id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-303069-ss6g3jkg	Jakhar, Renu	An Immunoinformatics Study to Predict Epitopes in the Envelope Protein of SARS-COV-2	2020-05-26		.txt	text/plain	3379	202	52	A total of available 370 sequences of SARS-CoV-2 were retrieved from NCBI for bioinformatics analysis using Immune Epitope Data Base (IEDB) to predict B and T cells epitopes. CTL cell epitopes namely interacted with MHC class I alleles and we suggested them to become universal peptides based vaccine against COVID-19. The aim of this study is to analyze envelope protein strains using in silico approaches looking for the conservancy, which is further studied to predict all potential epitopes that can be used after in vitro and in vivo confirmation as a therapeutic peptide vaccine [22, 23, 24] . Envelope protein from the SARS-CoV-2 was analyzed using the IEDB MHC-1 binding prediction tool to predict the T cell epitope suggested interacting with different types of MHC Class I alleles. Analysis of the genome sequence and prediction of B-cell epitopes of the envelope protein of Middle East respiratory syndrome-coronavirus	./cache/cord-303069-ss6g3jkg.txt	./txt/cord-303069-ss6g3jkg.txt