BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20260521T063209EDT-7365OmtXZe@132.216.98.100 DTSTAMP:20260521T103209Z DESCRIPTION:Join D2R for this hybrid seminar with Professor Carlos Oliver f rom Vanderbilt University about 'Structure-Based Machine Learning for RNA Drug Discovery: The Story So Far'. \n\nRNA has emerged as a vast and under explored class of therapeutic targets\, yet RNA-targeted drug discovery ha s lagged behind its protein counterpart. The reasons are well-rehearsed: R NA structural data is scarce\, RNA-ligand interactions are governed by dis tinct biophysics\, and the machine learning toolkit that powered the prote in-folding revolution does not transfer cleanly to RNA. Specific small-mol ecule recognition of RNA is achievable\, but unlocking the potential of ma chine learning for RNA drug discovery will require specialized methods at every step of the workflow.\n \n In this talk\, Prof Oliver will describe su ch a pipeline. In target discovery\, substructure-aware methods learn the recurring structural building blocks of RNA and the binding pockets where small molecules engage: graph representation learning recovers and expands known motif libraries\, and adaptive graph coarsening predicts druggable binding sites that already support experimental virtual screens. In hit id entification\, structure-based virtual screening on coarse-grained\, base- pair-aware representations runs orders of magnitude faster than docking an d has produced the first experimentally validated hits from a structure-ba sed deep learning system. In evaluation\, shared benchmarking infrastructu re for RNA structure-function modeling\, alongside a recent field review p roposing standards for measuring drug-target specificity\, gives the commu nity common ground to compare approaches. The recurring theme is that resp ecting the modality\, through coarse-grained representations\, RNA-specifi c self-supervision\, and substructure-aware reasoning\, is what unlocks da ta efficiency and wet-lab translation.\n\nAgenda\n\n\n \n \n 10:30AM-10:35AM \n Welcome\n By Jérôme Waldispühl\, Associate Professor\, ºÚÁÏÍø±¬³Ô¹Ï \n \n \n 10:35AM-11:15AM\n Presentation\n By Carlos Oliver\, Assistant Professo r at Vanderbilt University \n \n \n 11:15AM-11:30AM\n \n Q&A \n Moderated by Jér ôme Waldispühl\n \n \n \n\n\nRegister\n\nRegister here to receive the Zoom li nk\n\nFor those attending in-person\, confirmation emails will be provided to registered participants a few days before the event. Space is limited!  \n\nRegister here to attend in person at D2R Office\n DTSTART:20260521T143000Z DTEND:20260521T153000Z SUMMARY:Seminar Series | Carlos Oliver 'Structure-Based Machine Learning fo r RNA Drug Discovery: The Story So Far' URL:/dna-to-rna/channels/event/seminar-series-carlos-o liver-structure-based-machine-learning-rna-drug-discovery-story-so-far-372 904 END:VEVENT END:VCALENDAR