Exploring quantitative nanostructure-activity relationships (QNAR) modeling as a tool for predicting biological effects of manufactured nanoparticles

Combinatorial Chemistry and High Throughput Screening

Volumn 14, Issue 3, 2011, Pages 217-225

  Fourches, Denis ^a   Pu, Dongqiuye ^a   Tropsha, Alexander ^a  

^a University of North Carolina   (United States)

Author keywords

Cheminformatics; Manufactured nanoparticles; Modelingvirtual screening; Nanotoxicity; QSAR

Indexed keywords

CARBON NANOTUBE; IRON OXIDE; NANOPARTICLE; POLYMER; QUANTUM DOT;

ARTICLE; CANCER CELL; COMBINATORIAL CHEMISTRY; MOLECULAR MODEL; NANOTOXICOLOGY; PRIORITY JOURNAL; QUANTITATIVE NANOSTRUCTURE ACTIVITY RELATION; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SURFACE PROPERTY; SYNTHESIS;

BIOLOGICAL ASSAY; CELL LINE, TUMOR; COMBINATORIAL CHEMISTRY TECHNIQUES; COMPUTER SIMULATION; HUMANS; NANOSTRUCTURES; NANOTECHNOLOGY; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 79952333743     PISSN: 13862073     EISSN: None     Source Type: Journal    
DOI: 10.2174/138620711794728743     Document Type: Article

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