id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-318625-hf7fgtnp	Vashi, Yoya	Understanding the B and T cell epitopes of spike protein of severe acute respiratory syndrome coronavirus-2: A computational way to predict the immunogens	2020-05-27		.txt	text/plain	2923	180	57	The present study followed computational approaches to identify Band T-cell epitopes for the spike (S) glycoprotein of SARS-CoV-2 by its interactions with the human leukocyte antigen alleles. The work could be useful for understanding the immunodominant regions in the surface protein of SARS-CoV-2 and could potentially help in designing some peptide-based diagnostics. The potential epitope regions were predicted using the sequence of the S protein of SARS-CoV-2 that showed the least variability (GenBank accession number NC_045512). We identified 18 linear epitopes, predicted by ElliPro (IEDB), which contained regions from 19 of our selected peptides (highlighted in red in Table 2 ). The study could help us to use the predicted peptide as an immunogen for the development of diagnostics and vaccines against SARS-CoV-2. In the present study, peptide segments were identified on S proteins for the development of diagnostics and vaccines against SARS-CoV-2.	./cache/cord-318625-hf7fgtnp.txt	./txt/cord-318625-hf7fgtnp.txt