id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-259340-1ir19s25	Das, Rohit Pritam	Identification of peptide candidate against COVID-19 through reverse vaccinology: An immunoinformatics approach	2020-07-01		.txt	text/plain	1640	128	51	Here the authors have attempted to design epitope based potential peptide as a vaccine candidate using immunoinformatics approach. As of evidence from literatures, SARS-CoV-2 Spike protein is a key protein to initiate the viral infection within a host cell thus used here as a reasonable vaccine target. To its support, strong molecular interaction of the predicted peptide was also observed with MHC molecules and Toll Like receptors. The B-cell epitopic regions present in SARS-CoV-2 S protein were identified using BcePred prediction server (https://webs.iiitd.edu.in/cgibin/bcepred/) [17] . Molecular docking was performed between the predicted peptides and MHC representative structures using PatchDock web server [22, 23, 24] . Interaction of both TLR2 and TLR4 structures with the predicted peptides were performed using PatchDock web server [22, 23, 24] . This study is focused on the prediction of effective epitopes from Spike protein of SARS-CoV-2.	./cache/cord-259340-1ir19s25.txt	./txt/cord-259340-1ir19s25.txt