ProtHub integrates proteomic data, including protein domains and secondary structures, to identify and evaluate potential hit candidates efficiently. It provides comprehensive search and analysis functionalities for researchers exploring protein-ligand interactions in drug discovery.

CYP-MAP is a computational model that employs multi-level Graph Neural Networks integrated with an extensive CYP-mediated metabolism database to accurately predict the Sites of Metabolism (SoMs) for small molecules. This approach facilitates enhanced understanding and optimization of drug metabolism, thereby improving drug efficacy and safety in pharmaceutical research.

CHIMIMO is an interactive online platform that maps chemical compounds based on structural similarity using t-SNE visualization. By inputting SMILES notations, users can intuitively explore compound similarities, facilitating the discovery and analysis of chemically related molecules.