S21-193 Prediction of RNA structure with equivariant neural networks A new deep-learning system called Atomic Rotationally Equivariant Scorer (ARES) significantly improves the prediction of RNA structures over previous artificial intelligence (AI) models. Raphael Townshend Stephan Eismann Andrew Watkins Ron Dror Rhiju Das
S19-310 Rational Design of Ultratight RNA Aptamers against Protein Targets Stanford researchers have developed a computational approach for designing RNA modules with ultratight and ultraspecific recognition of any protein. Rhiju Das Kalli Kappel Joseph Yesselman