Award
NIH Reporter #1R35GM163670-01
AI-enabled methods for de novo design of functional peptides
Recipient
University of Washington, Seattle, WA, United States
Award Amount
$517,083.00
Ceiling
$517,083.00
Awarded
June 10, 2026
Identifier
1R35GM163670-01
This award supports the development of advanced deep learning methods to design functional macrocyclic peptides that can target intracellular protein-protein interactions, aiming to overcome limitations of traditional peptide therapeutic development.
Description
Development of structure-guided deep learning tools for the design of macrocyclic peptides with therapeutic potential, focusing on target binding, selectivity, and membrane permeability.