Prediction of aqueous solubility and partition coefficient optimized by a genetic algorithm based descriptor selection method

Journal of Chemical Information and Computer Sciences

Volumn 43, Issue 3, 2003, Pages 1077-1084

  Wegner, Jörg K ^a   Zell, Andreas ^a  

^a UNIVERSITY OF TÜBINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AQUEOUS SOLUBILITY;

ENTROPY; GENETIC ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; SOLUTIONS;

SOLUBILITY;

OCTANOL; ORGANIC COMPOUND; WATER;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; CHEMICAL MODEL; CHEMISTRY; COMPARATIVE STUDY; ENTROPY; FACTUAL DATABASE; REGRESSION ANALYSIS; SOLUBILITY;

ALGORITHMS; DATABASES, FACTUAL; ENTROPY; MODELS, CHEMICAL; MODELS, GENETIC; NEURAL NETWORKS (COMPUTER); OCTANOLS; ORGANIC CHEMICALS; REGRESSION ANALYSIS; SOLUBILITY; WATER;

EID: 0037498037     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci034006u     Document Type: Article

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