Literature DB >> 23338804

Using toxicological evidence from QSAR models in practice.

Emilio Benfenati1, Simon Pardoe, Todd Martin, Rodolfo Gonella Diaza, Anna Lombardo, Alberto Manganaro, Andrea Gissi.   

Abstract

Leading QSAR models provide supporting documentation in addition to a predicted toxicological value. Such information enables the toxicologist to explore the properties of chemical substances as well as to review and to increase the reliability of toxicity predictions. This article focuses on the use of this information in practice. We explore the supporting documentation provided by the EPISuite, T.E.S.T. and VEGA platforms when evaluating the bioconcentration factor (BCF) of three example compounds. Each compound presents a different challenge: to recognize high reliability, analyze complex evidence of reliability, and recognize uncertainty. In each case, we first describe and discuss the supporting documentation provided by the QSAR platforms. We then discuss the judgments on reliability across sectors from 28 toxicologists who used this supporting information and commented on the process. The article demonstrates both the use of QSAR models as tools to reduce or replace in vivo testing, and the need for scientific expertise and rigor in their use.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23338804     DOI: 10.14573/altex.2013.1.019

Source DB:  PubMed          Journal:  ALTEX        ISSN: 1868-596X            Impact factor:   6.043


  3 in total

1.  Using VEGAHUB Within a Weight-of-Evidence Strategy.

Authors:  Serena Manganelli; Alessio Gamba; Erika Colombo; Emilio Benfenati
Journal:  Methods Mol Biol       Date:  2022

2.  A systems biology approach to predictive developmental neurotoxicity of a larvicide used in the prevention of Zika virus transmission.

Authors:  Karine Audouze; Olivier Taboureau; Philippe Grandjean
Journal:  Toxicol Appl Pharmacol       Date:  2018-02-21       Impact factor: 4.219

3.  Metrics, dose, and dose concept: the need for a proper dose concept in the risk assessment of nanoparticles.

Authors:  Myrtill Simkó; Dietmar Nosske; Wolfgang G Kreyling
Journal:  Int J Environ Res Public Health       Date:  2014-04-14       Impact factor: 3.390

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.