A new study published in Nature reveals that researchers have successfully developed an AI model capable of predicting protein folding with unprecedented accuracy, a breakthrough that could accelerate drug discovery and materials science. The system, named AlphaFold 3, demonstrates a significant leap over previous versions and competing methods by accurately modeling not just proteins but also their interactions with DNA, RNA, and small molecules. This advancement is expected to drastically reduce the time and cost associated with experimental structural biology, opening new avenues for understanding diseases and designing novel therapeutics. The research team has made the underlying code and a public database of predictions freely available to the scientific community. For the complete details and expert commentary, read the full article at https://example.com/alphafold3-breakthrough.