Evidence map›Paper›PMID 32754160›Full record

ArticleFrontiers in immunology2020

Designing Multi-Epitope Vaccines to Combat Emerging Coronavirus Disease 2019 (COVID-19) by Employing Immuno-Informatics Approach.

Anam Naz, Fatima Shahid, Tariq Tahir Butt, Faryal Mehwish Awan, Amjad Ali, Arif Malik

Abstract read
In one paragraph

Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
–field-weighted citation impact
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

73 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. A new mRNA antigen vaccine induces potent B and T cell responses andbioRxiv : the preprint server for biology · 2026
    Article
  6. Review
  7. Article
  8. Conserved multiepitopes inEmerging microbes & infections · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

13 more citing papers are in PubMed but not listed here.

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.

Anam NazInstitute of Molecular Biology and Biotechnology (IMBB), The University of Lahore (UOL), Lahore, Pakistan.
Fatima ShahidAtta-ur-Rehman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad, Pakistan.
Tariq Tahir ButtDepartment of Biochemistry, Khawaja Muhammad Safdar Medical College, Sialkot, Pakistan.
Faryal Mehwish AwanInstitute of Molecular Biology and Biotechnology (IMBB), The University of Lahore (UOL), Lahore, Pakistan.
Amjad AliAtta-ur-Rehman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad, Pakistan.
Arif MalikInstitute of Molecular Biology and Biotechnology (IMBB), The University of Lahore (UOL), Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A recent pandemic caused by a single-stranded RNA virus, COVID-19, initially discovered in China, is now spreading globally. This poses a serious threat that needs to be addressed immediately. Genome analysis of SARS-CoV-2 has revealed its close relation to SARS-coronavirus along with few changes in its spike protein. The spike protein aids in receptor binding and viral entry within the host and therefore represents a potential target for vaccine and therapeutic development. In the current study, the spike protein of SARS-CoV-2 was explored for potential immunogenic epitopes to design multi-epitope vaccine constructs. The S1 and S2 domains of spike proteins were analyzed, and two vaccine constructs were prioritized with T-cell and B-cell epitopes. We adapted a comprehensive predictive framework to provide novel insights into immunogenic epitopes of spike proteins, which can further be evaluated as potential vaccine candidates against COVID-19. Prioritized epitopes were then modeled using linkers and adjuvants, and respective 3D models were constructed to evaluate their physiochemical properties and their possible interactions with ACE2, HLA Superfamily alleles, TLR2, and TLR4.

Indexed as

Amino Acid SequenceAngiotensin-Converting Enzyme 2BetacoronavirusCoronavirus InfectionsCOVID-19Epitopes, B-LymphocyteEpitopes, T-LymphocyteHLA AntigensHumansModels, ChemicalMolecular Docking SimulationPandemicsPeptidyl-Dipeptidase APneumonia, ViralProtein Structure, SecondaryProtein Structure, TertiaryACE2 protein, humanAngiotensin-Converting Enzyme 2Epitopes, B-LymphocyteEpitopes, T-LymphocyteHLA AntigensPeptidyl-Dipeptidase ASpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2TLR2 protein, humanTLR4 protein, humanToll-Like Receptor 2Toll-Like Receptor 4Viral Vaccinescorona vaccinecoronavirusCOVID-19S1 domainS2 domainspike protein

Identifiers

PMID32754160
PMCPMC7365865

What OpenQuestion holds

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Registered trials

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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.