Optimal nano-descriptors as translators of eclectic data into prediction of the cell membrane damage by means of nano metal-oxides

Environmental Science and Pollution Research

Volumn 22, Issue 1, 2015, Pages 745-757

  Toropova, Alla P ^a   Toropov, Andrey A ^a   Benfenati, Emilio ^a   Korenstein, Rafi ^b   Leszczynska, Danuta ^c   Leszczynski, Jerzy ^d  

^a MARIO NEGRI INSTITUTE FOR PHARMACOLOGICAL RESEARCH   (Italy)

^b TEL AVIV UNIVERSITY   (Israel)

^c Jackson State University   (United States)

^d JACKSON STATE UNIVERSITY   (United States)

Author keywords

Cellular membrane damage; MonteCarlomethod; Nano metal oxide; Optimalnano descriptor; Quasi QSAR

Indexed keywords

CONCENTRATION (COMPOSITION); DATA SET; METAL; MONTE CARLO ANALYSIS; NANOTECHNOLOGY; POLLUTION EXPOSURE; QUANTITATIVE ANALYSIS;

METAL; NANOMATERIAL; NANOPARTICLE; OXIDE;

CELL MEMBRANE; DRUG EFFECTS; MONTE CARLO METHOD; QUANTITATIVE STRUCTURE ACTIVITY RELATION; THEORETICAL MODEL;

CELL MEMBRANE; METALS; MODELS, THEORETICAL; MONTE CARLO METHOD; NANOPARTICLES; NANOSTRUCTURES; OXIDES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84925729852     PISSN: 09441344     EISSN: 16147499     Source Type: Journal    
DOI: 10.1007/s11356-014-3566-4     Document Type: Article

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