Built for efficiency and scalability, this toolkit implements optimized algorithms for extracting meaningful dense patterns from complex datasets.

This work presents PKR3dC, a deep learning approach for drug-target affinity (DTA) prediction that integrates residue 3D coordinate information from PDB files and known affinity values as prior ...