Biochemists have had some success at designing drugs to match specific targets. But much of drug development remains an arduous grind, screening hundreds to thousands of chemicals for a “hit” that has the effect you’re looking for. There have been several attempts to perform this grind in silico, using computers to analyze chemicals, but they’ve had mixed results. Now, a US-Canadian team is reporting that it’s modified a neural network to handle chemistry