Evidence map›Paper›PMID 34542663›Full record

ArticleImmunogenetics2021

A reverse vaccinology and immunoinformatics approach for designing a multiepitope vaccine against SARS-CoV-2.

Ehsan Jahangirian, Ghadir A Jamal, MohammadReza Nouroozi, Alemeh Mohammadpour

Open access · bronzeAbstract read
In one paragraph

Article in Immunogenetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

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  8. Multi-epitope Based Peptide Vaccine Candidate AgainstBioinformatics and biology insights · 2024
    Article
  9. An integrated multi-pronged reverse vaccinology and biophysical approaches for identification of potential vaccine candidates against Nipah virus.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
    Article
  10. A novel vaccine based on SARS-CoV-2 CD4Scientific reports · 2022
    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

4 authors at 3 institutions in 2 countries.

Ehsan Jahangirian *Department of Animal Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.
Ghadir A Jamal *Faculty of Allied Health Sciences, Kuwait University, Kuwait City, Kuwait. ghadir.jamal@ku.edu.kw.
MohammadReza NourooziDepartment of Animal Science and Food Technology, Agriculture Science and Natural Resources University Khouzestan, Ahwaz, Iran.
Alemeh MohammadpourDepartment of Animal Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.
National Institute of Genetic Engineering and Biotechnology · IRKuwait University · KWRamin Agriculture and Natural Resources University of Khouzestan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since 2019, the world was involved with SARS-CoV-2 and consequently, with the announcement by the World Health Organization that COVID-19 was a pandemic, scientific were an effort to obtain the best approach to combat this global dilemma. The best way to prevent the pandemic from spreading further is to use a vaccine against COVID-19. Here, we report the design of a recombinant multi-epitope vaccine against the four proteins spike or crown (S), membrane (M), nucleocapsid (N), and envelope (E) of SARS-CoV-2 using immunoinformatics tools. We evaluated the most antigenic epitopes that bind to HLA class 1 subtypes, along with HLA class 2, as well as B cell epitopes. Beta-defensin 3 and PADRE sequence were used as adjuvants in the structure of the vaccine. KK, GPGPG, and AAY linkers were used to fuse the selected epitopes. The nucleotide sequence was cloned into pET26b(+) vector using restriction enzymes XhoI and NdeI, and HisTag sequence was considered in the C-terminal of the construct. The results showed that the proposed candidate vaccine is a 70.87 kDa protein with high antigenicity and immunogenicity as well as non-allergenic and non-toxic. A total of 95% of the selected epitopes have conservancy with similar sequences. Molecular docking showed a strong binding between the vaccine structure and tool-like receptor (TLR) 7/8. The docking, molecular dynamics, and MM/PBSA analysis showed that the vaccine established a stable interaction with both structures of TLR7 and TLR8. Simulation of immune stimulation by this vaccine showed that it evokes immune responses related to humoral and cellular immunity.

Indexed as

Amino Acid SequenceBase SequenceComputational BiologyCOVID-19COVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHLA AntigensHumansImmunogenicity, VaccineMolecular Docking SimulationMolecular Dynamics SimulationMolecular WeightRecombinant Fusion ProteinsSARS-CoV-2Toll-Like Receptor 7COVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHLA AntigensRecombinant Fusion ProteinsTLR7 protein, humanTLR8 protein, humanToll-Like Receptor 7Toll-Like Receptor 8Vaccines, SubunitViral ProteinsCOVID-19ImmunoinformaticsMolecular dynamics simulationsMulti-epitope vaccine

Identifiers

PMID34542663
PMCPMC8450176
OpenAlexW3199043783

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.