id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-307536-qeo5dfxg	Feng, Ye	Multi-epitope vaccine design using an immunoinformatics approach for 2019 novel coronavirus (SARS-CoV-2)	2020-06-30		.txt	text/plain	998	69	58	title: Multi-epitope vaccine design using an immunoinformatics approach for 2019 novel coronavirus (SARS-CoV-2) When four vaccine peptide candidates from the spike protein of SARS-CoV-2 were selected to immunize mice, a significantly larger amount of IgG in serum as well as an increase of CD19+ cells in ILNs was observed in peptide-immunized mice compared to the control mice. This study screened antigenic B-cell and T-cell epitopes in all encoded proteins of SARS-CoV-2, and further designed multi-epitope based peptide vaccine against viral structural proteins. In this study, we performed an in silico approach to identify the antigenic B-cell epitopes and human-leukocyte-antigen (HLA) restricted T-cell epitopes, and designed a panel of multi-epitope peptide vaccines. The resulting SARS-CoV-2 multi-epitope peptide vaccine could elicit specific humoral and cellular immune responses in mice efficiently, displaying its great potential in our fight of COVID-19. Based on both the epitope counts and HLA score, we 250 eventually selected 13 T-cell epitopes-only vaccine peptides.	./cache/cord-307536-qeo5dfxg.txt	./txt/cord-307536-qeo5dfxg.txt