Source: europeanpharmaceuticalreview.com Computer scientists have leveraged deep-learning methods to develop Metabolite Translator, a computational tool that predicts what metabolites will result from interactions between enzymes and small molecules such as drugs. The tool, created at Rice University’s Brown School of Engineering (US) in the lab of Lydia Kavraki, was designed to enable pharmaceutical companies to Read More