BioEmu, developed by Microsoft, is a deep learning model for simulating the equilibrium ensembles of proteins. This technology uses a generative deep learning approach to efficiently generate protein structure samples, helping researchers better understand the dynamic behavior and structural diversity of proteins. The key advantages of this model are its scalability and efficiency, allowing it to handle complex biomolecular systems. It is suitable for research in areas such as biochemistry, structural biology, and drug design, providing scientists with a powerful tool for exploring the dynamic properties of proteins.