A new study from the University of Cambridge demonstrates a significant breakthrough in AI-powered drug discovery. Researchers have developed a machine learning model that can predict the 3D structure of protein-drug interactions with unprecedented speed and accuracy, a process that traditionally takes months or years. This advancement could drastically reduce the time and cost of developing new pharmaceuticals. The model, trained on a vast database of known protein structures, successfully identified potential binding sites for several existing drugs, paving the way for more efficient drug repurposing and novel treatment design. The full research paper is available in the journal Nature. Read the full article at https://sciencedaily.com/releases/2024/05/240521123456.htm