Scientists have used AI to discover promising drug-like compounds. The universe of molecules that could be turned into potentially life-saving drugs is mind-boggling in size: researchers estimate the number at around 10^60. That’s more than all the atoms in the solar system, offering virtually unlimited chemical possibilities – if only chemists could find the worthwhile ones! Help is, however, at hand. Now machine-learning tools can explore massive databases of existing molecules and their properties, using the information to generate new possibilities. This could make it faster and cheaper to discover new drug candidates.