Representing local protein environments with atomistic foundation models

Researchers developed a novel method to represent local protein environments using atomistic foundation models (AFMs), creating embeddings that capture both structural and chemical features. The approach enables construction of data-driven priors for biomolecular environments and achieves state-of-the-art accuracy in physics-informed chemical shift prediction for NMR spectroscopy.