A new deep-learning system called Atomic Rotationally Equivariant Scorer (ARES) significantly improves the prediction of RNA structures over previous artificial intelligence (AI) models.
Researchers in the Burns group at Stanford designed a reaction methodology that allows for a green and inexpensive cycloaddition of amine or amide-containing unactivated olefins for the synthesis of biologically relevant cyclobutanes.