S22-119 Sequential fragment-based ligand generation guided by geometric deep learning on protein-ligand structures Stanford researchers have developed a geometric deep learning based novel method to aid in identification and discovery of novel drug scaffolds as well as to optimize known scaffolds, as a means to combat the major challenge in drug discovery. Ron Dror Helen Yu Alex Powers Patricia Suriana