• Deep learning has the potential to approximate or model any function, enabling it to interpret various types of data and address a wide range of problems. • The functionalities and properties of molecules, proteins, and genes are primarily dictated by their structures. By accurately identifying these microscopic structures, deep learning can provide insights into the intrinsic properties of the data and address various associated challenges.