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Designing Multi-Epitope Vaccines to Combat Emerging Coronavirus Disease 2019 (COVID-19) by Employing Immuno-Informatics Approach.
Front Immunol. 2020; 11:1663.FI

Abstract

A recent pandemic caused by a single-stranded RNA virus, COVID-19, initially discovered in China, is now spreading globally. This poses a serious threat that needs to be addressed immediately. Genome analysis of SARS-CoV-2 has revealed its close relation to SARS-coronavirus along with few changes in its spike protein. The spike protein aids in receptor binding and viral entry within the host and therefore represents a potential target for vaccine and therapeutic development. In the current study, the spike protein of SARS-CoV-2 was explored for potential immunogenic epitopes to design multi-epitope vaccine constructs. The S1 and S2 domains of spike proteins were analyzed, and two vaccine constructs were prioritized with T-cell and B-cell epitopes. We adapted a comprehensive predictive framework to provide novel insights into immunogenic epitopes of spike proteins, which can further be evaluated as potential vaccine candidates against COVID-19. Prioritized epitopes were then modeled using linkers and adjuvants, and respective 3D models were constructed to evaluate their physiochemical properties and their possible interactions with ACE2, HLA Superfamily alleles, TLR2, and TLR4.

Authors+Show Affiliations

Institute of Molecular Biology and Biotechnology (IMBB), The University of Lahore (UOL), Lahore, Pakistan.Atta-ur-Rehman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad, Pakistan.Department of Biochemistry, Khawaja Muhammad Safdar Medical College, Sialkot, Pakistan.Institute of Molecular Biology and Biotechnology (IMBB), The University of Lahore (UOL), Lahore, Pakistan.Atta-ur-Rehman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad, Pakistan.Institute of Molecular Biology and Biotechnology (IMBB), The University of Lahore (UOL), Lahore, Pakistan.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

32754160

Citation

Naz, Anam, et al. "Designing Multi-Epitope Vaccines to Combat Emerging Coronavirus Disease 2019 (COVID-19) By Employing Immuno-Informatics Approach." Frontiers in Immunology, vol. 11, 2020, p. 1663.
Naz A, Shahid F, Butt TT, et al. Designing Multi-Epitope Vaccines to Combat Emerging Coronavirus Disease 2019 (COVID-19) by Employing Immuno-Informatics Approach. Front Immunol. 2020;11:1663.
Naz, A., Shahid, F., Butt, T. T., Awan, F. M., Ali, A., & Malik, A. (2020). Designing Multi-Epitope Vaccines to Combat Emerging Coronavirus Disease 2019 (COVID-19) by Employing Immuno-Informatics Approach. Frontiers in Immunology, 11, 1663. https://doi.org/10.3389/fimmu.2020.01663
Naz A, et al. Designing Multi-Epitope Vaccines to Combat Emerging Coronavirus Disease 2019 (COVID-19) By Employing Immuno-Informatics Approach. Front Immunol. 2020;11:1663. PubMed PMID: 32754160.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Designing Multi-Epitope Vaccines to Combat Emerging Coronavirus Disease 2019 (COVID-19) by Employing Immuno-Informatics Approach. AU - Naz,Anam, AU - Shahid,Fatima, AU - Butt,Tariq Tahir, AU - Awan,Faryal Mehwish, AU - Ali,Amjad, AU - Malik,Arif, Y1 - 2020/07/10/ PY - 2020/04/01/received PY - 2020/06/22/accepted PY - 2020/8/6/entrez PY - 2020/8/6/pubmed PY - 2020/8/22/medline KW - COVID-19 KW - S1 domain KW - S2 domain KW - corona vaccine KW - coronavirus KW - spike protein SP - 1663 EP - 1663 JF - Frontiers in immunology JO - Front Immunol VL - 11 N2 - A recent pandemic caused by a single-stranded RNA virus, COVID-19, initially discovered in China, is now spreading globally. This poses a serious threat that needs to be addressed immediately. Genome analysis of SARS-CoV-2 has revealed its close relation to SARS-coronavirus along with few changes in its spike protein. The spike protein aids in receptor binding and viral entry within the host and therefore represents a potential target for vaccine and therapeutic development. In the current study, the spike protein of SARS-CoV-2 was explored for potential immunogenic epitopes to design multi-epitope vaccine constructs. The S1 and S2 domains of spike proteins were analyzed, and two vaccine constructs were prioritized with T-cell and B-cell epitopes. We adapted a comprehensive predictive framework to provide novel insights into immunogenic epitopes of spike proteins, which can further be evaluated as potential vaccine candidates against COVID-19. Prioritized epitopes were then modeled using linkers and adjuvants, and respective 3D models were constructed to evaluate their physiochemical properties and their possible interactions with ACE2, HLA Superfamily alleles, TLR2, and TLR4. SN - 1664-3224 UR - https://www.unboundmedicine.com/medline/citation/32754160/Designing_Multi_Epitope_Vaccines_to_Combat_Emerging_Coronavirus_Disease_2019__COVID_19__by_Employing_Immuno_Informatics_Approach_ L2 - https://doi.org/10.3389/fimmu.2020.01663 DB - PRIME DP - Unbound Medicine ER -