Evidence map›Paper›PMID 25258490›Full record

ArticleBioinformation2014

Computer aided prediction and identification of potential epitopes in the receptor binding domain (RBD) of spike (S) glycoprotein of MERS-CoV.

Mohammad Tuhin Ali, Mohammed Monzur Morshed, Md Amran Gazi, Md Abu Musa, Md Golam Kibria, Md Jashim Uddin, Md Anik Ashfaq Khan, Shihab Hasan

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.1field-weighted citation impact, top 47% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Immune system response during viral Infections: Immunomodulators, cytokine storm (CS) and Immunotherapeutics in COVID-19.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2021
    Review
  3. MERS-CoV: epidemiology, molecular dynamics, therapeutics, and future challenges.Annals of clinical microbiology and antimicrobials · 2021
    Review
  4. Coronavirus infections and immune responses.Journal of medical virology · 2020
    Review
  5. Article
  6. 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

8 authors at 2 institutions in 1 country.

Mohammad Tuhin AliDepartment of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.
Mohammed Monzur MorshedDepartment of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.
Md Amran GaziLaboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Md Abu MusaLaboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Md Golam KibriaLaboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Md Jashim UddinLaboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Md Anik Ashfaq KhanLaboratory Science Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Shihab HasanBioinformatics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia ; School of Medicine, The University of Queensland (UQ), Brisbane, Queensland, Australia.
International Centre for Diarrhoeal Disease Research · BDUniversity of Dhaka · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Middle East Respiratory Syndrome Coronavirus (MERS-CoV) belongs to the coronaviridae family. In spite of several outbreaks in the very recent years, no vaccine against this deadly virus is developed yet. In this study, the receptor binding domain (RBD) of Spike (S) glycoprotein of MERS-CoV was analyzed through Computational Immunology approach to identify the antigenic determinants (epitopes). In order to do so, the sequences of S glycoprotein that belong to different geographical regions were aligned to observe the conservancy of MERS-CoV RBD. The immune parameters of this region were determined using different in silico tools and Immune Epitope Database (IEDB). Molecular docking study was also employed to check the affinity of the potential epitope towards the binding cleft of the specific HLA allele. The N-terminus RBD (S367-S606) of S glycoprotein was found to be conserved among all the available strains of MERS-CoV. Based on the lower IC50 value, a total of eight potential T-cell epitopes and 19 major histocompatibility complex (MHC) class-I alleles were identified for this conserved region. A 9-mer epitope CYSSLILDY displayed interactions with the maximum number of MHC class-I molecules and projected the highest peak in the B-cell antigenicity plot which concludes that it could be a better choice for designing an epitope based peptide vaccine against MERSCoV considering that it must undergo further in vitro and in vivo experiments. Moreover, in molecular docking study, this epitope was found to have a significant binding affinity of -8.5 kcal/mol towards the binding cleft of the HLA-C*12:03 molecule.

Indexed as

EpitopeHLA ligandMERS-CoVReceptor Binding DomainSpike glycoprotein

Identifiers

PMID25258490
PMCPMC4166774
OpenAlexW1987768716

What OpenQuestion holds

Textmetadata
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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.