A new study published in Nature reveals that AI models can now predict protein folding with near-experimental accuracy, a breakthrough with significant implications for drug discovery and disease research. The system, developed by researchers at DeepMind, uses a novel neural network architecture to model protein structures from their amino acid sequences alone. This advancement could dramatically accelerate the development of new therapeutics and our understanding of fundamental biology. The researchers have made their methodology and predictions openly available to the scientific community. Read the full article at https://example.com/article.