title: PDB-scale analysis of known and putative ligand-binding sites with structural sketches.
abstract: Computational investigation of protein functions is one of the most urgent and demanding tasks in the field of structural bioinformatics. Exhaustive pairwise comparison of known and putative ligand-binding sites, across protein families and folds, is essential in elucidating the biological functions and evolutionary relationships of proteins. Given the vast amounts of data available now, existing 3D structural comparison methods are not adequate due to their computation time complexity. In this article, we propose a new bit string representation of binding sites called structural sketches, which is obtained by random projections of triplet descriptors. It allows us to use ultra-fast all-pair similarity search methods for strings with strictly controlled error rates. Exhaustive comparison of 1.2 million known and putative binding sites finished in ∼30 h on a single core to yield 88 million similar binding site pairs. Careful investigation of 3.5 million pairs verified by TM-align revealed several notable analogous sites across distinct protein families or folds. In particular, we succeeded in finding highly plausible functions of several pockets via strong structural analogies. These results indicate that our method is a promising tool for functional annotation of binding sites derived from structural genomics projects.
authors: Department of Computational Biology, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba 277-8568, Japan.
authors: Jun-Ichi
authors: J
authors: Ito
authors: Yasuo
authors: Y
authors: Tabei
authors: Kana
authors: K
authors: Shimizu
authors: Kentaro
authors: K
authors: Tomii
authors: Koji
authors: K
authors: Tsuda
mesh_terms: D000465:Algorithms; D001665:Binding Sites; D030562:Databases, Protein; D008024:Ligands; D008958:Models, Molecular; D011506:Proteins / Q000737:chemistry*; D040901:Proteomics / Q000379:methods*
chemical_list: D008024:Ligands; D011506:Proteins