Scientists use computational modeling to guide a difficult chemical synthesis

Researchers from MIT and the University of Michigan have discovered a new method to synthesize azetidines, compounds with pharmaceutical potential, using a photocatalyst and computational modeling. This approach allows for the prediction and prescreening of reactants, improving the efficiency of chemical synthesis. It could significantly impact the pharmaceutical industry by predicting useful compounds before investing in costly experiments, particularly in creating compounds that are traditionally difficult to synthesize.