title: Ligand binding site superposition and comparison based on Atomic Property Fields: identification of distant homologues, convergent evolution and PDB-wide clustering of binding sites.
abstract: A new binding site comparison algorithm using optimal superposition of the continuous pharmacophoric property distributions is reported. The method demonstrates high sensitivity in discovering both, distantly homologous and convergent binding sites. Good quality of superposition is also observed on multiple examples. Using the new approach, a measure of site similarity is derived and applied to clustering of ligand binding pockets in PDB.
authors.affiliation: Molsoft LLC,3366 N Torrey Pines Ct, La Jolla, CA 92037, USA. max@molsoft.com
authors.forename: Maxim
authors.initials: M
authors.lastname: Totrov
mesh_terms: D000465:Algorithms; D001665:Binding Sites; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods; D030562:Databases, Protein; D008024:Ligands; D008958:Models, Molecular; D011506:Proteins / Q000737:chemistry*
chemical_list: D008024:Ligands; D011506:Proteins