Spike protein-based epitopes predicted against SARS-CoV-2 through literature mining.

ABSTRACT:

Background

With the diffusion of SARS-CoV-2 around the world, human health is being threatened. As there is no effective vaccine yet, the development of the vaccine is urgently in progress.

Materials and methods

Immunoinformatics methods were applied to predict epitopes from the Spike protein through mining literature associated with B- and T-cell epitopes prediction published or preprinted since the outbreak of the virus till June 1, 2020. 3D structure of the Spike protein were obtained (PDB ID: 6VSB) for prediction of discontinuous B-cell epitopes and localization of epitopes in the hotspot regions.

Results

Methods provided by the Immune Epitope Database (IEDB) server were the most frequently used to predict epitopes. Sequence alignment of the epitopes extracted fro

SUBMITTER: Li W 

PROVIDER: S-EPMC7543752 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature