QSAR modeling of matrix metalloproteinase inhibition by N-hydroxy-α-phenylsulfonylacetamide derivatives

Bioorganic and Medicinal Chemistry

Volumn 15, Issue 18, 2007, Pages 6298-6310

  Fernández, Michael ^a   Caballero, Julio ^b  

^a UNIVERSITY OF MATANZAS   (Cuba)

^b UNIVERSIDAD DE TALCA   (Chile)

Author keywords

2D autocorrelation space; Bayesian regularized genetic neural networks; MMP inhibitors; QSAR analysis

Indexed keywords

ACETAMIDE DERIVATIVE; COLLAGENASE 3; GELATINASE B; INTERSTITIAL COLLAGENASE; MATRIX METALLOPROTEINASE; MATRIX METALLOPROTEINASE INHIBITOR; N HYDROXY ALPHA PHENYLSULFONYLACETAMIDE DERIVATIVE; UNCLASSIFIED DRUG;

ALGORITHM; ARTICLE; BAYES THEOREM; ENZYME ACTIVE SITE; EXTERNAL VALIDITY; HIGH THROUGHPUT SCREENING; IC 50; INTERNAL VALIDITY; MULTIPLE REGRESSION; NONLINEAR SYSTEM; PREDICTION; PROTEINASE INHIBITION; QUANTITATIVE STRUCTURE ACTIVITY RELATION; STATISTICAL MODEL;

ACETAMIDES; ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; LIGANDS; LINEAR MODELS; MATRIX METALLOPROTEINASES; MODELS, BIOLOGICAL; MODELS, MOLECULAR; MOLECULAR STRUCTURE; NEURAL NETWORKS (COMPUTER); PROTEASE INHIBITORS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SULFURIC ACID ESTERS;

EID: 34547093412     PISSN: 09680896     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bmc.2007.06.014     Document Type: Article

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