Novel approach for efficient predictions properties of large pool of nanomaterials based on limited set of species: Nano-read-across

Nanotechnology

Volumn 26, Issue 1, 2015, Pages

  Gajewicz, Agnieszka ^a   Cronin, Mark T D ^b   Rasulev, Bakhtiyor ^c   Leszczynski, Jerzy ^c   Puzyn, Tomasz ^a  

^a UNIVERSITY OF GDA SK   (Poland)

^b LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

^c JACKSON STATE UNIVERSITY   (United States)

Author keywords

cytotoxicity; nano QSAR; nano read across; nanoparticles

Indexed keywords

CYTOTOXICITY; MATHEMATICAL MODELS; MOLECULAR GRAPHICS; NANOPARTICLES; NANOSTRUCTURED MATERIALS; QUANTUM THEORY;

COMPUTATIONAL TOOLS; EFFECTIVE SOLUTION; EFFICIENT PREDICTIONS; HAZARD ASSESSMENT; NANO-QSAR; NANO-READ-ACROSS; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; QUANTUM-MECHANICAL CALCULATION;

COMPUTATIONAL CHEMISTRY;

METAL NANOPARTICLE; NANOMATERIAL; OXIDE;

BIOASSAY; CHEMISTRY; CLUSTER ANALYSIS; HUMAN; QUANTITATIVE STRUCTURE ACTIVITY RELATION; THEORETICAL MODEL;

CLUSTER ANALYSIS; ENDPOINT DETERMINATION; HUMANS; METAL NANOPARTICLES; MODELS, THEORETICAL; NANOSTRUCTURES; OXIDES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84916894750     PISSN: 09574484     EISSN: 13616528     Source Type: Journal    
DOI: 10.1088/0957-4484/26/1/015701     Document Type: Article

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