Bioinformatics analysis of epitope-based vaccine design against the novel SARS-CoV-2.

ABSTRACT:

Background

An outbreak of infection caused by SARS-CoV-2 recently has brought a great challenge to public health. Rapid identification of immune epitopes would be an efficient way to screen the candidates for vaccine development at the time of pandemic. This study aimed to predict the protective epitopes with bioinformatics methods and resources for vaccine development.

Methods

The genome sequence and protein sequences of SARS-CoV-2 were retrieved from the National Center for Biotechnology Information (NCBI) database. ABCpred and BepiPred servers were utilized for sequential B-cell epitope analysis. Discontinuous B-cell epitopes were predicted via DiscoTope 2.0 program. IEDB server was utilized for HLA-1 and HLA-2 binding peptides computation. Surface accessibility, antigeni

SUBMITTER: Chen HZ 

PROVIDER: S-EPMC7395940 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature