仕卓 张

Protein-protein and protein-nucleic acid binding site prediction via interpretable hierarchical geometric deep learning

GraphRBF is a state-of-the-art protein-protein/nucleic acid interaction site prediction model built by enhanced graph neural networks and prioritized radial basis function neural networks. This project serves users to use our software to directly predict protein binding sites or train our model on a new database. Identification of protein-protein and protein-nucleic acid binding sites provides insights into biological processes related to protein functions and technical guidance for disease ...