Prediction of selectivity of α 1 -adrenergic antagonists by counterpropagation neural network (CP-ANN)
Samo za registrovane korisnike
2004
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
A quantitative structure-selectivity relationships of series of structurally diverse α 1 -adrenergic antagonists was performed by using counter-propagation neural network (CP-ANN). The theoretical molecular descriptors have been calculated and selected using CODESSA program. The results obtained for a highly non-congeneric set of molecules have confirmed the potential of use of CP-ANN approach in prediction of relative activity (selectivity) of α 1 -adrenergic antagonists.
Ključne reči:
Cp-ANN / Molecular descriptors / α 1 -adrenergic antagonistsIzvor:
Farmaco, 2004, 59, 5, 389-395Izdavač:
- Elsevier Masson SAS
Finansiranje / projekti:
- Ministry of Science, Technology and Development of the Republic of Serbia (Project no. 1458 - Molecular structures, chemical transformations, physicochemical characterization, pharmaceutical purity and analysis of pharmacologicaly active compounds).
Institucija/grupa
PharmacyTY - JOUR AU - Erić, Slavica AU - Solmajer, Tom AU - Zupan, Janja AU - Nović, M AU - Oblak, M AU - Agbaba, Danica PY - 2004 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/560 AB - A quantitative structure-selectivity relationships of series of structurally diverse α 1 -adrenergic antagonists was performed by using counter-propagation neural network (CP-ANN). The theoretical molecular descriptors have been calculated and selected using CODESSA program. The results obtained for a highly non-congeneric set of molecules have confirmed the potential of use of CP-ANN approach in prediction of relative activity (selectivity) of α 1 -adrenergic antagonists. PB - Elsevier Masson SAS T2 - Farmaco T1 - Prediction of selectivity of α 1 -adrenergic antagonists by counterpropagation neural network (CP-ANN) VL - 59 IS - 5 SP - 389 EP - 395 DO - 10.1016/j.farmac.2003.12.009 ER -
@article{ author = "Erić, Slavica and Solmajer, Tom and Zupan, Janja and Nović, M and Oblak, M and Agbaba, Danica", year = "2004", abstract = "A quantitative structure-selectivity relationships of series of structurally diverse α 1 -adrenergic antagonists was performed by using counter-propagation neural network (CP-ANN). The theoretical molecular descriptors have been calculated and selected using CODESSA program. The results obtained for a highly non-congeneric set of molecules have confirmed the potential of use of CP-ANN approach in prediction of relative activity (selectivity) of α 1 -adrenergic antagonists.", publisher = "Elsevier Masson SAS", journal = "Farmaco", title = "Prediction of selectivity of α 1 -adrenergic antagonists by counterpropagation neural network (CP-ANN)", volume = "59", number = "5", pages = "389-395", doi = "10.1016/j.farmac.2003.12.009" }
Erić, S., Solmajer, T., Zupan, J., Nović, M., Oblak, M.,& Agbaba, D.. (2004). Prediction of selectivity of α 1 -adrenergic antagonists by counterpropagation neural network (CP-ANN). in Farmaco Elsevier Masson SAS., 59(5), 389-395. https://doi.org/10.1016/j.farmac.2003.12.009
Erić S, Solmajer T, Zupan J, Nović M, Oblak M, Agbaba D. Prediction of selectivity of α 1 -adrenergic antagonists by counterpropagation neural network (CP-ANN). in Farmaco. 2004;59(5):389-395. doi:10.1016/j.farmac.2003.12.009 .
Erić, Slavica, Solmajer, Tom, Zupan, Janja, Nović, M, Oblak, M, Agbaba, Danica, "Prediction of selectivity of α 1 -adrenergic antagonists by counterpropagation neural network (CP-ANN)" in Farmaco, 59, no. 5 (2004):389-395, https://doi.org/10.1016/j.farmac.2003.12.009 . .