U Of T Researchers Create Ai To Predict Dynamic Peptides

Researchers at the University of Toronto have developed a deep-learning model called PepFlow that can accurately predict the folding patterns of peptides, which are important biological molecules involved in various processes and potential therapeutics. The model combines machine learning and physics to capture the precise conformations of peptides within minutes, making it a valuable tool for drug development.