Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and suddenly, a molecule makes a promising new medicine. Normally, creating better molecules consumes huge amounts of time and money. In a new study appearing in Nature, researchers have used machine learning to build a smarter prediction system that could speed up the process at a fraction of the cost.
