title: Use of 3D QSAR models for database screening: a feasibility study.
abstract: The applicability and scope of 3D QSAR methods (CoMFA, CoMSIA) to screen databases are examined. A protocol requiring minimal user intervention has been established to align training and test set molecules using FlexS. As model system isozymes of human carbonic anhydrase (hCA) are used, all results are exemplified studying affinity toward hCA II and selectivity between hCA I and II. The predictive power of the obtained models is assessed through prediction of 663 compounds not included in the training set and compared to 2D QSAR models derived from fragment (MACCS) or property (VSA) based descriptors. The predictive power is evaluated with respect to the following criteria: the numerical, concerning the absolute accuracy of prediction, and the categorical, characterizing the ability to assign a compound to the correct activity class.
authors.affiliation: Institut für Pharmazeutische Chemie, Philipps-Universität Marburg, Marbacher Weg 6, 35032 Marburg, Germany.
authors.forename: Alexander
authors.initials: A
authors.lastname: Hillebrecht
authors.forename: Gerhard
authors.initials: G
authors.lastname: Klebe
mesh_terms: D001185:Artificial Intelligence; D024401:Carbonic Anhydrase I / Q000378:metabolism; D024402:Carbonic Anhydrase II / Q000378:metabolism*; D002257:Carbonic Anhydrase Inhibitors / Q000737:chemistry; D016208:Databases, Factual; D004353:Drug Evaluation, Preclinical / Q000379:methods*; D005240:Feasibility Studies; D006801:Humans; D007527:Isoenzymes; D011485:Protein Binding; D021281:Quantitative Structure-Activity Relationship
chemical_list: D002257:Carbonic Anhydrase Inhibitors; D007527:Isoenzymes; D024401:Carbonic Anhydrase I; D024402:Carbonic Anhydrase II