A new deep-learning system called Atomic Rotationally Equivariant Scorer (ARES) significantly improves the prediction of RNA structures over previous artificial intelligence (AI) models.
Stanford researchers in Professor Rhiju Das's lab have devised a method called RNAMake to optimize nucleic acids, such as aptamers and messenger RNAs, and enhance their effectiveness for clinical settings.