New deep-learning model outperforms Google AI system in predicting peptide structures

Researchers 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. Peptides are known to be highly flexible, taking on a wide range of folding patterns, and are thus involved in many biological processes of interest to researchers in the development of therapeutics.
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