id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-016126-i7z0tdrk	Dangi, Mehak	Advanced In Silico Tools for Designing of Antigenic Epitope as Potential Vaccine Candidates Against Coronavirus	2018-10-14		.txt	text/plain	3221	197	52	The present book chapter is intended to explore the potential of RV approach to select the probable vaccine candidates against coronavirus and validate the results using docking studies. Reverse vaccinology is based on same approach of computationally analysing the genome of pathogen and proceeds step by step to ultimately identify the highly antigenic, secreted proteins with high epitope densities. The most appropriate targets as vaccine candidates are those which possess the adhesion-like properties because they not only mediate the adhesion of pathogen's proteins with cells of host but also facilitate transmission of virus. None of the 11 proteins of MERS-CoV possessed any clue of allergenicity as per prediction results from AlgPred and Allertop tools; it means that no vigorous immune responses will be mounted if the epitopes from these proteins will be adopted as vaccine candidates. Identification of potential antigens from non-classically secreted proteins and designing novel multitope peptide vaccine candidate against Brucella melitensis through reverse vaccinology and immunoinformatics approach	./cache/cord-016126-i7z0tdrk.txt	./txt/cord-016126-i7z0tdrk.txt