Optimal descriptor as a translator of eclectic data into prediction of cytotoxicity for metal oxide nanoparticles under different conditions-Reference-Cited by-同舟云学术

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Optimal descriptor as a translator of eclectic data into prediction of cytotoxicity for metal oxide nanoparticles under different conditions

Published:2015-02 Issue: Volume:112 Page:39-45
ISSN:0147-6513
Container-title:Ecotoxicology and Environmental Safety
language:en
Short-container-title:Ecotoxicology and Environmental Safety

Author:

Toropova Alla P.,Toropov Andrey A.,Rallo Robert,Leszczynska Danuta,Leszczynski Jerzy

Funder

EC project PreNanoTox

EC project NanoPUZZLES

EU project PROSIL

National Science Foundation

EPSCoR

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health,Pollution,General Medicine

Reference42 articles.

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3. Study on supramolecular complexing ability vis-à-vis estimation of pKa of substituted sulfonamides: dominating role of Balaban index;Balaban;Bioorg. Med. Chem.,2005

4. Are mechanistic and statistical QSAR approaches really different? MLR studies on 158 cycloalkyl-pyranones;Bhhatarai;Mol. Inf,2010

5. In silico analysis of nanomaterials hazard and risk;Cohen;Acc. Chem. Res.,2013

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