Evidence map›Paper›PMID 25857850›Full record

ArticleScandinavian journal of immunology2015

Epitope-based peptide vaccine design and target site depiction against Ebola viruses: an immunoinformatics study.

M A Khan, M U Hossain, S M Rakib-Uz-Zaman, M N Morshed

Open access · bronzeAbstract read
In one paragraph

Article in Scandinavian journal of immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Saudi journal of biological sciences · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Implementation ofHeliyon · 2021
    Article
  15. Genome based evolutionary lineage of SARS-CoV-2 towards the development of novel chimeric vaccine.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020
    Article
  16. Designing a novel mRNA vaccine against SARS-CoV-2: An immunoinformatics approach.International journal of biological macromolecules · 2020
    Article
  17. Review
  18. Article
  19. Article
  20. Epitope Prediction by Novel Immunoinformatics Approach: A State-of-the-art Review.International journal of peptide research and therapeutics · 2020
    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

4 authors at 3 institutions in 2 countries.

M A KhanDepartment of Science and Humanities, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Bangladesh.
M U HossainDepartment of Biotechnology and Genetic Engineering, Life Science Faculty, Mawlana Bhashani Science and Technology University, Santosh, Bangladesh.
S M Rakib-Uz-ZamanDepartment of Genetic Engineering and Biotechnology, Life Science Faculty, Shahjalal University of Science and Technology, Kumargaon, Bangladesh.
M N MorshedDepartment of Science and Humanities, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Bangladesh.
Mirpur University of Science and Technology · PKMawlana Bhashani Science and Technology University · BDShahjalal University of Science and Technology · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ebola viruses (EBOVs) have been identified as an emerging threat in recent year as it causes severe haemorrhagic fever in human. Epitope-based vaccine design for EBOVs remains a top priority because a mere progress has been made in this regard. Another reason is the lack of antiviral drug and licensed vaccine although there is a severe outbreak in Central Africa. In this study, we aimed to design an epitope-based vaccine that can trigger a significant immune response as well as to prognosticate inhibitor that can bind with potential drug target sites using various immunoinformatics and docking simulation tools. The capacity to induce both humoral and cell-mediated immunity by T cell and B cell was checked for the selected protein. The peptide region spanning 9 amino acids from 42 to 50 and the sequence TLASIGTAF were found as the most potential B and T cell epitopes, respectively. This peptide could interact with 12 HLAs and showed high population coverage up to 80.99%. Using molecular docking, the epitope was further appraised for binding against HLA molecules to verify the binding cleft interaction. In addition with this, the allergenicity of the epitopes was also evaluated. In the post-therapeutic strategy, docking study of predicted 3D structure identified suitable therapeutic inhibitor against targeted protein. However, this computational epitope-based peptide vaccine designing and target site prediction against EBOVs open up a new horizon which may be the prospective way in Ebola viruses research; the results require validation by in vitro and in vivo experiments.

Indexed as

Computational BiologyEbola VaccinesEbolavirusEpitopes, T-LymphocyteHemorrhagic Fever, EbolaHLA-A AntigensHLA-B AntigensHLA-C AntigensHumansImmunodominant EpitopesMolecular Docking SimulationProtein BindingProtein Structure, SecondaryVaccines, SubunitEbola VaccinesEpitopes, T-LymphocyteHLA-A AntigensHLA-B AntigensHLA-C AntigensImmunodominant EpitopesVaccines, Subunit

Identifiers

PMID25857850
PMCPMC7169600
OpenAlexW2125166143

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.