Researchers have been exploring ways to apply deep learning techniques to protein structures, which are complex molecules essential for life. A recent post on the Hugging Face blog discusses how these methods can be used to predict protein-ligand binding affinities and understand protein folding mechanisms. This involves training neural networks on large datasets of protein sequences and structures. --- Why it matters: This matters because understanding protein behavior is crucial in fields like medicine, where it could lead to breakthroughs in drug development and disease treatment. Source: https://huggingface.co/blog/deep-learning-with-proteins