Evidence map›Paper›PMID 30382118›Full record

ArticleScientific reports2018

Exploring NS3/4A, NS5A and NS5B proteins to design conserved subunit multi-epitope vaccine against HCV utilizing immunoinformatics approaches.

Aqsa Ikram, Tahreem Zaheer, Faryal Mehwish Awan, Ayesha Obaid, Anam Naz, Rumeza Hanif, Rehan Zafar Paracha, Amjad Ali, Abdul Khaliq Naveed, Hussnain Ahmed Janjua

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

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  7. Frontiers in microbiology · 2024
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  18. Immunomodulatory and Allergenic Properties of Antimicrobial Peptides.International journal of molecular sciences · 2022
    Review
  19. Article
  20. Article
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

10 authors.

Aqsa IkramDepartment of Industrial Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad, Pakistan.
Tahreem ZaheerDepartment of Industrial Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad, Pakistan.
Faryal Mehwish AwanDepartment of Industrial Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad, Pakistan.
Ayesha ObaidDepartment of Industrial Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad, Pakistan.
Anam NazDepartment of Industrial Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad, Pakistan.
Rumeza HanifDepartment of Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad, Pakistan.
Rehan Zafar ParachaResearch Center for Modeling & Simulation (RCMS), National University of Sciences & Technology (NUST), Islamabad, Pakistan.
Amjad AliDepartment of Industrial Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad, Pakistan.ORCID http://orcid.org/0000-0002-0486-4661
Abdul Khaliq NaveedIslamic International Medical College, Riphah International University Rawalpindi, Islamabad, Pakistan.
Hussnain Ahmed JanjuaDepartment of Industrial Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad, Pakistan. janjua.hussnain@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis C virus (HCV) vaccines, designed to augment specific T-cell responses, have been designated as an important aspect of effective antiviral treatment. However, despite the current satisfactory progress of these vaccines, extensive past efforts largely remained unsuccessful in mediating clinically relevant anti-HCV activity in humans. In this study, we used a series of immunoinformatics approaches to propose a multiepitope vaccine against HCV by prioritizing 16 conserved epitopes from three viral proteins (i.e., NS34A, NS5A, and NS5B). The prioritised epitopes were tested for their possible antigenic combinations with each other along with linker AAY using structural modelling and epitope-epitope interactions analysis. An adjuvant (β-defensin) at the N-terminal of the construct was added to enhance the immunogenicity of the vaccine construct. Molecular dynamics (MD) simulation revealed the most stable structure of the proposed vaccine. The designed vaccine is potentially antigenic in nature and can form stable and significant interactions with Toll-like receptor 3 and Toll-like receptor 8. The proposed vaccine was also subjected to an in silico cloning approach, which confirmed its expression efficiency. These analyses suggest that the proposed vaccine can elicit specific immune responses against HCV; however, experimental validation is required to confirm the safety and immunogenicity profile of the proposed vaccine construct.

Indexed as

Amino Acid SequenceComputational BiologyDEAD-box RNA HelicasesEpitopes, T-LymphocyteHepacivirusHepatitis CHumansMolecular Dynamics SimulationNucleoside-TriphosphataseProtein ConformationReceptors, ImmunologicRNA-Dependent RNA PolymeraseRNA HelicasesSerine EndopeptidasesT-LymphocytesVaccines, SubunitDEAD-box RNA HelicasesEpitopes, T-LymphocyteNS3 protein, flavivirusNS-5 protein, hepatitis C virusNucleoside-TriphosphataseReceptors, ImmunologicRNA-Dependent RNA PolymeraseRNA HelicasesSerine EndopeptidasesVaccines, SubunitViral Nonstructural ProteinsViral Proteases

Identifiers

PMID30382118
PMCPMC6208421

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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.