Research on prediction methods of protein-protein and protein-nucleic acid hot residues

Protein-protein interactions and protein-nucleic acid interactions are essential to regulate many cellular processes and mediate various biological functions.
Protein-protein and protein-nucleic acid binding hotspots are a small cluster of residues in the interface that have a significant contribution to the free energy of binding. As the main contributor to the free energy of protein-protein and protein-nucleic acid interaction, hotspot residues can help understand the interaction mechanism and provide guidance for drug design. Therefore, accurately and quickly predicting the binding hotspots between proteins and between proteins and nucleic acids is essential for understanding the mechanism of disease and guiding reasonable treatment. As experimental technology prediction methods are time-consuming, laborious and costly, effective computational prediction methods have attracted wide attention from researchers. My research is dedicated to the development of a more accurate, simple and rapid calculating method for predicting binding sites.