A new study published in Nature reveals that AI models can now predict protein folding with unprecedented accuracy, potentially accelerating drug discovery and materials science. The research team developed a neural network architecture that significantly outperforms previous methods in the Critical Assessment of protein Structure Prediction (CASP) competition. This breakthrough could reduce the time required to understand protein structures from years to days, opening new avenues for treating diseases and engineering biological systems. The findings highlight the rapid convergence of artificial intelligence and biotechnology. Read the full article: https://example.com/ai-protein-folding-breakthrough