Molecules and meaning: How do molecules become biochemical signals?
Testa, B.; Kier, L. B.; Bojarski, A. J. Molecules and meaning: How do molecules become biochemical signals? SEED Electron. J. 2002, 2, 84-101. www.library.utoronto.ca/see/pages/SEED_Journal.html
The solute-solvent system: Solvent constraints on the conformational dynamics of acetylcholine
(a) Vistoli, G.; Pedretti, A.; Villa, L.; Testa, B. The solute-solvent system: Solvent constraints on the conformational dynamics of acetylcholine. J. Am. Chem. Soc. 2002, 124, 7472-7480.
Solvent constraints on the property space of acetylcholine. I. Isotropic solvents
(b) Vistoli, G.; Pedretti, A.; Villa, L.; Testa, B. Solvent constraints on the property space of acetylcholine. I. Isotropic solvents. J. Med. Chem. 2005, 48, 1759-1767.
Knowledge-based approaches in the design and selection of compound libraries for drug discovery
Viswanadhan, V. N.; Balan, C.; Hulme, C.; Cheetham, J. C.; Sun, Y. X.; Knowledge-based approaches in the design and selection of compound libraries for drug discovery. Curr. Opin. Drug Discuss. Design 2002, 5, 400-406.
High-throughput and in silico techniques in drug metabolism and pharmacokinetics
van de Waterbeemd, H.; High-throughput and in silico techniques in drug metabolism and pharmacokinetics, Curr. Opin. Drug Discuss. Design 2002, 5, 33-43.
Development of a virtual screening method for identification of "frequent hitters" in compound libraries
Roche, O.; Schneider, P.; Zuegge, J.; Guba, W.; Kansy, M.; Alanine, A.; Bleicher, K.; Danel, F.; Gutknecht, E. M.; Rogers-Evans, M.; Neidhart, W.; Stalder, H.; Dillon, M.; Sjogren, E.; Fotouhi, N.; Gillespie, P.; Goodnow, R.; Harris, W.; Jones, P.; Taniguchi, M.; Tsujii, S.; von der Saal, W.; Zimmermann, G.; Schneider, G. Development of a virtual screening method for identification of "frequent hitters" in compound libraries. J. Med. Chem. 2002, 45, 137-142.
Property distributions: Differences between drugs, natural products, and molecules from combinatorial chemistry
Feher, M.; Schmidt, J. M. Property distributions: Differences between drugs, natural products, and molecules from combinatorial chemistry. J. Chem. Inf. Comput. Sci. 2003, 43, 218-227.
Ligand design for alpha(l) adrenoceptor subtype selective antagonists
Bremner, J. B.; Coban, B.; Griffith, R.; Groenewoud, K. M.; Yates, B. F. Ligand design for alpha(l) adrenoceptor subtype selective antagonists. Bioorg. Med. Chem. 2000, 8, 201-214.
Alpha(1)-adrenergic receptors and their inhibitors in lower urinary tract symptoms and benign prostatic hyperplasia
Roehrborn, C. G.; Schwinn, D. A. Alpha(1)-adrenergic receptors and their inhibitors in lower urinary tract symptoms and benign prostatic hyperplasia. J. Urol. 2004, 171, 1029-1035.
A(1) Adrenoceptor subtype selectivity-3D-QSAR models for a new class of alpha(1) adrenoceptor antagonists derived from the novel anti-psychotic sertindole
Balle, T.; Andersen, K.; Soby, K. K.; Liljefors, T. A(1) Adrenoceptor subtype selectivity-3D-QSAR models for a new class of alpha(1) adrenoceptor antagonists derived from the novel anti-psychotic sertindole. J. Mol. Graph. Model. 2003, 21, 523-534.
Relevance of theoretical molecular descriptors in quantitative structure-activity relationship analysis of alpha 1-adrenergic receptor antagonists
Menziani, M. C.; Montorsi, M.; De Benedetti, P. G.; Karelson, M. Relevance of theoretical molecular descriptors in quantitative structure-activity relationship analysis of alpha 1-adrenergic receptor antagonists. Bioorgan. Med. Chem. 1999, 7, 2437-2451.
Synthesis, pharmacological evaluation, and structure-activity relationship and quantitative structure-activity relationship studies on novel derivatives of 2,4-diamino-6,7-dimethoxyquinazoline alpha(1)-adrenoceptor antagonists
Leonardi, A.; Motta, G.; Boi, C.; Testa, R.; Poggesi, E.; De Benedetti, P. G.; Menziani, M. C. Synthesis, pharmacological evaluation, and structure-activity relationship and quantitative structure-activity relationship studies on novel derivatives of 2,4-diamino-6,7-dimethoxyquinazoline alpha(1)-adrenoceptor antagonists. J. Med. Chem. 1999, 42, 427-437.
Computer modeling of size and shape descriptors of alpha(1)-adrenergic receptor antagonists and quantitative structure-affinity/selectivity relationships
Montorsi, M.; Menziani, M. C.; Cocchi, M.; Fanelli, F.; De Benedetti, P. G. Computer modeling of size and shape descriptors of alpha(1)-adrenergic receptor antagonists and quantitative structure-affinity/selectivity relationships. Methods: Companion Methods Enzymol. 1998, 14, 239-254.
Synthesis and biological activity of new 1,4-benzodioxanarylpiperazine derivatives. Further validation of a pharmacophore model for alpha(1)-adrenoceptor antagonists
Barbaro, R.; Betti, L.; Botta, M.; Corelli, F.; Giannaccini, G.; Maccari, L.; Manetti, F.; Strappaghetti, G.; Corsano, S. Synthesis and biological activity of new 1,4-benzodioxanarylpiperazine derivatives. Further validation of a pharmacophore model for alpha(1)-adrenoceptor antagonists. Bioorgan. Med. Chem. 2002, 10, 361-369.
Alpha(1)-adrenoceptor antagonists. 4. Pharmacophore-based design, synthesis, and biological evaluation of new imidazo-,benzimidazo-, and indoloarylpiperazine derivatives
Betti, L.; Botta, M.; Corelli, F.; Floridi, M.; Giannaccini, G.; Maccari, L.; Manetti, F.; Strappaghetti, G.; Tafi, A.; Corsano, S. Alpha(1)-adrenoceptor antagonists. 4. Pharmacophore-based design, synthesis, and biological evaluation of new imidazo-,benzimidazo-, and indoloarylpiperazine derivatives. J. Med. Chem. 2002, 45, 3603-3611.
Synthesis and structure-activity relationships of a new model of arylpiperazines. 6. Study of the 5-HT1A/alpha(1)-adrenergic receptor affinity by classical Hansch analysis, artificial neural networks, and computational simulation of ligand recognition
Lopez-Rodriguez, M. L.; Morcillo, M. J.; Fernandez, E.; Rosado, M. L.; Pardo, L.; Schaper, K. J. Synthesis and structure-activity relationships of a new model of arylpiperazines. 6. Study of the 5-HT1A/alpha(1)-adrenergic receptor affinity by classical Hansch analysis, artificial neural networks, and computational simulation of ligand recognition. J. Med. Chem. 2001, 44, 198-207.
Molecular lipophilicity potential, a tool in 3D-QSAMethod, R.; applications
Gaillard, P.; Carrupt, P. A.; Testa, B.; Boudon, A. Molecular lipophilicity potential, a tool in 3D-QSAMethod, R.; applications. J. Comput.-Aided Mol. Design 1994, 8, 83-96.
Molecular properties that influence the oral bioavailability of drug candidates
Veber, D. F. Johnson, S. R.; Cheng, H. Y.; Smith, B. R.; Ward, K. W.; Kopple, K. D. Molecular properties that influence the oral bioavailability of drug candidates. J. Med. Chem. 2002, 45, 2615-2623.
VEGA: A versatile program to convert, handle and visualize molecular structure on Windows-based PCs
Pedretti, A.; Villa, L.; Vistoli, G. VEGA: A versatile program to convert, handle and visualize molecular structure on Windows-based PCs. J. Mol. Graph. 2002, 21, 47-49.