id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-272241-2fwz8z8n	Kumar, Amit	Exploring the SARS-CoV-2 structural proteins for multi-epitope vaccine development: an in-silico approach	2020-09-09		.txt	text/plain	4608	281	49	title: Exploring the SARS-CoV-2 structural proteins for multi-epitope vaccine development: an in-silico approach Hence, in this study, we have used immunoinformatic approaches to predict highly antigenic epitopes from SARS-CoV-2 structural proteins that would evoke a strong immune response in humans. For this purpose, we have used the structural proteins: Spike, Envelope, and nucleocapsid to predict B-cell, cytotoxic T lymphocyte (CTL) and helper T lymphocyte (HTL) epitopes for construction of vaccine. We have also performed the docking and molecular dynamic simulations (MDS) between the vaccine and human Toll-like Receptor-3 (TLR-3) to study their binding stability. The VaxiJen 2.0 server predicts the antigenicity of the multi-epitope vaccine peptide based on the physicochemical properties of the input protein. Whereas, ANTIGENpro server predicts the antigenicity of the multi-epitopic vaccine based on the protein microarray data analysis of the target organism. Three structural proteins (spike glycoprotein, nucleocapsid, and envelope) were selected to construct a multi-epitope vaccine, which is capable of eliciting the humoral and cell-mediated immune response.	./cache/cord-272241-2fwz8z8n.txt	./txt/cord-272241-2fwz8z8n.txt