Predicting toxic potencies of metal oxide nanoparticles by means of nano-QSARs

Nanotoxicology

Volumn 10, Issue 9, 2016, Pages 1207-1214

  Mu, Yunsong ^a   Wu, Fengchang ^a   Zhao, Qing ^b   Ji, Rong ^c   Qie, Yu ^a   Zhou, Yue ^c   Hu, Yan ^a   Pang, Chengfang ^d   Hristozov, Danail ^d   Giesy, John P ^e   Xing, Baoshan ^f  

^a CHINESE RESEARCH ACADEMY OF ENVIRONMENTAL SCIENCES   (China)

^b INSTITUTE OF APPLIED ECOLOGY   (China)

^c NANJING UNIVERSITY   (China)

^d CA' FOSCARI UNIVERSITY OF VENICE   (Italy)

^e UNIVERSITY OF SASKATCHEWAN   (Canada)

^f UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

Cytotoxicity; in silico modeling; metal oxide nanoparticles; nano QSARs

Indexed keywords

METAL NANOPARTICLE; METAL OXIDE; NANOPARTICLE; OXIDE;

APOPTOSIS; ARTICLE; CYTOTOXICITY; DNA DAMAGE; ENTHALPY; ESCHERICHIA COLI; PHYSICAL CHEMISTRY; POLARIZATION; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RISK FACTOR; TOXICITY TESTING; CHEMISTRY; COMPUTER SIMULATION; DRUG EFFECTS; HUMAN; PREDICTIVE VALUE; THEORETICAL MODEL; TISSUE DISTRIBUTION;

COMPUTER SIMULATION; ESCHERICHIA COLI; HUMANS; METAL NANOPARTICLES; MODELS, THEORETICAL; NANOPARTICLES; OXIDES; PREDICTIVE VALUE OF TESTS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; TISSUE DISTRIBUTION;

EID: 84978081706     PISSN: 17435390     EISSN: 17435404     Source Type: Journal    
DOI: 10.1080/17435390.2016.1202352     Document Type: Article

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