title: A simple and fuzzy method to align and compare druggable ligand-binding sites.
abstract: A novel method to measure distances between druggable protein cavities is presented. Starting from user-defined ligand binding sites, eight topological and physicochemical properties are projected from cavity-lining protein residues to an 80 triangle-discretised sphere placed at the centre of the binding site, thus defining a cavity fingerprint. Representing binding site properties onto a discretised sphere presents many advantages: (i) a normalised distance between binding sites of different sizes may be easily derived by summing up the normalised differences between the 8 computed descriptors; (ii) a structural alignment of two proteins is simply done by systematically rotating/translating one mobile sphere around one immobile reference; (iii) a certain degree of fuzziness in the comparison is reached by projecting global amino acid properties (e.g., charge, size, functional groups count, distance to the site centre) independently of local rotameric/tautomeric states of cavity-lining residues. The method was implemented in a new program (SiteAlign) and tested in a number of various scenarios: measuring the distance between 376 related active site pairs, computing the cross-similarity of members of a protein family, predicting the targets of ligands with various promiscuity levels. The proposed method is robust enough to detect local similarity among active sites of different sizes, to discriminate between protein subfamilies and to recover the known targets of promiscuous ligands by virtual screening.
authors.affiliation: Bioinformatics of the Drug, Institut Gilbert Laustriat, CNRS UMR 7175-LC1, 74 route du Rhin, F-67400 Illkirch.
authors.forename: Claire
authors.initials: C
authors.lastname: Schalon
authors.forename: Jean-Sébastien
authors.initials: JS
authors.lastname: Surgand
authors.forename: Esther
authors.initials: E
authors.lastname: Kellenberger
authors.forename: Didier
authors.initials: D
authors.lastname: Rognan
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D001665:Binding Sites / Q000187:drug effects; D015195:Drug Design; D006860:Hydrogen Bonding; D008024:Ligands; D011485:Protein Binding; D016415:Sequence Alignment; D013329:Structure-Activity Relationship
chemical_list: D008024:Ligands