id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-351472-ch004jxy	Vashi, Yoya	Understanding the B and T cells epitopes of spike protein of severe respiratory syndrome coronavirus-2: A computational way to predict the immunogens	2020-04-10		.txt	text/plain	1335	161	71	The present study followed computational approaches to identify Band T-cell epitopes for spike 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. We identified 18 linear epitopes, predicted by ElliPro (IEDB), which contains regions from 128 19 of our selected peptides highlighted in red in Table 2 . Using the same module, B-cell discontinuous epitopes were predicted, which gave 16 133 epitope regions that contained regions from 18 of our selected peptides highlighted in red 134 (Table 3) . Regions from all of our selected peptides were found to be potential T-cell 7 epitope(s) with high binding affinity with HLA-A and HLA-B alleles, except one. IEDB ElliPro predicted discontinuous epitopes for spike protein of SARS-CoV-2.	./cache/cord-351472-ch004jxy.txt	./txt/cord-351472-ch004jxy.txt