Award
NIH Reporter #1R35GM163670-01
AI-enabled methods for de novo design of functional peptides
Recipient
University of Washington, Seattle, WA
Award Amount
$517,083.00
Ceiling
$517,083.00
Awarded
June 10, 2026
Identifier
1R35GM163670-01
Development of deep learning methods for designing therapeutic macrocyclic peptides targeting intracellular protein-protein interactions, including viral fusion and attachment proteins.
Description
This project aims to develop next-generation deep learning-based generative methods for designing structured peptide monomers and target-specific binders de novo, enabling rapid, precise, and custom design of functional macrocycles against a wide range of disease-relevant protein targets.