Evidence map›Paper›PMID 36040967›Full record

ArticlePloS one2022

Design of a novel multi-epitope vaccine candidate against hepatitis C virus using structural and nonstructural proteins: An immunoinformatics approach.

Esmaeil Behmard, Hussein T Abdulabbas, Saade Abdalkareem Jasim, Sohrab Najafipour, Abdolmajid Ghasemian, Akbar Farjadfar, Ebrahim Barzegari, Amin Kouhpayeh, Parviz Abdolmaleki

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  9. Review
  10. Development of a Novel mRNA Vaccine AgainstBioinformatics and biology insights · 2025
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  17. Proteomics Exploration ofBioinformatics and biology insights · 2024
    Article
  18. Article
  19. Review
  20. Review
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 5 institutions in 2 countries.

Esmaeil BehmardSchool of Advanced Technologies in Medicine, Fasa University of Medical Sciences, Fasa, Iran.
Hussein T AbdulabbasDepartment of Medical Laboratory Techniques, Faculty of Health and Medical Techniques, Imam Ja'afar Al-Sadiq University, Al Muthanna, Iraq.
Saade Abdalkareem JasimMedical Laboratory Techniques Department, Al-maarif University College, Ramadi, Iraq.
Sohrab NajafipourSchool of Advanced Technologies in Medicine, Fasa University of Medical Sciences, Fasa, Iran.
Abdolmajid GhasemianNoncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.ORCID 0000-0002-1243-6341
Akbar FarjadfarDepartment of Medical Biotechnology, Fasa University of Medical Sciences, Fasa, Iran.
Ebrahim BarzegariMedical Biology Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Amin KouhpayehDepartment of Pharmacology, Fasa University of Medical Sciences, Fasa, Iran.
Parviz AbdolmalekiDepartment of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
Fasa University of Medical Sciences · IRImam Ja’afar Al-Sadiq UniversityKermanshah University of Medical Sciences · IRTarbiat Modares University · IRUniversity of Al Maarif · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis C virus (HCV) infects the liver and causes chronic infection. Several mutations in the viral genome have been associated with drug resistance development. Currently, there is no approved vaccine against the HCV. The employment of computational biology is the primary and crucial step for vaccine design or antiviral therapy which can substantially reduce the duration and cost of studies. Therefore, in this study, we designed a multi-epitope vaccine using various immunoinformatics tools to elicit the efficient human immune responses against the HCV. Initially, various potential (antigenic, immunogenic, non-toxic and non-allergenic) epitope segments were extracted from viral structural and non-structural protein sequences using multiple screening methods. The selected epitopes were linked to each other properly. Then, toll-like receptors (TLRs) 3 and 4 agonists (50S ribosomal protein L7/L12 and human β-defensin 2, respectively) were added to the N-terminus of the final vaccine sequence to increase its immunogenicity. The 3D structure of the vaccine was modeled. Molecular dynamics simulations studies verified the high stability of final free vaccines and in complex with TLR3 and TLR4. These constructs were also antigenic, non-allergenic, nontoxic and immunogenic. Although the designed vaccine traits were promising as a potential candidate against the HCV infection, experimental studies and clinical trials are required to verify the protective traits and safety of the designed vaccine.

Indexed as

HepacivirusHepatitis CAmino Acid SequenceComputational BiologyEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansMolecular Docking SimulationVaccines, SubunitEpitopes, B-LymphocyteEpitopes, T-LymphocyteVaccines, Subunit

Identifiers

PMID36040967
PMCPMC9426923
OpenAlexW4293585919

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.