“The safety of a drug does not depend only on the drug itself but also on the metabolites
that can be formed when the drug is processed in the body,” says Eleni Litsa
A new deep learning-based tool called Metabolic Translator may soon give researchers a better handle on how drugs in development will perform in the human body.
When you take a medication, you want to know precisely what it does. Pharmaceutical companies go through extensive testing to ensure that you do.
Metabolic Translator, a computational tool that predicts metabolites, the products of interactions between small molecules like drugs and enzymes could help improve the process.
The new tool takes advantage of deep-learning methods and the availability of massive reaction datasets to give developers a broad picture of what a drug will do. The method is unconstrained by rules that companies use to determine metabolic reactions, opening a path to new discoveries.