title: QSAR modeling of matrix metalloproteinase inhibition by N-hydroxy-alpha-phenylsulfonylacetamide derivatives.
abstract: The main molecular features which determine the selectivity of a set of 80 N-hydroxy-alpha-phenylsulfonylacetamide derivatives (HPSAs) in the inhibition of three matrix metalloproteinases (MMP-1, MMP-9, and MMP-13) have been identified by using linear and nonlinear predictive models. The molecular information has been encoded in 2D autocorrelation descriptors, obtained from different weighting schemes. The linear models were built by multiple linear regression (MLR) combined with genetic algorithm (GA), and a robust QSAR mapping paradigm. The Bayesian-regularized genetic neural network (BRGNN) was employed for nonlinear modeling. In such approaches each model could have its own set of input variables. All models were predictive according to internal and external validation experiments; but the best results correspond to nonlinear ones. The 2D autocorrelation space brings different descriptors for each MMP inhibition, and suggests the atomic properties relevant for the inhibitors to interact with each MMP active site. On the basis of the current results, the reported models have the potential to discover new potent and selective inhibitors and bring useful molecular information about the ligand specificity for MMP S(1)(') and S(2)(') subsites.
authors.affiliation: Molecular Modeling Group, Center for Biotechnological Studies, University of Matanzas, Matanzas, Cuba.
authors.forename: Michael
authors.initials: M
authors.lastname: Fernández
authors.forename: Julio
authors.initials: J
authors.lastname: Caballero
mesh_terms: D000081:Acetamides / Q000138:chemical synthesis / Q000737:chemistry / Q000494:pharmacology*; D000465:Algorithms; D001499:Bayes Theorem; D003198:Computer Simulation; D008024:Ligands; D016014:Linear Models; D061965:Matrix Metalloproteinase Inhibitors; D008954:Models, Biological; D008958:Models, Molecular; D015394:Molecular Structure; D016571:Neural Networks, Computer; D011480:Protease Inhibitors / Q000138:chemical synthesis / Q000737:chemistry / Q000494:pharmacology*; D021281:Quantitative Structure-Activity Relationship; D013463:Sulfuric Acid Esters / Q000737:chemistry
chemical_list: D000081:Acetamides; D008024:Ligands; D061965:Matrix Metalloproteinase Inhibitors; D011480:Protease Inhibitors; D013463:Sulfuric Acid Esters; C025208:phenylsulfate