The latest meeting in the RSC BMCS Hot Topics series is AI for Drug Discovery.
Artificial intelligence (AI) is becoming an increasingly important part of the drug discovery toolkit, with applications spanning target discovery, molecular design, protein modelling, and clinical development. As the field advances, AI is not only offering new technical capabilities but also changing how researchers approach the challenges of drug discovery. This meeting will highlight recent progress in AI-driven drug discovery, bringing together perspectives from industry and academia. Talks will explore enabling technologies and practical applications of AI across the drug discovery pipeline.
There is a fantastic lineup of speakers for real leaders in the field. Registration details are here https://www.rscbmcs.org/events/hottopicsai26/
| Chair: Hannah Fowler, RSC | |
|---|---|
| 12:30 | Opening Remarks |
| 12:35 | Andreas Bender, Khalifa University Title TBC |
| 13:20 | Keishi Kohara, AstraZeneca Embedding AI-Assisted Design at AstraZeneca |
| 13:50 – 14:05 | Break |
| Chair: Silvia Bonomo, Astex | |
| 14:05 | Astrid Stroobants, Novartis Title TBC |
| 14:35 | Fraser Cunningham, Recursion Title TBC |
| 15:05 | Kenneth Atz, Roche RingAnalyzer reveals widespread high-energy ring conformations across structure-based drug design workflows |
| 15:35 – 15:50 | Break |
| Chair: TBC | |
| 15:50 | Alex Rich, Inductive Bio Dose-Driven Lead Optimization in the AI Era |
| 16:20 | Maria Castellanos, OpenADMET, Open Molecular Software Foundation (OMSF) Democratizing AI for ADMET: Open Data, Community Models, and Live Benchmarks |
| 16:50 | Closing Remarks |
| 17:00 | Close of Conference |
