The database of protein-chemical structural interactions includes all existing 3D structures of complexes of proteins with low molecular weight ligands. When one consideres the proteins and chemical vertices of a graph, all these interactions form a network. Biological networks are powerful tools for predicting undocumented relationships between molecules. The underlying principle is that existing interactions between molecules can be used to predict new interactions. For pairs of proteins sharing a common ligand, we use protein and chemical superimpositions combined with fast structural compatibility screens to predict whether additional compounds bound by one protein would bind the other.

The current version includes data from the Protein Data Bank as of August 2011. The database is updated monthly.

Complexes of human proteins with their ligands, ordered by protein

Complexes of human proteins with their ligands, ordered by ligand

Complexes of human proteins with their ligands, oredered by 3D structure ID

Complexes of mammalian proteins with their ligands, ordered by protein

Complexes of mammalian proteins with their ligands, ordered by ligand

Complexes of mammalian proteins with their ligands, oredered by 3D structure ID

Complexes of all proteins with their ligands, ordered by protein

Complexes of all proteins with their ligands, ordered by ligand

Complexes of all proteins with their ligands, oredered by 3D structure ID