Part 3/9:
Challenges in Drug Discovery and Computational Limits
As the discourse shifted toward more contemporary issues, the speaker delved into the challenges posed by the vast amount of data generated in fields like drug discovery. Despite advancements, the empirical nature of wild trial-and-error methodologies often proves to be inefficient. Current computational methods have their limits; for instance, we still lack the computational power necessary to fully model common molecules like caffeine, let alone complex molecules used for advanced medical treatments.