler, Ana de Souza Santos, Letícia Martins Soares, Patrícia Paiva Corsetti, Ana Carolina Barbosa Padovan, Nelson José de Freitas Silveira, Leonardo Augusto de Almeida

Open access · goldAbstract read
In one paragraph

Article in Immunoinformatics (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. 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

9 authors at 1 institution in 1 country.

Leonardo Pereira de AraújoLaboratory of Molecular Biology of Microorganisms, Federal University of Alfenas, Alfenas, Minas Gerais, Brazil.
Maria Eduarda Carvalho DiasLaboratory of Molecular Biology of Microorganisms, Federal University of Alfenas, Alfenas, Minas Gerais, Brazil.
Gislaine Cristina ScodelerLaboratory of Molecular Biology of Microorganisms, Federal University of Alfenas, Alfenas, Minas Gerais, Brazil.
Ana de Souza SantosLaboratory of Molecular Biology of Microorganisms, Federal University of Alfenas, Alfenas, Minas Gerais, Brazil.
Letícia Martins SoaresLaboratory of Molecular Biology of Microorganisms, Federal University of Alfenas, Alfenas, Minas Gerais, Brazil.
Patrícia Paiva CorsettiLaboratory of Molecular Biology of Microorganisms, Federal University of Alfenas, Alfenas, Minas Gerais, Brazil.
Ana Carolina Barbosa PadovanLaboratory of Molecular Biology of Microorganisms, Federal University of Alfenas, Alfenas, Minas Gerais, Brazil.
Nelson José de Freitas SilveiraLaboratory of Molecular Modeling and Computer Simulation, Federal University of Alfenas, Alfenas, Minas Gerais, Brazil.
Leonardo Augusto de AlmeidaLaboratory of Molecular Biology of Microorganisms, Federal University of Alfenas, Alfenas, Minas Gerais, Brazil.
Universidade Federal de Alfenas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The short time between the first cases of COVID-19 and the declaration of a pandemic initiated the search for ways to stop the spread of SARS-CoV-2. There are great expectations regarding the development of effective vaccines that protect against all variants, and in the search for it, we hypothesized the obtention of a predicted rational immunogenic peptide from structural components of SARS-CoV-2 might help the vaccine research direction. In the search for a candidate of an immunogenic peptide of the SARS-CoV-2 envelope (E), membrane (M), nucleocapsid (N), or spike (S) proteins, we access the predicted sequences of each protein after the genome sequenced worldwide. We obtained the consensus amino acid sequences of about 14,441 sequences of each protein of each continent and the worldwide consensus sequence. For epitope identification and characterization from each consensus structural protein related to MHC-I or MHC-II interaction and B-cell receptor recognition, we used the IEDB reaching 68 epitopes to E, 174 to M, 245 to N, and 833 to S proteins. To select an epitope with the highest probability of binding to the MHC or BCR, all epitopes of each consensus sequence were aligned. The curation indicated 1, 4, 8, and 21 selected epitopes for E, M, N, and S proteins, respectively. Those epitopes were tested in silico for antigenicity obtaining 16 antigenic epitopes. Physicochemical properties and allergenicity evaluation of the obtained epitopes were done. Ranking the results, we obtained one epitope of each protein except for the S protein that presented two epitopes after the selection. To check the 3D position of each selected epitope in the protein structure, we used molecular homology modeling. Afterward, each selected epitope was evaluated by molecular docking to reference MHC-I or MHC-II allelic protein sequences. Taken together, the results obtained in this study showed a rational search for a putative immunogenic peptide of SARS-CoV-2 structural proteins that can improve vaccine development using in silico approaches. The epitopes selected represent the most conserved sequence of new coronavirus and may be used in a variety of vaccine development strategies since they are also presented in the described variants of SARS-CoV-2.

Indexed as

COVID-19New coronavirusReverse vaccinologySARS-CoV-2

Identifiers

PMID35721890
PMCPMC9188263
OpenAlexW4282939933

What Socratic holds

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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 Socratic graph.