Prediction of selectivity of alpha1-adrenergic antagonists by counterpropagation neural network (CP-ANN).

[1]  F. Fanelli,et al.  Phenylpiperazinylalkylamino substituted pyridazinones as potent alpha(1) adrenoceptor antagonists. , 2001, Journal of medicinal chemistry.

[2]  M. Karelson,et al.  Relevance of theoretical molecular descriptors in quantitative structure-activity relationship analysis of alpha1-adrenergic receptor antagonists. , 1999, Bioorganic & medicinal chemistry.

[3]  D. Manallack,et al.  Neural networks in drug discovery: Have they lived up to their promise? , 1999 .

[4]  A. Minarini,et al.  Search for alpha 1-adrenoceptor subtypes selective antagonists: design, synthesis and biological activity of cystazosin, an alpha 1D-adrenoceptor antagonist. , 1998, Bioorganic & medicinal chemistry letters.

[5]  A. Minarini,et al.  Search for selective antagonists at α1-adrenoreceptors: neutral or negative antagonism? , 1998 .

[6]  M. Cocchi,et al.  Computer modeling of size and shape descriptors of alpha 1-adrenergic receptor antagonists and quantitative structure-affinity/selectivity relationships. , 1998, Methods.

[7]  Marjana Novic,et al.  Quantitative Structure-Activity Relationship of Flavonoid p56lck Protein Tyrosine Kinase Inhibitors. A Neural Network Approach , 1997, J. Chem. Inf. Comput. Sci..

[8]  A. Hancock.  α1 Adrenoceptor subtypes: A synopsis of their pharmacology and molecular biology , 1996 .

[9]  J. Hieble,et al.  Alpha- and beta-adrenoceptors: from the gene to the clinic. 2. Structure-activity relationships and therapeutic applications. , 1995, Journal of medicinal chemistry.

[10]  J. Hieble,et al.  Alpha- and beta-adrenoceptors: from the gene to the clinic. 1. Molecular biology and adrenoceptor subclassification. , 1995, Journal of medicinal chemistry.

[11]  Marina Cocchi,et al.  Theoretical quantitative structure-activity relationship analysis of congeneric and non-congeneric α1-adrenoceptor antagonists: a chemometric study , 1995 .

[12]  T. A. Andrea,et al.  Applications of neural networks in quantitative structure-activity relationships of dihydrofolate reductase inhibitors. , 1991, Journal of medicinal chemistry.

[13]  H Ichikawa,et al.  Neural networks applied to quantitative structure-activity relationship analysis. , 1990, Journal of medicinal chemistry.

[14]  Brian F. Yates,et al.  Ligand design for α1 adrenoceptor subtype selective antagonists , 2000 .

[15]  Johann Gasteiger,et al.  Neural networks in chemistry and drug design , 1999 .

[16]  Marina Cocchi,et al.  QSAR Analysis in 2,4-Diamino-6,7-dimethoxy Quinoline Derivatives – α1-Adrenoceptor Antagonists – Using the Partial Least Squares (PLS) Method and Theoretical Molecular Descriptors , 1990 .

[17]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory, Third Edition , 1989, Springer Series in Information Sciences.

[18]  Robert Hecht-Nielsen,et al.  Applications of counterpropagation networks , 1988, Neural Networks.