DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction
ABSTRACT Protein–nucleic acid interactions play central roles in gene regulation and cellular function, and extensive efforts have been devoted to predicting nucleic acid binding sites from protein structures. However, protein–nucleic acid recognition is inherently dynamic, whereas most existing computational approache...