Scientists use computational modeling to guide a difficult chemical synthesis

Scientists from MIT and the University of Michigan have developed a new method for synthesizing azetidines, compounds with potential pharmaceutical applications. This process utilizes a photocatalyst and computational modeling to predict successful reactions between specific alkenes and oximes. The research aims to streamline the synthesis of these four-membered nitrogen-containing rings, which are more challenging to produce than their five-membered counterparts. This approach could lead to the creation of new drug compounds, improving efficiency and reducing costs in pharmaceutical development.

For more details, you can read the full article here: