Q-SITE is an algorithm for biological unit-based ligand-binding site prediction using templates from BioLiP2. It first recognizes ligand-binding templates from BioLiP2 based on the alignment of both global structure and binding-specific substructures. The binding information from the detected templates is then transferred to the query structure based on the alignment. Benchmark tests show that Q-SITE is about 40 times faster and 6.5% more accurate than COACH-D . Sequence input is not accepted currently, due to the difficulty of protein-protein complex structure prediction. Both monomer structures and biological unit structures are supported. Read more about Q-SITE...
The major results returned include (click here for an example):