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

International Journal of Pharmaceutics

Volumn 437, Issue 1-2, 2012, Pages 232-241

  Erić, Slavica ^a   Kalinić, Marko ^a   Popović, Aleksandar ^a   Zloh, Mire ^b   Kuzmanovski, Igor ^c  

^a UNIVERSITY OF BELGRADE   (Serbia)

^b UNIVERSITY OF LONDON   (United Kingdom)

^c SS CYRIL AND METHODIUS UNIVERSITY   (Macedonia)

Author keywords

Artificial neural network; Prediction of solubility; Relative importance of descriptors

Indexed keywords

OCTANOL; WATER;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BINDING SITE; CHEMICAL MODIFICATION; CHEMICAL STRUCTURE; GENETIC ALGORITHM; HYDROGEN BOND; LIPOPHILICITY; PARTITION COEFFICIENT; PREDICTION; PRIORITY JOURNAL; SOLUBILITY; STATISTICAL MODEL;

ALGORITHMS; NEURAL NETWORKS (COMPUTER); PHARMACEUTICAL PREPARATIONS; SOLUBILITY;

EID: 84866731321     PISSN: 03785173     EISSN: 18733476     Source Type: Journal    
DOI: 10.1016/j.ijpharm.2012.08.022     Document Type: Article

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