U Of T Researchers Develop Ai Model To Predict ‘very Dynamic’ Peptide Structures

Researchers at the University of Toronto have developed a deep-learning model called PepFlow that can predict all possible shapes of peptides, which are important for drug development. The model combines machine learning and physics to accurately model the range of folding patterns of peptides.