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Epitope-based peptide vaccine design and target site depiction against Middle East Respiratory Syndrome Coronavirus: an immune-informatics study.
J Transl Med. 2019 11 08; 17(1):362.JT

Abstract

BACKGROUND

Middle East Respiratory Syndrome Coronavirus (MERS-COV) is the main cause of lung and kidney infections in developing countries such as Saudi Arabia and South Korea. This infectious single-stranded, positive (+) sense RNA virus enters the host by binding to dipeptidyl-peptide receptors. Since no vaccine is yet available for MERS-COV, rapid case identification, isolation, and infection prevention strategies must be used to combat the spreading of MERS-COV infection. Additionally, there is a desperate need for vaccines and antiviral strategies.

METHODS

The present study used immuno-informatics and computational approaches to identify conserved B- and T cell epitopes for the MERS-COV spike (S) protein that may perform a significant role in eliciting the resistance response to MERS-COV infection.

RESULTS

Many conserved cytotoxic T-lymphocyte epitopes and discontinuous and linear B-cell epitopes were predicted for the MERS-COV S protein, and their antigenicity and interactions with the human leukocyte antigen (HLA) B7 allele were estimated. Among B-cell epitopes, QLQMGFGITVQYGT displayed the highest antigenicity-score, and was immensely immunogenic. Among T-cell epitopes, MHC class-I peptide YKLQPLTFL and MHC class-II peptide YCILEPRSG were identified as highly antigenic. Furthermore, docking analyses revealed that the predicted peptides engaged in strong bonding with the HLA-B7 allele.

CONCLUSION

The present study identified several MERS-COV S protein epitopes that are conserved among various isolates from different countries. The putative antigenic epitopes may prove effective as novel vaccines for eradication and combating of MERS-COV infection.

Authors+Show Affiliations

College of Informatics, Huazhong Agricultural University, Wuhan, People's Republic of China. m.tahirulqamar@webmail.hzau.edu.cn.Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Pakistan.Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Pakistan.College of Informatics, Huazhong Agricultural University, Wuhan, People's Republic of China.Department of Chemistry, University of Sargodha, Sargodha, Pakistan.Department of Pharmaceutical Chemistry, College of Pharmacy, Prince Sattam bin Abdul Aziz University, Alkharj, Saudi Arabia. safar.alqahtani@psau.edu.sa.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31703698

Citation

Tahir Ul Qamar, Muhammad, et al. "Epitope-based Peptide Vaccine Design and Target Site Depiction Against Middle East Respiratory Syndrome Coronavirus: an Immune-informatics Study." Journal of Translational Medicine, vol. 17, no. 1, 2019, p. 362.
Tahir Ul Qamar M, Saleem S, Ashfaq UA, et al. Epitope-based peptide vaccine design and target site depiction against Middle East Respiratory Syndrome Coronavirus: an immune-informatics study. J Transl Med. 2019;17(1):362.
Tahir Ul Qamar, M., Saleem, S., Ashfaq, U. A., Bari, A., Anwar, F., & Alqahtani, S. (2019). Epitope-based peptide vaccine design and target site depiction against Middle East Respiratory Syndrome Coronavirus: an immune-informatics study. Journal of Translational Medicine, 17(1), 362. https://doi.org/10.1186/s12967-019-2116-8
Tahir Ul Qamar M, et al. Epitope-based Peptide Vaccine Design and Target Site Depiction Against Middle East Respiratory Syndrome Coronavirus: an Immune-informatics Study. J Transl Med. 2019 11 8;17(1):362. PubMed PMID: 31703698.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Epitope-based peptide vaccine design and target site depiction against Middle East Respiratory Syndrome Coronavirus: an immune-informatics study. AU - Tahir Ul Qamar,Muhammad, AU - Saleem,Saman, AU - Ashfaq,Usman Ali, AU - Bari,Amna, AU - Anwar,Farooq, AU - Alqahtani,Safar, Y1 - 2019/11/08/ PY - 2019/08/15/received PY - 2019/10/26/accepted PY - 2019/11/10/entrez PY - 2019/11/11/pubmed PY - 2020/9/12/medline KW - Computational approaches KW - MERS-COV KW - Spike protein KW - T-and B-cell epitopes KW - Vaccine design SP - 362 EP - 362 JF - Journal of translational medicine JO - J Transl Med VL - 17 IS - 1 N2 - BACKGROUND: Middle East Respiratory Syndrome Coronavirus (MERS-COV) is the main cause of lung and kidney infections in developing countries such as Saudi Arabia and South Korea. This infectious single-stranded, positive (+) sense RNA virus enters the host by binding to dipeptidyl-peptide receptors. Since no vaccine is yet available for MERS-COV, rapid case identification, isolation, and infection prevention strategies must be used to combat the spreading of MERS-COV infection. Additionally, there is a desperate need for vaccines and antiviral strategies. METHODS: The present study used immuno-informatics and computational approaches to identify conserved B- and T cell epitopes for the MERS-COV spike (S) protein that may perform a significant role in eliciting the resistance response to MERS-COV infection. RESULTS: Many conserved cytotoxic T-lymphocyte epitopes and discontinuous and linear B-cell epitopes were predicted for the MERS-COV S protein, and their antigenicity and interactions with the human leukocyte antigen (HLA) B7 allele were estimated. Among B-cell epitopes, QLQMGFGITVQYGT displayed the highest antigenicity-score, and was immensely immunogenic. Among T-cell epitopes, MHC class-I peptide YKLQPLTFL and MHC class-II peptide YCILEPRSG were identified as highly antigenic. Furthermore, docking analyses revealed that the predicted peptides engaged in strong bonding with the HLA-B7 allele. CONCLUSION: The present study identified several MERS-COV S protein epitopes that are conserved among various isolates from different countries. The putative antigenic epitopes may prove effective as novel vaccines for eradication and combating of MERS-COV infection. SN - 1479-5876 UR - https://www.unboundmedicine.com/medline/citation/31703698/Epitope_based_peptide_vaccine_design_and_target_site_depiction_against_Middle_East_Respiratory_Syndrome_Coronavirus:_an_immune_informatics_study_ L2 - https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-019-2116-8 DB - PRIME DP - Unbound Medicine ER -