Optimal descriptor as a translator of eclectic data into prediction of cytotoxicity for metal oxide nanoparticles under different conditions

Ecotoxicology and Environmental Safety

Volumn 112, Issue , 2015, Pages 39-45

  Toropova, Alla P ^a   Toropov, Andrey A ^a   Rallo, Robert ^b   Leszczynska, Danuta ^c   Leszczynski, Jerzy ^d  

^a MARIO NEGRI INSTITUTE FOR PHARMACOLOGICAL RESEARCH   (Italy)

^b UNIVERSITAT ROVIRA I VIRGILI   (Spain)

^c Interdisciplinary Nanotoxicity Center Department of Civil and Environmental Engineering Jackson State University ^*  (United States)

^d JACKSON STATE UNIVERSITY   (United States)

Author keywords

Cytotoxicity; Metal oxide nanoparticle; Monte Carlo method; QSAR; Quasi QSAR, Nano QSAR; Quasi SMILES

Indexed keywords

METAL OXIDE NANOPARTICLE; NANOPARTICLE; UNCLASSIFIED DRUG; METAL NANOPARTICLE; OXIDE; POLLUTANT;

BACTERIUM; METAL; MONTE CARLO ANALYSIS; OXIDE; REGRESSION ANALYSIS; TOXICITY;

ANALYTIC METHOD; ARTICLE; BACTERIAL MEMBRANE; CALIBRATION; CONCENTRATION (PARAMETERS); CYTOTOXICITY; LC50; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MONTE CARLO METHOD; NONHUMAN; PHYSICAL CHEMISTRY; PREDICTION; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SIMPLIFIED MOLECULAR INPUT LINE ENTRY SYSTEM; VALIDATION STUDY; DRUG EFFECTS; ESCHERICHIA COLI; LIGHT; POLLUTANT; THEORETICAL MODEL; TOXICITY;

CALIBRATION; ENVIRONMENTAL POLLUTANTS; ESCHERICHIA COLI; LIGHT; METAL NANOPARTICLES; MODELS, THEORETICAL; MONTE CARLO METHOD; OXIDES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84909979851     PISSN: 01476513     EISSN: 10902414     Source Type: Journal    
DOI: 10.1016/j.ecoenv.2014.10.003     Document Type: Article

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