Keunwan Park (firstname.lastname@example.org)
Dongsup Kim (email@example.com)
Department of BioSystems, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Korea
As the number of protein sequences with unknown function increases, assigning accurate function to unknown protein becomes increasingly an important issue. Protein function is often encoded in a small number of residues located in binding pocket, and there have been many attempts to predict the function using the binding site. Here, we developed a binding site comparison method which can easily identify spatially matched residues between binding sites. Using clique detection algorithm, the new method finds the matched residues of maximum size, and then these matched residues are scored in a way similar to sequence alignment scoring. In addition, the significance of matched score is estimated from the empirical random score distribution. Results of benchmark test suggest that the method successfully detects functionally related binding sites. Furthermore, conserved residues and subfamily-specific residues in the functional family can be identified. In addition, we investigated systematic relationship between binding sites and functions using the binding site comparison method. Result showed that proteins with similar binding site largely perform similar function.