article Open Access
Predicting population coverage of T-cell epitope-based diagnostics and vaccines
BMC Bioinformatics · 2006 · Vol. 7(1) · pp. 153–153
Huynh‐Hoa Bui✉(La Jolla Institute for Immunology)John Sidney(La Jolla Institute for Immunology)Kenny Dinh(La Jolla Institute for Immunology)Scott SouthwoodMark J. NewmanAlessandro Sette(La Jolla Institute for Immunology)
Abstract
We have developed a web-based tool to predict population coverage of T-cell epitope-based diagnostics and vaccines based on MHC binding and/or T cell restriction data. Accordingly, epitope-based vaccines or diagnostics can be designed to maximize population coverage, while minimizing complexity (that is, the number of different epitopes included in the diagnostic or vaccine), and also minimizing the variability of coverage obtained or projected in different ethnic groups.
vaccines and immunoinformatics approachesT-cell and B-cell ImmunologyImmunotherapy and Immune ResponsesEpitopeMajor histocompatibility complexPopulationHuman leukocyte antigenBiologyComputational biologyEpitope mappingMHC class IGeneticsAntigen
MeSH terms
AlgorithmsGene FrequencyGenetics, PopulationGenotypeHLA AntigensHumansImmunoassaySoftwareT-LymphocytesVaccinesEpitope MappingEpitopes, T-Lymphocyte
Funding
- National Institutes of Health
Citations
955
FWCI
2.44
field-weighted impact
References
10
Percentile
88%
vs. same field & year
Citations per year
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