There is broad potential to modulate RNA using small molecules, replacing more costly and difficult-to-administer oligonucleotide therapies. However, methods for screening for such small molecules are lacking.
A new deep-learning system called Atomic Rotationally Equivariant Scorer (ARES) significantly improves the prediction of RNA structures over previous artificial intelligence (AI) models.