id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-013315-plptulfb	Tilocca, Bruno	Immunoinformatic-Based Prediction of Candidate Epitopes for the Diagnosis and Control of Paratuberculosis (Johne’s Disease)	2020-08-27		.txt	text/plain	6827	370	40	The prompt identification and isolation of the infected animals in the subclinical stage would prevent the spread of the infection.In the present study, an immunoinformatic approach has been used to investigate the immunogenic properties of 10 MAP proteins. For each previously-described immunoreactive protein, we predicted the epitopes capable of eliciting an immune response by binding both B-cells and/or class I MHC antigens. The class I MHC epitopes as of Figure 3 are further aligned against both the mycobacteria and cow databases to assess the specificity of the predicted epitope sequences for MAP. To prove selected epitopes as suitable candidates for the unbiased diagnosis of MAP infection, we aligned the peptides sequences against a database comprising the closest taxonomically-related bacteria. Selected peptide sequences of the immunoreactive proteins were searched against the NCBInr database restricted to Mycobacterium avium subsp. Gene expression profiles during subclinical Mycobacterium avium subspecies paratuberculosis infection in sheep can predict disease outcome	./cache/cord-013315-plptulfb.txt	./txt/cord-013315-plptulfb.txt