id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-339091-3xk2w0d2	Flower, Darren R	Computer aided selection of candidate vaccine antigens	2010-11-03		.txt	text/plain	10669	558	40	The effective development of antigen prediction methods would significantly reduce the laboratory resource required to identify pathogenic proteins as candidate subunit vaccines. Initially, the pathogenic genome is scanned for "open reading frames" or ORFs. Once all ORFs have been identified, proteins are selected on the basis that they will be accessible to immune system surveillance, usually using some form of informatic-based prediction methodology or, more likely, set of methdologies. We shall below examine three key approaches: subcellular location prediction, sequence similarity, and empirical statistical approaches, typified by VaxiJen. For a protein to be accessible to surveillance by the immune system, it is often assumed to be physically external to the microbial organism or at least present on its surface rather than being sequestered away far from the roving eye of the immune system.	./cache/cord-339091-3xk2w0d2.txt	./txt/cord-339091-3xk2w0d2.txt