Immunoinformatic-driven H. pylori vaccine design
Authors: 
Matthew Ardito, Songhua Zhang, William Martin, Steven F. Moss, Anne S. De Groot, Leonard MoiseAuthors Info & Claims
Pages 611 - 615
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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Index Terms
- Immunoinformatic-driven H. pylori vaccine design
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Published In
August 2010
705 pages
ISBN:9781450304382
DOI:10.1145/1854776
- General Chairs:
- Aidong Zhang,
- Mark Borodovsky,
- Program Chairs:
- Gultekin Ozsoyoglu,
- Armin Mikler
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Published: 02 August 2010
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BCB'10: ACM International Conference on Bioinformatics and Computational Biology
August 2 - 4, 2010
New York, Niagara Falls
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