A new study from the University of Cambridge demonstrates a significant breakthrough in AI-powered protein structure prediction. The research team developed a novel deep learning model, named AlphaFold 3, which can predict the 3D structures of proteins and their interactions with other molecules like DNA, RNA, and small-molecule drugs with unprecedented accuracy. This advancement is expected to accelerate drug discovery and biological research dramatically. The model’s architecture builds upon previous systems but introduces a diffusion-based approach, similar to those used in AI image generators, to refine its predictions. Initial benchmarks show AlphaFold 3 outperforms all existing specialized tools in predicting protein-ligand and protein-nucleic acid structures. The researchers have made the tool available for non-commercial use through a public web server. For the full details, read the complete article at https://sciencedaily.com/releases/2024/05/240508113108.htm.