Immunoinformatics approach of epitope prediction for SARS-CoV-2.

ABSTRACT:

Background

The novel coronavirus (SARS-CoV-2) caused lethal infections worldwide during an unprecedented pandemic. Identification of the candidate viral epitopes is the first step in the design of vaccines against the viral infection. Several immunoinformatic approaches were employed to identify the SARS-CoV-2 epitopes that bind specifically with the major histocompatibility molecules class I (MHC-I). We utilized immunoinformatic tools to analyze the whole viral protein sequences, to identify the SARS-CoV-2 epitopes responsible for binding to the most frequent human leukocyte antigen (HLA) alleles in the Egyptian population. These alleles were also found with high frequency in other populations worldwide.

Results

Molecular docking approach showed that using the co-crystalliz

SUBMITTER: Awad N 

PROVIDER: S-EPMC9019534 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature