Kavli Affiliate: Michael Keiser | Authors: Benjamin Orr, Stephanie E Crilly, Deniz Akpinaroglu, Eleanor Zhu, Michael J. Keiser and Tanja Kortemme | Summary: Nature uses structural variations on protein folds to fine-tune the geometries of proteins for diverse functions, yet deep learning-based de novo protein design methods generate highly regular, idealized protein fold geometries that […]
Continue.. An improved model for prediction of de novo designed proteins with diverse geometries