Evidence map›Paper›PMID 39630708›Full record

ArticlePloS one2024

In Silico design of a multi-epitope vaccine for Human Parechovirus: Integrating immunoinformatics and computational techniques.

Arnob Sarker, Md Mahmudur Rahman, Chadni Khatun, Chandan Barai, Narayan Roy, Md Abdul Aziz, Md Omar Faruqe, Md Tofazzal Hossain

RetractedAbstract readRetracted Publication
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Development of a vaccine construct againstNAR genomics and bioinformatics · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Arnob SarkerDepartment of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, Bangladesh.
Md Mahmudur RahmanDepartment of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, Bangladesh.
Chadni KhatunDepartment of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, Bangladesh.ORCID 0000-0002-7584-5257
Chandan BaraiDepartment of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, Bangladesh.
Narayan RoyDepartment of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, Bangladesh.
Md Abdul AzizDepartment of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, Bangladesh.
Md Omar FaruqeDepartment of Computer Science and Engineering, University of Rajshahi, Rajshahi, Bangladesh.ORCID 0000-0002-1226-7226
Md Tofazzal HossainDepartment of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, Bangladesh.ORCID 0000-0002-2629-6562

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human parechovirus (HPeV) is widely recognized as a severe viral infection affecting infants and neonates. Belonging to the Picornaviridae family, HPeV is categorized into 19 distinct genotypes. Among them, HPeV-1 is the most prevalent genotype, primarily associated with respiratory and digestive symptoms. Considering HPeV's role as a leading cause of life-threatening viral infections in infants and the lack of effective antiviral therapies, our focus centered on developing two multi-epitope vaccines, namely HPeV-Vax-1 and HPeV-Vax-2, using advanced immunoinformatic techniques. Multi-epitope vaccines have the advantage of protecting against various virus strains and may be preferable to live attenuated vaccines. Using the NCBI database, three viral protein sequences (VP0, VP1, and VP3) from six HPeV strains were collected to construct consensus protein sequences. Then the antigenicity, toxicity, allergenicity, and stability were analyzed after discovering T-cell and linear B-cell epitopes from the protein sequences. The fundamental structures of the vaccines were produced by fusing the selected epitopes with appropriate linkers and adjuvants. Comprehensive physicochemical, antigenic, allergic assays, and disulfide engineering demonstrated the effectiveness of the vaccines. Further refinement of secondary and tertiary models for both vaccines revealed promising interactions with toll-like receptor 4 (TLR4) in molecular docking, further confirmed by molecular dynamics simulation. In silico immunological modeling was employed to assess the vaccine's capacity to stimulate an immune reaction. In silico immunological simulations were employed to evaluate the vaccines' ability to trigger an immune response. Codon optimization and in silico cloning analyses showed that Escherichia coli (E. coli) was most likely the host for the candidate vaccines. Our findings suggest that these multi-epitope vaccines could be the potential HPeV vaccines and are recommended for further wet-lab investigation.

Indexed as

Computational BiologyEpitopes, T-LymphocyteParechovirusPicornaviridae InfectionsViral VaccinesAmino Acid SequenceComputer SimulationEpitopesEpitopes, B-LymphocyteHumansImmunoinformaticsMolecular Docking SimulationToll-Like Receptor 4Viral ProteinsEpitopesEpitopes, B-LymphocyteEpitopes, T-LymphocyteToll-Like Receptor 4Viral ProteinsViral Vaccines

Identifiers

PMID39630708
PMCPMC11616865

What OpenQuestion holds

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LicenceCC BY
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.