New deep-learning model outperforms Google AI system in predicting peptide structures, according to researchers
Researchers at the University of Toronto have developed a new deep learning model called PepFlow, which can predict the various forms that peptides, chains of amino acids, can take on. This model combines machine learning and physics to accurately model the folding patterns of peptides based on their energy landscape. Peptides are dynamic molecules that … Read more