title: 3D-QSAR with the aid of pharmacophore search and docking-based alignments for farnesyltransferase inhibitors.
abstract: Farnesyltransferase is a potential drug target for treating various types of cancers. Three-dimensional quantitative structure-activity relationships (3D-QSAR) for a series of farnesyltransferase inhibitors were investigated using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) techniques. Pharmacophore search and molecular docking methods were used for construction of the molecular alignments. While the 3D-QSAR models were created for a training set of 33 compounds, their external predictivity was proven using a test set of 12 compounds. The results provided a comprehensive insight into the relationship between the structural features and the activities of farnesyltransferase inhibitors. This investigation will facilitate optimization of the design of new potential farnesyltransferase inhibitors.
authors.affiliation: Pharmaceutical Institute, University of Bonn, An der Immenburg 4, 53121 Bonn, Germany.
authors.forename: Madhura
authors.initials: M
authors.lastname: Vaidya
authors.forename: Mathias
authors.initials: M
authors.lastname: Weigt
authors.forename: Michael
authors.initials: M
authors.lastname: Wiese
mesh_terms: D003198:Computer Simulation; D004791:Enzyme Inhibitors / Q000737:chemistry* / Q000494:pharmacology*; D051231:Farnesyltranstransferase / Q000037:antagonists & inhibitors* / Q000737:chemistry / Q000378:metabolism*; D008956:Models, Chemical; D008958:Models, Molecular; D015394:Molecular Structure; D011485:Protein Binding; D021281:Quantitative Structure-Activity Relationship
chemical_list: D004791:Enzyme Inhibitors; D051231:Farnesyltranstransferase