Generative AI for Drug Discovery: Designing Molecules with Deep Learning

A hands-on Pathway that explores generative Deep Learning techniques for molecule design, property prediction, and optimisation, with a focus on translating models into practical workflows for drug discovery teams.

After completing this Pathway, you will be able to:

• Use diffusion, graph, and transformer-based models to design and evaluate molecules
• Explain candidate molecules using reinforcement learning and active learning under practical constraints