Evidence map›Paper›PMID 33082015›Full record

ArticleVaccine2020

Exploring the out of sight antigens of SARS-CoV-2 to design a candidate multi-epitope vaccine by utilizing immunoinformatics approaches.

Ashkan Safavi, Amirhosein Kefayat, Elham Mahdevar, Ardavan Abiri, Fatemeh Ghahremani

Open access · greenAbstract read
In one paragraph

Article in Vaccine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

57 citing papers in PubMed, 122 citations in OpenAlex.

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  10. Immunoinformatics-Aided Design of a Multiepitope Vaccine AgainstBioinformatics and biology insights · 2025
    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

5 authors at 5 institutions in 1 country.

Ashkan SafaviDepartment of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Amirhosein KefayatDepartment of Oncology, Cancer Prevention Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Elham MahdevarDepartment of Biology, Faculty of Science and Engineering, Science and Arts University, Yazd, Iran.
Ardavan AbiriDepartment of Medicinal Chemistry, Faculty of Pharmacy, Kerman University of Medical Sciences, Kerman, Iran.
Fatemeh GhahremaniDepartment of Medical Physics and Radiotherapy, Arak School of Paramedicine, Arak University of Medical Sciences, Arak, Iran. Electronic address: F.ghahremani@arakmu.ac.ir.
Arak University of Medical Sciences · IRIsfahan University of Medical Sciences · IRIslamic Azad University, Science and Research Branch · IRKerman University of Medical Sciences · IRYazd University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 causes a severe respiratory disease called COVID-19. Currently, global health is facing its devastating outbreak. However, there is no vaccine available against this virus up to now. In this study, a novel multi-epitope vaccine against SARS-CoV-2 was designed to provoke both innate and adaptive immune responses. The immunodominant regions of six non-structural proteins (nsp7, nsp8, nsp9, nsp10, nsp12 and nsp14) of SARS-CoV-2 were selected by multiple immunoinformatic tools to provoke T cell immune response. Also, immunodominant fragment of the functional region of SARS-CoV-2 spike (400-510 residues) protein was selected for inducing neutralizing antibodies production. The selected regions' sequences were connected to each other by furin-sensitive linker (RVRR). Moreover, the functional region of β-defensin as a well-known agonist for the TLR-4/MD complex was added at the N-terminus of the vaccine using (EAAAK)3 linker. Also, a CD4 + T-helper epitope, PADRE, was used at the C-terminal of the vaccine by GPGPG and A(EAAAK)2A linkers to form the final vaccine construct. The physicochemical properties, allergenicity, antigenicity, functionality and population coverage of the final vaccine construct were analyzed. The final vaccine construct was an immunogenic, non-allergen and unfunctional protein which contained multiple CD8 + and CD4 + overlapping epitopes, IFN-γ inducing epitopes, linear and conformational B cell epitopes. It could form stable and significant interactions with TLR-4/MD according to molecular docking and dynamics simulations. Global population coverage of the vaccine for HLA-I and II were estimated 96.2% and 97.1%, respectively. At last, the final vaccine construct was reverse translated to design the DNA vaccine. Although the designed vaccine exhibited high efficacy in silico, further experimental validation is necessary.

Indexed as

Amino Acid SequenceAntibodies, ViralBetacoronavirusComputational BiologyCoronavirus InfectionsCOVID-19COVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHumansImmunity, InnateImmunogenicity, VaccineMolecular Docking SimulationPandemicsAntibodies, ViralCOVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHistocompatibility Antigens Class IHistocompatibility Antigens Class IISpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Vaccines, AttenuatedVaccines, DNAVaccines, SubunitViral Nonstructural ProteinsViral VaccinesCOVID-19ImmunoinformaticsIn silicoSARS-CoV-2Vaccine

Identifiers

PMID33082015
PMCPMC7546226
OpenAlexW3092171256

What Socratic 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 Socratic graph.