A simple and fuzzy method to align and compare druggable ligand-binding sites Export

@article{citeulike:2211483, 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. Proteins 2008. {\copyright} 2007 Wiley-Liss, Inc.}, address = {Bioinformatics of the Drug, Institut Gilbert Laustriat, CNRS UMR 7175-LC1, 74 route du Rhin, F-67400 Illkirch}, author = {Schalon, Claire and Surgand, Jean-S\'{e}bastien and Kellenberger, Esther and Rognan, Didier}, citeulike-article-id = {2211483}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/prot.21858}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/18175308}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=18175308}, citeulike-linkout-3 = {http://www3.interscience.wiley.com/cgi-bin/abstract/117870730/ABSTRACT}, doi = {10.1002/prot.21858}, journal = {Proteins: Structure, Function, and Bioinformatics}, keywords = {algorithm, binding, bsc, comparison, fingerprint, protein, similarity, site}, number = {9999}, pages = {NA+}, posted-at = {2008-08-27 14:14:35}, priority = {0}, title = {A simple and fuzzy method to align and compare druggable ligand-binding sites}, url = {http://dx.doi.org/10.1002/prot.21858}, volume = {9999}, year = {2007} }

TY - JOUR ID - citeulike:2211483 L3 - citeulike-article-id:2211483 N2 - 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. Proteins 2008. © 2007 Wiley-Liss, Inc. IS - 9999 JF - Proteins: Structure, Function, and Bioinformatics AD - Bioinformatics of the Drug, Institut Gilbert Laustriat, CNRS UMR 7175-LC1, 74 route du Rhin, F-67400 Illkirch TI - A simple and fuzzy method to align and compare druggable ligand-binding sites VL - 9999 SP - NA KW - algorithm KW - binding KW - bsc KW - comparison KW - fingerprint KW - protein KW - similarity KW - site AU - Schalon, Claire AU - Surgand, Jean-Sébastien AU - Kellenberger, Esther AU - Rognan, Didier PY - 2007/// UR - http://dx.doi.org/10.1002/prot.21858 ER -