Researchers develop deep-learning model that outperforms Google AI system to predict peptide structures

Researchers at the University of Toronto have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides—chains of amino acids that are shorter than proteins, but perform similar biological functions.