Epitope-based peptide vaccines predicted against novel coronavirus disease caused by SARS-CoV-2.
Virus Res
; 288: 198082, 2020 10 15.
Article
in English
| MEDLINE | ID: covidwho-624387
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
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.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Viral Vaccines
/
Viral Matrix Proteins
/
Epitopes, T-Lymphocyte
/
Epitopes, B-Lymphocyte
/
Nucleocapsid Proteins
/
Spike Glycoprotein, Coronavirus
/
Betacoronavirus
Type of study:
Prognostic study
Topics:
Vaccines
Language:
English
Journal:
Virus Res
Journal subject:
Virology
Year:
2020
Document Type:
Article
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