QSAR modeling with the electrotopological state indices: Predicting the toxicity of organic chemicals

Chemosphere

Volumn 50, Issue 7, 2003, Pages 949-953

  Huuskonen, Jarmo ^a  

^a NONE

Author keywords

Artificial neural networks; Electrotopological indices; Quantitative structure activity relationship; Regression analysis; Toxicity

Indexed keywords

ELECTRIC NETWORK TOPOLOGY; NEURAL NETWORKS; PARAMETER ESTIMATION; REGRESSION ANALYSIS; TOXICITY;

QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP (QSAR);

ORGANIC CHEMICALS;

ORGANIC COMPOUND;

TOXICITY;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; INTERMETHOD COMPARISON; LC 50; MEASUREMENT; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SOLUBILITY; TOXICITY;

PHOXINUS PHOXINUS; PIMEPHALES PROMELAS;

EID: 0037289638     PISSN: 00456535     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0045-6535(02)00172-8     Document Type: Article

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