Rapid toxicity prediction of organic chemicals to Chlorella vulgaris using quantitative structure-activity relationships methods

Ecotoxicology and Environmental Safety

Volumn 72, Issue 3, 2009, Pages 787-794

  Xia, Binbin ^a   Liu, Kunping ^a   Gong, Zhiguo ^a   Zheng, Bo ^a   Zhang, Xiaoyun ^a   Fan, Botao ^b  

^a LANZHOU UNIVERSITY   (China)

^b UNIVERSITÉ PARIS DESCARTES   (France)

Author keywords

Chlorella vulgaris; Heuristic method; Quantitative structure activity relationships; Radial basis function neural networks; Toxicity

Indexed keywords

ALIPHATIC COMPOUND; AROMATIC COMPOUND; ORGANIC COMPOUND; PESTICIDE;

GREEN ALGA; OPTIMIZATION; ORGANIC COMPOUND; PESTICIDE; TOXICITY TEST;

ALGA; ANIMAL EXPERIMENT; ARTICLE; ARTIFICIAL NEURAL NETWORK; ASSAY; CHEMICAL STRUCTURE; CHLORELLA VULGARIS; CONTROLLED STUDY; ELECTRICITY; HYDROGEN BOND; NONHUMAN; PREDICTION; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RADIAL BASED FUNCTION; STATISTICAL MODEL; STRUCTURE ANALYSIS; SURFACE PROPERTY; TOXICITY;

CHLORELLA VULGARIS; NEURAL NETWORKS (COMPUTER); ORGANIC CHEMICALS; PREDICTIVE VALUE OF TESTS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; TIME FACTORS; TOXICITY TESTS; WATER POLLUTANTS, CHEMICAL;

ALGAE; CHLORELLA VULGARIS;

EID: 59149084082     PISSN: 01476513     EISSN: 10902414     Source Type: Journal    
DOI: 10.1016/j.ecoenv.2008.09.002     Document Type: Article

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