Evidence map›Paper›PMID 32643158›Full record

ArticleJournal of cellular physiology2021

Excavating SARS-coronavirus 2 genome for epitope-based subunit vaccine synthesis using immunoinformatics approach.

Varun Chauhan, Tripti Rungta, Manmeet Rawat, Kapil Goyal, Yash Gupta, Mini P Singh

Open access · bronzeAbstract read
In one paragraph

Article in Journal of cellular physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Innovative epitopes inFrontiers in cellular and infection microbiology · 2024
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  14. Exploratory Algorithm of a Multi-epitope-based Subunit Vaccine Candidate AgainstInternational journal of peptide research and therapeutics · 2022
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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 3 institutions in 2 countries.

Varun ChauhanDepartment of Virology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.ORCID 0000-0001-6769-8691
Tripti RungtaDepartment of Virology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Manmeet RawatDepartment of Internal Medicine (GI), Health Science Centre, School of Medicine, University of New Mexico, Albuquerque, New Mexico.ORCID 0000-0002-8325-3390
Kapil GoyalDepartment of Virology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Yash GuptaDepartment of Internal Medicine, Loyola University Medical Center, Chicago, Illinois.
Mini P SinghDepartment of Virology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Post Graduate Institute of Medical Education and Research · INLoyola University Medical Center · USUniversity of New Mexico · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the outbreak of severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) in December 2019 in China, there has been an upsurge in the number of deaths and infected individuals throughout the world, thereby leading to the World Health Organization declaration of a pandemic. Since no specific therapy is currently available for the same, the present study was aimed to explore the SARS-CoV-2 genome for the identification of immunogenic regions using immunoinformatics approach. A series of computational tools were applied in a systematic way to identify the epitopes that could be utilized in vaccine development. The screened-out epitopes were passed through several immune filters, such as promiscuousity, conservancy, antigenicity, nonallergenicity, population coverage, nonhomologous to human proteins, and affinity with human leukocyte antigen alleles, to screen out the best possible ones. Further, a construct comprising 11 CD4, 12 CD8, 3 B cell, and 3 interferon-γ epitopes, along with an adjuvant β-defensin, was designed in silico, resulting in the formation of a multiepitope vaccine. The in silico immune simulation and population coverage analysis of the vaccine sequence showed its capacity to elicit cellular, humoral, and innate immune cells and to cover up a worldwide population of more than 97%. Further, the interaction analysis of the vaccine construct with Toll-like receptor 3 (immune receptor) was carried out by docking and dynamics simulations, revealing high affinity, constancy, and pliability between the two. The overall findings suggest that the vaccine may be highly effective, and is therefore required to be tested in the lab settings to evaluate its efficacy.

Indexed as

Genome, ViralAntigens, ViralCloning, MolecularCOVID-19COVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansInterferon-gammaModels, BiologicalModels, MolecularMolecular Dynamics SimulationPhylogenyProtein ConformationProtein Processing, Post-TranslationalSARS-CoV-2Antigens, ViralCOVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteInterferon-gammaVaccines, SubunitViral Proteinsdynamics simulationsimmunoinformaticsmolecular dockingpromiscuousSARS-CoV-2

Identifiers

PMID32643158
PMCPMC7361924
OpenAlexW3041135652

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.