Award
National Institute of Allergy and Infectious Diseases 1R01AI195888-01
Novel Artificial Intelligence approaches to distinguish allergenic from non-allergenic proteins
Recipient
University of Texas Medical Branch at Galveston
Award Amount
$429,499.00
Ceiling
$429,499.00
Awarded
February 13, 2026
Identifier
1R01AI195888-01
Development of AI-based tools to model allergenic proteins using structural data to better predict allergenicity and improve immunotherapy strategies for food allergens, focusing on peanut allergens.
Description
The project aims to develop and apply novel artificial intelligence strategies to identify new potentially allergenic triggers in food allergens. It involves modeling proteins using Alphafold-2, incorporating 3D structural information into the AllergenAI machine learning tool, and experimentally assessing the predictive abilities of the model. The research focuses on allergens such as vicilin proteins, including major allergens like Ara h 1 of peanuts, and aims to improve allergen prediction methods to enhance immunotherapy design.