SCOPUS 정보 검색 플랫폼

Volumn 6, Issue 22, 2014, Pages 13986-13993

From basic physics to mechanisms of toxicity: The "liquid drop" approach applied to develop predictive classification models for toxicity of metal oxide nanoparticles

(6) Sizochenko, Natalia a,b Rasulev, Bakhtiyor b Gajewicz, Agnieszka c Kuz'Min, Victor a,d Puzyn, Tomasz c Leszczynski, Jerzy b

a ODESSA NATIONAL UNIVERSITY (Ukraine)

b JACKSON STATE UNIVERSITY (United States)

c UNIVERSITY OF GDA SK (Poland)

d A V BOGATSKY PHYSICO CHEMICAL INSTITUTE (Ukraine)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL BONDS; COMPUTATIONAL CHEMISTRY; DROPS; ELECTRONEGATIVITY; ESCHERICHIA COLI; LIGANDS; LIQUIDS; MATHEMATICAL MODELS; METALLIC COMPOUNDS; METALS; MOLECULAR GRAPHICS; NANOPARTICLES; TOXICITY; VAN DER WAALS FORCES;

CLASSIFICATION MODELS; COMPARATIVE ANALYSIS; DIFFERENT MECHANISMS; LEVEL OF CONTRIBUTIONS; METAL OXIDE NANOPARTICLES; STRUCTURE ACTIVITY RELATIONSHIPS; SUPRAMOLECULAR STRUCTURE; VAN DER WAALS INTERACTIONS;

METAL NANOPARTICLES;

METAL NANOPARTICLE; OXIDE;

BIOLOGY; CELL CULTURE; CHEMICAL MODEL; CHEMISTRY; CLASSIFICATION; DEVICES; ESCHERICHIA COLI; HUMAN; MATERIALS TESTING; MICROBIOLOGICAL EXAMINATION; PROCEDURES; QUANTITATIVE STRUCTURE ACTIVITY RELATION; TOXICITY TESTING;

CELLS, CULTURED; COMPUTATIONAL BIOLOGY; ESCHERICHIA COLI; HUMANS; MATERIALS TESTING; METAL NANOPARTICLES; MICROBIOLOGICAL TECHNIQUES; MODELS, CHEMICAL; OXIDES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; TOXICITY TESTS;

EID: 84911447644 PISSN: 20403364 EISSN: 20403372 Source Type: Journal
DOI: 10.1039/c4nr03487b Document Type: Article

Times cited : (91)

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