Quantitative Series Enrichment Analysis (QSEA): a novel procedure for 3D-QSAR analysis
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[1] J. Hulten,et al. Synthesis and comparative molecular field analysis (CoMFA) of symmetric and nonsymmetric cyclic sulfamide HIV-1 protease inhibitors. , 2001, Journal of medicinal chemistry.
[2] V. Kulkarni,et al. Three-dimensional quantitative structure-activity relationship of interleukin 1-beta converting enzyme inhibitors: A comparative molecular field analysis study. , 1999, Journal of medicinal chemistry.
[3] D. E. Nichols,et al. Quantitative structure-activity relationship modeling of dopamine D(1) antagonists using comparative molecular field analysis, genetic algorithms-partial least-squares, and K nearest neighbor methods. , 1999, Journal of medicinal chemistry.
[4] Jana Sopkova-de Oliveira Santos,et al. Association of Two 3D QSAR Analyses. Application to the Study of Partial Agonist Serotonin-3 Ligands , 2001, J. Chem. Inf. Comput. Sci..
[5] P J Goodford,et al. Physicochemical-activity relationship in practice. 2. Rational selection of benzenoid substituents. , 1975, Journal of medicinal chemistry.
[6] Peter C. Jurs,et al. Development of Quantitative Structure-Activity Relationship and Classification Models for a Set of Carbonic Anhydrase Inhibitors , 2002, J. Chem. Inf. Comput. Sci..
[7] Keith Abe,et al. Identification of orally active, potent, and selective 4-piperazinylquinazolines as antagonists of the platelet-derived growth factor receptor tyrosine kinase family. , 2002, Journal of medicinal chemistry.
[8] Yu Chen,et al. Evaluation of Quantitative Structure-Activity Relationship Methods for Large-Scale Prediction of Chemicals Binding to the Estrogen Receptor , 1998, J. Chem. Inf. Comput. Sci..
[9] G Klebe,et al. Three-dimensional quantitative structure-activity relationship analyses using comparative molecular field analysis and comparative molecular similarity indices analysis to elucidate selectivity differences of inhibitors binding to trypsin, thrombin, and factor Xa. , 1999, Journal of medicinal chemistry.
[10] Alan B. Forsythe,et al. Strategy in drug design. Cluster anlysis as an aid in the selection of substituents , 1973 .
[11] Hans-Dieter Höltje,et al. A molecular graphics study on structure-action relationships of calcium-antagonistic and agonistic 1,4-dihydropyridines , 1987, J. Comput. Aided Mol. Des..
[12] P. Khadikar,et al. Topological designing of 4-piperazinylquinazolines as antagonists of PDGFR tyrosine kinase family. , 2003, Bioorganic & medicinal chemistry letters.
[13] C. Supuran,et al. Carbonic anhydrase inhibitors: perfluoroalkyl/aryl-substituted derivatives of aromatic/heterocyclic sulfonamides as topical intraocular pressure-lowering agents with prolonged duration of action. , 2000, Journal of medicinal chemistry.
[14] Bernd Wendt,et al. Pushing the boundaries of 3D-QSAR , 2007, J. Comput. Aided Mol. Des..
[15] G. Pei,et al. 3D-QSAR model of flavonoids binding at benzodiazepine site in GABAA receptors. , 2001, Journal of medicinal chemistry.
[16] D. Livingstone,et al. Structure-activity relationships of antifilarial antimycin analogues: a multivariate pattern recognition study. , 1990, Journal of medicinal chemistry.
[17] N. Stiefl,et al. Mapping property distributions of molecular surfaces: algorithm and evaluation of a novel 3D quantitative structure-activity relationship technique. , 2003, Journal of medicinal chemistry.
[18] L. Hall,et al. Molecular connectivity in chemistry and drug research , 1976 .
[19] J. Linden,et al. Design, synthesis, and evaluation of novel A2A adenosine receptor agonists. , 2001, Journal of medicinal chemistry.
[20] W. Richards,et al. Self-organizing molecular field analysis: a tool for structure-activity studies. , 1999, Journal of medicinal chemistry.
[21] M Karplus,et al. Evolutionary optimization in quantitative structure-activity relationship: an application of genetic neural networks. , 1996, Journal of medicinal chemistry.
[22] B Testa,et al. Inhibition of monoamine oxidases by functionalized coumarin derivatives: biological activities, QSARs, and 3D-QSARs. , 2000, Journal of medicinal chemistry.
[23] Supa Hannongbua,et al. 3D-Quantitative Structure-Activity Relationships of HEPT Derivatives as HIV-1 Reverse Transcriptase Inhibitors, Based on Ab Initio Calculations , 2001, J. Chem. Inf. Comput. Sci..
[24] Robert J. Jilek,et al. Topomers: A Validated Protocol for Their Self-Consistent Generation , 2004, J. Chem. Inf. Model..
[25] Angelo Carotti,et al. QSAR and QSPR Studies of a Highly Structured Physicochemical Domain , 2006, J. Chem. Inf. Model..
[26] H. Kubinyi. Variable Selection in QSAR Studies. II. A Highly Efficient Combination of Systematic Search and Evolution , 1994 .
[27] Rajarshi Guha,et al. Development of Linear, Ensemble, and Nonlinear Models for the Prediction and Interpretation of the Biological Activity of a Set of PDGFR Inhibitors , 2004, J. Chem. Inf. Model..
[28] Anton J. Hopfinger,et al. Application of Genetic Function Approximation to Quantitative Structure-Activity Relationships and Quantitative Structure-Property Relationships , 1994, J. Chem. Inf. Comput. Sci..
[29] Robert J. Jilek,et al. "Lead hopping". Validation of topomer similarity as a superior predictor of similar biological activities. , 2004, Journal of medicinal chemistry.
[30] Alexander Tropsha,et al. Application of validated QSAR models of D1 dopaminergic antagonists for database mining. , 2005, Journal of medicinal chemistry.
[31] Glen Eugene Kellogg,et al. HINT: A new method of empirical hydrophobic field calculation for CoMFA , 1991, J. Comput. Aided Mol. Des..
[32] I V Tetko,et al. Volume learning algorithm artificial neural networks for 3D QSAR studies. , 2001, Journal of medicinal chemistry.
[33] G. Klebe,et al. Molecular similarity indices in a comparative analysis (CoMSIA) of drug molecules to correlate and predict their biological activity. , 1994, Journal of medicinal chemistry.
[34] R. Cramer,et al. Topomer CoMFA: a design methodology for rapid lead optimization. , 2003, Journal of medicinal chemistry.
[35] Robert D Clark,et al. Bioisosterism as a molecular diversity descriptor: steric fields of single "topomeric" conformers. , 1996, Journal of medicinal chemistry.
[36] Yvonne C. Martin,et al. A fast new approach to pharmacophore mapping and its application to dopaminergic and benzodiazepine agonists , 1993, J. Comput. Aided Mol. Des..
[37] Hxugo Kubiny. Variable Selection in QSAR Studies. I. An Evolutionary Algorithm , 1994 .
[38] Robert D Clark,et al. Neighborhood behavior: a useful concept for validation of "molecular diversity" descriptors. , 1996, Journal of medicinal chemistry.
[39] R. Cramer,et al. Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins. , 1988, Journal of the American Chemical Society.
[40] A. N. Jain,et al. Compass: predicting biological activities from molecular surface properties. Performance comparisons on a steroid benchmark. , 1994, Journal of medicinal chemistry.
[41] Wesley Schaal,et al. Improved CoMFA Modeling by Optimization of Settings , 2006, J. Chem. Inf. Model..
[42] Svante Wold,et al. Pattern recognition by means of disjoint principal components models , 1976, Pattern Recognit..
[43] Stefan H. Unger,et al. Model building in structure-activity relations. Reexamination of adrenergic blocking activity of .beta.-halo-.beta.-arylalkylamines , 1973 .
[44] Garland R. Marshall,et al. 3D-QSAR of angiotensin-converting enzyme and thermolysin inhibitors: A comparison of CoMFA models based on deduced and experimentally determined active site geometries , 1993 .
[45] Richard A. Lewis. A general method for exploiting QSAR models in lead optimization. , 2005, Journal of medicinal chemistry.
[46] H. Lanig,et al. Comparative molecular field analysis of dopamine D4 receptor antagonists including 3-[4-(4-chlorophenyl)piperazin-1-ylmethyl]pyrazolo[1,5-a]pyridine (FAUC 113), 3-[4-(4-chlorophenyl)piperazin-1-ylmethyl]-1H-pyrrolo-[2,3-b]pyridine (L-745,870), and clozapine. , 2001, Journal of medicinal chemistry.
[47] Wolfgang Sippl,et al. Structure-based 3D QSAR and design of novel acetylcholinesterase inhibitors , 2001, J. Comput. Aided Mol. Des..