Evidence map›Paper›PMID 31075428›Full record

ArticleMicrobial pathogenesis2019

Conserved B and T cell epitopes prediction of ebola virus glycoprotein for vaccine development: An immuno-informatics approach.

Bilal Ahmad, Usman Ali Ashfaq, Mahmood-Ur Rahman, Muhammad Shareef Masoud, Muhammad Zubair Yousaf

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In one paragraph

Article in Microbial pathogenesis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
7.8field-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

36 citing papers in PubMed, 71 citations in OpenAlex.

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  12. Vaccinomics to Design a Multi-Epitopes Vaccine forInternational journal of environmental research and public health · 2022
    Article
  13. Vaccinomics to Design a Multiepitope Vaccine againstBioMed research international · 2022
    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 2 institutions in 1 country.

Bilal AhmadDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Pakistan.
Usman Ali AshfaqDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Pakistan. Electronic address: ashfaqua@gcuf.edu.pk.
Mahmood-Ur RahmanDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Pakistan.
Muhammad Shareef MasoudDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Pakistan.
Muhammad Zubair YousafDepartment of Biological Sciences, Forman Christian College University, Ferozpur Road, 54600, Lahore, Pakistan.
Government College University, Faisalabad · PKForman Christian College · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ebola virus (EBOV), a non-segmented single-stranded RNA virus, is often-most transmitted through body fluids like sweat, tears, saliva, and nasal secretions. Till date, there is no licensed vaccine of EBOV is available in the market; however, the world is increasingly vulnerable to this emerging threat. Hence, it is the need of time to develop a vaccine for EBOV to hinder its dissemination. The current study has been designed for identification and characterization of the potential B and T-cell epitopes using the Immuno-informatics tools, and it helped in finding the potent vaccine candidates against EBOV. Prediction, antigenicity and allergenicity testing of predicted B and T cells' epitopes was done as well to identify their potential as a vaccine candidate and to measure their safety level respectively. Among B-cell epitopes "WIPAGIGVTGVIIA" showed a high antigenicity score and it would play an important role in evoking the immune response. In T-cell epitopes, peptides "AIGLAWIPY" and "IRGFPRCRY" presented high antigenicity score, which binds to MHC class-I and MHC class-II alleles respectively. All predicted epitopes were analyzed and compared with already reported peptides carefully. Comparatively, Peptides predicted in the present study showed more immunogenicity score than already reported peptides, used as positive control, and are more immunogenic as compared to them. Peptides reported in the present study do not target only Zaire EBOV (ZEBOV), as in previous studies, but also other species, i.e. Tai Forest EBOV (TAFV), Sudan EBOV (SUDV), Bundibugyo EBOV (BDBV), and Reston EBOV (RESTV) and would bring the promising results as potent vaccine candidates.

Indexed as

AllelesAmino Acid SequenceEbola VaccinesEbolavirusEpitopes, B-LymphocyteEpitopes, T-LymphocyteGenes, MHC Class IGenes, MHC Class IIGlycoproteinsHLA-B7 AntigenImmunogenicity, VaccineMolecular Docking SimulationProtein Structure, SecondaryEbola VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteGlycoproteinsHLA-B7 Antigen

Identifiers

PMID31075428
PMCPMC7270928
OpenAlexW2944106575

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.