A Refreshed AI & ML Focus Day
The interest in AI & ML applications in GPCR-targeted drug discovery is accelerating, but many uncertainties remain. As the field pushes toward deeper computational integration, key questions continue to shape the path forward, including:
- Can AI accurately predict GPCR structure, dynamics, and conformational flexibility?
- To what extent can AI model ligand-GPCR interactions across modalities?
- Can AI enhance target deconvolution and reveal new druggable GPCRs?
- How do we overcome data scarcity, bias, and low-quality datasets?
- Can AI design GPCR-biased ligands or predict signaling outcomes?
- What is required to build validated, interpretable, regulatory-ready models?
- How reliably can AI integrate structural, pharmacological, and dynamic data?
Our speakers will address these challenges throughout the day, with a panel discussion providing an opportunity to ask your own questions on the future of AI in GPCR drug discovery.
Real-World Translation Stories
In 2026, we're shining a spotlight on the translational breakthroughs moving GPCR-targeted therapeutics from discovery toward clinical reality. Learn how experts are engineering long-acting molecules, refining polypharmacology, leveraging systems biology, and deploying biomarker-driven strategies to de-risk and accelerate clinical development.
Attending Companies Include