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Epitope-based peptide vaccines predicted against novel coronavirus disease caused by SARS-CoV-2.
Virus Res. 2020 10 15; 288:198082.VR

Abstract

The outbreak of the 2019 novel coronavirus (SARS-CoV-2) has infected millions of people with a large number of deaths across the globe. The existing therapies are limited in dealing with SARS-CoV-2 due to the sudden appearance of the virus. Therefore, vaccines and antiviral medicines are in desperate need. We took immune-informatics approaches to identify B- and T-cell epitopes for surface glycoprotein (S), membrane glycoprotein (M) and nucleocapsid protein (N) of SARS-CoV-2, followed by estimating their antigenicity and interactions with the human leukocyte antigen (HLA) alleles. Allergenicity, toxicity, physiochemical properties analysis and stability were examined to confirm the specificity and selectivity of the epitope candidates. We identified a total of five B cell epitopes in RBD of S protein, seven MHC class-I, and 18 MHC class-II binding T-cell epitopes from S, M and N protein which showed non-allergenic, non-toxic and highly antigenic features and non-mutated in 55,179 SARS-CoV-2 virus strains until June 25, 2020. The epitopes identified here can be a potentially good candidate repertoire for vaccine development.

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Authors+Show Affiliations

Lin L
Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China; School of Biological Science and Medical Engineering, Beihang University, Beijing China.
Ting S
Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China; School of Biological Science and Medical Engineering, Beihang University, Beijing China.
Yufei H
School of Biological Science and Medical Engineering, Beihang University, Beijing China.
Wendong L
Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China; School of Biological Science and Medical Engineering, Beihang University, Beijing China.
Yubo F
Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China; School of Biological Science and Medical Engineering, Beihang University, Beijing China. Electronic address: yubofan@buaa.edu.cn.
Jing Z
Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China. Electronic address: jz2716@buaa.edu.cn.

MeSH

Amino Acid SequenceBetacoronavirusBinding SitesCOVID-19COVID-19 VaccinesCoronavirus InfectionsCoronavirus M ProteinsCoronavirus Nucleocapsid ProteinsEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansImmunogenicity, VaccineModels, MolecularNucleocapsid ProteinsPandemicsPhosphoproteinsPneumonia, ViralProtein BindingProtein Conformation, alpha-HelicalProtein Conformation, beta-StrandProtein Interaction Domains and MotifsSARS-CoV-2Spike Glycoprotein, CoronavirusViral Matrix ProteinsViral Vaccines

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

32621841

Citation

Lin, Li, et al. "Epitope-based Peptide Vaccines Predicted Against Novel Coronavirus Disease Caused By SARS-CoV-2." Virus Research, vol. 288, 2020, p. 198082.
Lin L, Ting S, Yufei H, et al. Epitope-based peptide vaccines predicted against novel coronavirus disease caused by SARS-CoV-2. Virus Res. 2020;288:198082.
Lin, L., Ting, S., Yufei, H., Wendong, L., Yubo, F., & Jing, Z. (2020). Epitope-based peptide vaccines predicted against novel coronavirus disease caused by SARS-CoV-2. Virus Research, 288, 198082. https://doi.org/10.1016/j.virusres.2020.198082
Lin L, et al. Epitope-based Peptide Vaccines Predicted Against Novel Coronavirus Disease Caused By SARS-CoV-2. Virus Res. 2020 10 15;288:198082. PubMed PMID: 32621841.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Epitope-based peptide vaccines predicted against novel coronavirus disease caused by SARS-CoV-2. AU - Lin,Li, AU - Ting,Sun, AU - Yufei,He, AU - Wendong,Li, AU - Yubo,Fan, AU - Jing,Zhang, Y1 - 2020/07/01/ PY - 2020/04/12/received PY - 2020/06/29/revised PY - 2020/06/30/accepted PY - 2020/7/6/pubmed PY - 2020/10/8/medline PY - 2020/7/5/entrez KW - B-cell epitope KW - Immune-informatics KW - SARS-CoV-2 KW - Spike protein KW - T-cell epitope KW - Vaccine design SP - 198082 EP - 198082 JF - Virus research JO - Virus Res VL - 288 N2 - The outbreak of the 2019 novel coronavirus (SARS-CoV-2) has infected millions of people with a large number of deaths across the globe. The existing therapies are limited in dealing with SARS-CoV-2 due to the sudden appearance of the virus. Therefore, vaccines and antiviral medicines are in desperate need. We took immune-informatics approaches to identify B- and T-cell epitopes for surface glycoprotein (S), membrane glycoprotein (M) and nucleocapsid protein (N) of SARS-CoV-2, followed by estimating their antigenicity and interactions with the human leukocyte antigen (HLA) alleles. Allergenicity, toxicity, physiochemical properties analysis and stability were examined to confirm the specificity and selectivity of the epitope candidates. We identified a total of five B cell epitopes in RBD of S protein, seven MHC class-I, and 18 MHC class-II binding T-cell epitopes from S, M and N protein which showed non-allergenic, non-toxic and highly antigenic features and non-mutated in 55,179 SARS-CoV-2 virus strains until June 25, 2020. The epitopes identified here can be a potentially good candidate repertoire for vaccine development. SN - 1872-7492 UR - https://www.unboundmedicine.com/medline/citation/32621841/Epitope_based_peptide_vaccines_predicted_against_novel_coronavirus_disease_caused_by_SARS_CoV_2_ DB - PRIME DP - Unbound Medicine ER -