期刊
METHODS
卷 29, 期 3, 页码 289-298出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/S1046-2023(02)00351-1
关键词
bioinformatics; human lymphocyte antigen; major histocompatibility class; class I; T-cell; epitope; cytotoxic T lymphocyte; cytotoxic T cell; algorithm
资金
- NIAID NIH HHS [R21 AI 45416, R01 AI 40125, 1R43 AI 46212] Funding Source: Medline
The lack of simple methods to identify relevant T-cell epitopes, the high mutation rate of many pathogens and restriction of T-cell response to epitopes due to human lymphocyte antigen (HLA) polymorphism have significantly hindered the development of cytotoxic T-lymphocyte (CTL) epitope-based or epitope-driven vaccines. Previously, CTL epitopes were mapped using large arrays of overlapping synthetic peptides. The large number of protein sequences available for mapping is now making this method prohibitively expensive and time-consuming. Bioinformatics tools such as EpiMatrix and Conservatrix, which search for unique or multi-HLA-restricted (promiscuous) T-cell epitopes and identify epitopes that are conserved across variant strains of the same pathogen, accelerate epitope mapping. These tools offer a significant advantage over other methods of epitope selection because high-throughput screening can be performed in silico, followed by confirmatory studies in vitro. CTL epitopes discovered using these tools might be used to develop novel vaccines and therapeutics for the prevention and treatment of infectious diseases such as human immunodeficiency virus, hepatitis C, tuberculosis, and some cancers. (C) 2003 Elsevier Science (USA). All rights reserved.
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