1a. Objectives (from AD-416):
Use empirical tools to improve computational prediction models for detecting clinically relevant linear IgE binding sites.
1b. Approach (from AD-416):
a. Synthesize known and computationally predicted cross-reactive IgE binding epitopes of peanuts and tree nuts on a membrane. b. Use clinically well-characterized patient sera with known peanut and/or tree-nut (walnut and almond or cashew) allergy to assess the clinical relevance of IgE binding to a particular synthetic peptide. c. Continuously optimize computational model based on empirical data obtained from goal b.
3. Progress Report:
This is the final progress report for this project. Cross-reactive immunoglobulin E (IgE) binding sites between peanut and walnut were identified. Also, molecular models or structures were developed of Ara h 1 (from actual Ara h 1 crystal structure) and homologs of Ara h 1 in cashew, walnut and almond and the cross-reactive IgE binding sites were modeled on these proteins with molecular modeling.