Prediction of the baseline toxicity of non-polar narcotic chemical mixtures by QSAR approach

Chemosphere

Volumn 90, Issue 6, 2013, Pages 1980-1986

  Luan, Feng ^a   Xu, Xuan ^a   Liu, Huitao ^a   Cordeiro, Maria Natália Dias Soeiro ^b  

^a YANTAI UNIVERSITY   (China)

^b UNIVERSITY OF PORTO   (Portugal)

Author keywords

Mixture toxicity; Multiple linear regression method (MLR); Non polar narcotic chemical; Quantitative structure activity relationships; Radial basis function neural network (RBFNN)

Indexed keywords

COMPUTATIONAL CHEMISTRY; DYES; FUNCTIONS; LINEAR REGRESSION; MIXTURES; MOLECULAR GRAPHICS; MOLECULAR ORBITALS; TOXICITY;

MIXTURE TOXICITY; MULTIPLE LINEAR REGRESSION METHOD; NON-POLAR; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; RADIAL BASIS FUNCTION NEURAL NETWORKS;

RADIAL BASIS FUNCTION NETWORKS;

NARCOTIC AGENT;

ARTIFICIAL NEURAL NETWORK; BASELINE CONDITIONS; CORRELATION; PREDICTION; QUANTITATIVE ANALYSIS; REGRESSION ANALYSIS; TOXICITY;

ARTICLE; MEASUREMENT; MULTIPLE LINEAR REGRESSION ANALYSIS; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RADIAL BASED FUNCTION;

EID: 84872679465     PISSN: 00456535     EISSN: 18791298     Source Type: Journal    
DOI: 10.1016/j.chemosphere.2012.10.065     Document Type: Article

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