Abstract
One useful application of pattern matching algorithms is identification of major histocompatability complex (MHC) ligands and T-cell epitopes. Peptides that bind to MHC molecules and interact with T cell receptors to stimulate the immune system are critical antigens for protection against infectious pathogens. We describe a genomes-to-vaccine approach to H. pylori vaccine design that takes advantage of bioinformatics algorithms to rapidly identify T-cell epitope sequences from large genomic datasets.
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