Protein Binding Site Prediction

The geometric characteristics of protein-nucleic acid complexes, which are explored using structural models, are crucial for proteins to recognize and bind nucleic acids. However, these features are limited when compared to unbound proteins. PNAbind is a deep learning method that the University of Southern California researchers have developed for predicting protein-nucleic acid (protein-NA) binding based…