articleBMC BioinformaticsMar 17, 2006GOLD OA

Predicting population coverage of T-cell epitope-based diagnostics and vaccines

La Jolla Institute for Immunology

PubMed
Indexed incrossrefdoajpubmed

Abstract

Background

T cells recognize a complex between a specific major histocompatibility complex (MHC) molecule and a particular pathogen-derived epitope. A given epitope will elicit a response only in individuals that express an MHC molecule capable of binding that particular epitope. MHC molecules are extremely polymorphic and over a thousand different human MHC (HLA) alleles are known. A disproportionate amount of MHC polymorphism occurs in positions constituting the peptide-binding region, and as a result, MHC molecules exhibit a widely varying binding specificity. In the design of peptide-based vaccines and diagnostics, the issue of population coverage in relation to MHC polymorphism is further complicated by the fact that different HLA types are expressed at dramatically different frequencies in different ethnicities. Thus, without careful consideration, a vaccine or diagnostic with ethnically biased population coverage could result.

Results

To address this issue, an algorithm was developed to calculate, on the basis of HLA genotypic frequencies, the fraction of individuals expected to respond to a given epitope set, diagnostic or vaccine. The population coverage estimates are based on MHC binding and/or T cell restriction data, although the tool can be utilized in a more general fashion. The algorithm was implemented as a web-application available at http://epitope.liai.org:8080/tools/population.

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Authors

6

Topics & keywords

Keywords
  • Epitope
  • Major histocompatibility complex
  • Population
  • Human leukocyte antigen
  • Biology
  • Computational biology
  • Epitope mapping
  • MHC class I
UN Sustainable Development Goals
  • Good health and well-being
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Funding