Prediction of aqueous solubility of drug-like molecules using a novel algorithm for automatic adjustment of relative importance of descriptors implemented in counter-propagation artificial neural networks

Erić, Slavica; Kalinić, Marko; Popović, Aleksandar; Zloh, Mire; Kuzmanovski, Igor

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eNauka > Results > Prediction of aqueous solubility of drug-like molecules using a novel algorithm for automatic adjustment of relative importance of descriptors implemented in counter-propagation artificial neural networks

Title:	Prediction of aqueous solubility of drug-like molecules using a novel algorithm for automatic adjustment of relative importance of descriptors implemented in counter-propagation artificial neural networks
Authors:	Erić, Slavica ; Kalinić, Marko ; Popović, Aleksandar ; Zloh, Mire ; Kuzmanovski, Igor
Issue Date:	2012
Publication:	International Journal of Pharmaceutics
ISSN:	0378-5173 International Journal of Pharmaceutics Search Idenfier
Publisher:	Elsevier Science BV, Amsterdam
Type:	Article
Collation:	vol. 437 br. 1-2 str. 232-241
DOI:	10.1016/j.ijpharm.2012.08.022
WoS-ID:	000309115300026
Scopus-ID:	2-s2.0-84866731321
PMID:	22940210
URI:	https://farfar.pharmacy.bg.ac.rs/handle/123456789/1644 https://enauka.gov.rs/handle/123456789/444528
Project:	Kompjutersko dizajniranje, sinteza i biološka evaluacija novih heterocikličnih jedinjenja kao selektivnih inhibitora tumorogeneze (RS-172009)
M-category:	21M21

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