Geometric deep learning of protein–DNA binding specificity

DeepPBS is a deep-learning model designed to predict the binding specificity of protein–DNA interactions using physicochemical and geometric contexts. DeepPBS functions across protein families and on experimentally determined as well as predicted protein–DNA complex structures.