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 at Stanford have identified a novel class of ribonucleic acid (RNA)-reactive groups that effectively modify the RNA by placing heteroaryl and aryl groups at the 2'-hydroxyl (OH) positions.
Researchers at Stanford have created ligand-induced dimerization activating RNA editing (LIDAR), a versatile molecular sensor that turns the presence of a ligand into translation of an output protein.
Researchers at Stanford University have developed a novel method for the first time to generate cardiac pericytes from human induced pluripotent stem cells that closely resemble primary cells.