Structural analysis of linear and conformational epitopes of allergens

Ovidiu Ivanciuc, Catherine H. Schein, Tzintzuni Garcia, Numan Oezguen, Surendra S. Negi, Werner Braun

Research output: Contribution to journalArticle

25 Scopus citations

Abstract

In many countries regulatory agencies have adopted safety guidelines, based on bioinformatics rules from the WHO/FAO and EFSA recommendations, to prevent potentially allergenic novel foods or agricultural products from reaching consumers. We created the Structural Database of Allergenic Proteins (SDAP, http://fermi.utmb.edu/SDAP/) to combine data that had previously been available only as flat files on Web pages or in the literature. SDAP was designed to be user friendly, to be of maximum use to regulatory agencies, clinicians, as well as to scientists interested in assessing the potential allergenic risk of a protein. We developed methods, unique to SDAP, to compare the physicochemical properties of discrete areas of allergenic proteins to known IgE epitopes. We developed a new similarity measure, the property distance (PD) value that can be used to detect related segments in allergens with clinical observed cross-reactivity. We have now expanded this work to obtain experimental validation of the PD index as a quantitative predictor of IgE cross-reactivity, by designing peptide variants with predetermined PD scores relative to known IgE epitopes. In complementary work we show how sequence motifs characteristic of allergenic proteins in protein families can be used as fingerprints for allergenicity.

Original languageEnglish (US)
Pages (from-to)S11-S19
JournalRegulatory Toxicology and Pharmacology
Volume54
Issue number3 SUPPL.
DOIs
StatePublished - Aug 1 2009

Keywords

  • Linear and conformational epitopes
  • Sequence and structural motifs
  • Structural database of allergenic proteins (SDAP)

ASJC Scopus subject areas

  • Toxicology

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