IEDB

IEDB predicts clinical cross-reactivity among allergen epitopes by analyzing experimentally validated IgE-binding epitopes from the Immune Epitope Database to identify conserved epitopes across shellfish and inhalant invertebrate allergens.

Key Features:

• Epitope Conservation Model: Uses an epitope conservation model based on experimentally validated IgE-binding epitopes to analyze sequence and structural similarities among allergenic proteins from shellfish, mites, and cockroaches.
• Comprehensive Database Access: Leverages the Immune Epitope Database and Analysis Resource containing more than 95% of published epitopes for infectious disease, allergy, autoimmune, and transplant research.
• Cross-Reactivity Prediction: Integrates informatics-based modeling with experimental epitope data to identify cross-reactive and non-cross-reactive epitopes and distinguish sensitization profiles across invertebrate allergens.
• Component-Resolved Diagnosis: Supports component-resolved diagnosis by identifying specific epitopes that contribute to cross-reactions between allergen components.

Scientific Applications:

• Improved Diagnosis: Identifying specific allergenic epitopes to improve diagnostic accuracy for shellfish and inhalant invertebrate allergies.
• Therapeutic Development: Informing development of epitope-targeted therapeutics by prioritizing epitopes implicated in cross-reactivity.
• Allergy Management: Stratifying patient sensitization profiles to guide personalized allergy management.

Methodology:

Combines experimentally validated IgE-binding epitope data with computational models and applies an epitope conservation model to allergenic proteins (e.g., shrimp proteins) to identify conserved epitopes.