A new study published in Nature reveals that artificial intelligence models can now predict protein folding with near-experimental accuracy, a breakthrough with significant implications for drug discovery and disease understanding. The system, developed by researchers at DeepMind, outperformed all other methods in a recent international competition. This advancement could dramatically accelerate the process of designing new enzymes and therapeutics by providing highly accurate structural models of proteins, which are fundamental to biological functions. The researchers emphasize that while the tool is powerful, experimental validation remains crucial for real-world applications. Read the full article at https://example.com/full-article.