Evaluation of QSAR models for predicting the partition coefficient (log P) of chemicals under the REACH regulation

Environmental Research

Volumn 143, Issue , 2015, Pages 26-32

  Cappelli, Claudia Ileana ^a   Benfenati, Emilio ^a   Cester, Josep ^b  

^a MARIO NEGRI INSTITUTE FOR PHARMACOLOGICAL RESEARCH   (Italy)

^b UNIVERSITAT ROVIRA I VIRGILI   (Spain)

Author keywords

Applicability domain; Log Kow; Log P; QSAR; REACH

Indexed keywords

ORGANIC COMPOUND; DANGEROUS GOODS; OCTANOL; WATER;

CHEMICAL ANALYSIS; EXPERIMENTAL STUDY; PARTITION COEFFICIENT; PHYSICOCHEMICAL PROPERTY; REGRESSION ANALYSIS;

ARTICLE; COMPUTER MODEL; COMPUTER PROGRAM; CONTROLLED STUDY; MOLECULAR WEIGHT; PARTITION COEFFICIENT; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; STATISTICAL PARAMETERS; CHEMICAL DATABASE; CHEMICAL MODEL; CHEMISTRY; DANGEROUS GOODS; EUROPEAN UNION; LEGISLATION AND JURISPRUDENCE; PHYSICAL CHEMISTRY; PROCEDURES; TOXICITY; TOXICITY TESTING;

1-OCTANOL; DATABASES, CHEMICAL; EUROPEAN UNION; HAZARDOUS SUBSTANCES; MODELS, CHEMICAL; PHYSICOCHEMICAL PHENOMENA; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; TOXICITY TESTS; WATER;

EID: 84942766577     PISSN: 00139351     EISSN: 10960953     Source Type: Journal    
DOI: 10.1016/j.envres.2015.09.025     Document Type: Article

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