Cytotoxicity estimation of ionic liquids based on their effective structural features

Chemosphere

Volumn 84, Issue 5, 2011, Pages 553-563

  Fatemi, Mohammad H ^a   Izadiyan, Parisa ^a  

^a UNIVERSITY OF MAZANDARAN   (Iran)

Author keywords

ANN; Cluster analysis; Cytotoxicity; ILs; QSTR

Indexed keywords

CELL CULTURE; CLUSTER ANALYSIS; GENETIC ALGORITHMS; IONIC LIQUIDS; MULTILAYER NEURAL NETWORKS;

BIOLOGICAL EFFECTS; LINEAR AND NONLINEAR MODELS; MULTILAYER PERCEPTRON NEURAL NETWORKS; MULTIPLE LINEAR REGRESSIONS; QSTR; QUANTITATIVE STRUCTURES; STRUCTURAL INFORMATION; STRUCTURAL PARAMETER;

CYTOTOXICITY;

AMMONIA; IMIDAZOLIUM; IONIC LIQUID; MORPHOLINIUM; PHOSPHANIUM; PIPERIDINIUM; PYRIDINIUM DERIVATIVE; PYRROLIDINIUM; QUINOLINIUM; UNCLASSIFIED DRUG;

AMMONIUM; ANION; ARTIFICIAL NEURAL NETWORK; CATION; CLUSTER ANALYSIS; GENETIC ALGORITHM; MODEL VALIDATION; MULTIPLE REGRESSION; ORGANIC COMPOUND; RELIABILITY ANALYSIS; RODENT; SALT; TOXICITY TEST;

ARTICLE; CHEMICAL STRUCTURE; CYTOTOXICITY; EXTERNAL VALIDITY; GENETIC ALGORITHM; INTERNAL VALIDITY; NONHUMAN; QUANTITATIVE STRUCTURE TOXICITY RELATIONSHIP; RAT; RELIABILITY;

RATTUS;

EID: 79959554903     PISSN: 00456535     EISSN: 18791298     Source Type: Journal    
DOI: 10.1016/j.chemosphere.2011.04.021     Document Type: Article

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