Relationship between lethal toxicity in oral administration and injection to mice: Effect of exposure routes
Tài liệu tham khảo
Aune, 2008, Effect of mouse strain and gender on LD50 of yessotoxin, Toxicon, 52, 535, 10.1016/j.toxicon.2008.06.025
Bhhatarai, 2011, Oral LD50 toxicity modeling and prediction of per- and polyfluorinated chemicals on rat and mouse, Mol. Divers, 15, 467, 10.1007/s11030-010-9268-z
Cronin, 2002, The importance of hydrophobicity and electrophilicity descriptors in mechanistically-based QSARs for toxicological endpoints, SAR QSAR Environ. Res., 13, 167, 10.1080/10629360290002316
Devillers, 2009, Prediction of acute mammalian toxicity from QSARs and interspecies correlations, SAR QSAR Environ. Res., 20, 467, 10.1080/10629360903278651
Escher, 2002, Modes of action in ecotoxicology: their role in body burdens, species sensitivity, QSARs, and mixture effects, Environ. Sci. Technol., 36, 4201, 10.1021/es015848h
Hoffmann, 2010, Acute oral toxicity: variability, reliability, relevance and interspecies comparison of rodent LD50 data from literature surveyed for the ACuteTox project, Regul. Toxicol. Pharmacol., 58, 395, 10.1016/j.yrtph.2010.08.004
Keshavarz, 2012, Accurate prediction of the toxicity of benzoic acid compounds in mice via oral without using any computer codes, J. Hazard. Mater., 237–238, 79, 10.1016/j.jhazmat.2012.07.048
Koleva, 2011, Modelling acute oral mammalian toxicity. 1. Definition of a quantifiable baseline effect, Toxicol. In Vitro, 25, 1281, 10.1016/j.tiv.2011.04.015
Lapenna S., Fuart-Gatnik M., Worth A., 2010. Review of QSAR Models and Software Tools for predicting Acute and Chronic Systemic Toxicity. JRC Scientific and Technical Reports. EUR 24639 EN.
Lessigiarska, 2006, Quantitative structure–activity–activity and quantitative structure–activity investigations of human and rodent toxicity, Chemosphere, 65, 1878, 10.1016/j.chemosphere.2006.03.067
Meador, 2011, The tissue residue approach for toxicity assessment: findings and critical reviews from a Society of Environmental Toxicology and Chemistry Pellston Workshop, Integr. Environ. Assess. Manag., 7, 2, 10.1002/ieam.133
Organisation for Economic Cooperation and Development (OECD) guideline for the testing of chemicals 425, 2008. On acute oral toxicity – up- and down procedure. Paris, France.
Pohjanvirta, 2012, Unexpected gender difference in sensitivity to the acute toxicity of dioxin in mice, Toxicol. Appl. Pharmacol., 262, 167, 10.1016/j.taap.2012.04.032
Raevsky, 2010, Prediction of acute toxicity to mice by the arithmetic mean toxicity (AMT) modelling approach, SAR QSAR Environ. Res., 21, 265, 10.1080/10629361003771025
Singh, 2014, Multispecies QSAR modeling for predicting the aquatic toxicity of diverse organic chemicals for regulatory toxicology, Chem. Res. Toxicol., 27, 741, 10.1021/tx400371w
Tsakovska, 2008, A mini review of mammalian toxicity (Q)SAR models, QSAR Comb. Sci., 27, 41, 10.1002/qsar.200710107
Wang, 1998, Structure–activity relationships for rat and mouse LD50 of miscellaneous alcohols, Chemosphere, 36, 1475, 10.1016/S0045-6535(97)10046-7
Zhao, 2003, Quantitative relationship between rat intestinal absorption and Abraham descriptors, Eur. J. Med. Chem., 38, 939, 10.1016/j.ejmech.2003.07.005
Zhao, 2003, Evaluation of rat intestinal absorption data and correlation with human intestinal absorption, Eur. J. Med. Chem., 38, 233, 10.1016/S0223-5234(03)00015-1
Zhu, 2009, A novel two-step hierarchical quantitative structure–activity relationship modeling work flow for predicting acute toxicity of chemicals in rodents, Environ. Health Perspect., 117, 1257, 10.1289/ehp.0800471