Optimal descriptor as a translator of eclectic data into endpoint prediction: Mutagenicity of fullerene as a mathematical function of conditions

Chemosphere

Volumn 104, Issue , 2014, Pages 262-264

  Toropov, Andrey A ^a   Toropova, Alla P ^a  

^a MARIO NEGRI INSTITUTE FOR PHARMACOLOGICAL RESEARCH   (Italy)

Author keywords

Bacterial reverse mutation test; Fullerene C60; Optimal descriptor; Quasi QSAR

Indexed keywords

COMPUTATIONAL CHEMISTRY; FULLERENES; MONTE CARLO METHODS;

BACTERIAL REVERSE MUTATION TESTS; ENDPOINT PREDICTION; FULLERENE C60; MATHEMATICAL FUNCTIONS; METABOLIC ACTIVATION; OPTIMAL DESCRIPTOR; QUASI-QSAR; STATISTICAL QUALITY;

FUNCTIONS;

FULLERENE; NANOPARTICLE;

DATA SET; EXPERIMENTAL STUDY; FULLERENE; MATHEMATICAL ANALYSIS; MONTE CARLO ANALYSIS; MUTATION; PARTICULATE MATTER; PREDICTION;

ARTICLE; BACTERIAL MUTATION; DARKNESS; ILLUMINATION; IRRADIATION; MATHEMATICAL MODEL; MONTE CARLO METHOD; MUTAGENICITY; MUTATIONAL ANALYSIS; NONHUMAN; PREDICTION; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REVERTANT; SALMONELLA TYPHIMURIUM;

BACTERIA (MICROORGANISMS);

BACTERIAL REVERSE MUTATION TEST; FULLERENE C60; OPTIMAL DESCRIPTOR; QUASI-QSAR;

CALIBRATION; FULLERENES; LIGHT; MODELS, GENETIC; MONTE CARLO METHOD; MUTAGENS; MUTATION; NANOPARTICLES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SALMONELLA TYPHIMURIUM;

EID: 84900581022     PISSN: 00456535     EISSN: 18791298     Source Type: Journal    
DOI: 10.1016/j.chemosphere.2013.10.079     Document Type: Article

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