Artificial intelligence-aided screening could boost speed of new drug discovery
Using a natural language-inspired technique, researchers at the University of Central Florida, US, developed an interpretable and generalisable drug target interaction model that achieves 97 percent accuracy in identifying drug candidates for a broad variety of target proteins. Here, Dr Ozlem Ozmen Garibay and Aida Tayebi, who worked on the…