id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-016594-lj0us1dq	Flower, Darren R.	Identification of Candidate Vaccine Antigens In Silico	2012-09-28		.txt	text/plain	12570	653	37	In the wider context of the experimental discovery of vaccine antigens, with particular reference to reverse vaccinology, this chapter adumbrates the principal computational approaches currently deployed in the hunt for novel antigens: genome-level prediction of antigens, antigen identification through the use of protein sequence alignment-based approaches, antigen detection through the use of subcellular location prediction, and the use of alignment-independent approaches to antigen discovery. When looking at a reverse vaccinology process, the discovery of candidate subunit vaccines begins with a microbial genome, perhaps newly sequence, progresses through an extensive computational stage, ultimately to deliver a shortlist of antigens which can be validated through subsequent laboratory examination. Conventional empirical, experimental, laboratory-based microbiological ways to identify putative candidate antigens require cultivation of target pathogenic micro-organisms, followed by teasing out their component proteins, analysis in a series of in-vitro and in-vivo assays, animal models and with the ultimate objective of isolating one or two proteins displaying protective immunity.	./cache/cord-016594-lj0us1dq.txt	./txt/cord-016594-lj0us1dq.txt