Literature DB >> 18692861

Classification of chemicals according to mechanism of aquatic toxicity: an evaluation of the implementation of the Verhaar scheme in Toxtree.

S J Enoch1, M Hewitt, M T D Cronin, S Azam, J C Madden.   

Abstract

A number of mechanisms have been identified that can lead to (acute) aquatic toxicity. The assignment of compounds to a particular mechanism of action is important in the development and utilisation of (quantitative) structure-activity relationships ((Q)SARs) for ecotoxicity. Assignment to a mechanism can be difficult; however in 1992 Verhaar et al. published a series of structural rules which aimed to classify compounds according to mechanism of action. Recent interest has seen the Verhaar rules coded into freely available software such as Toxtree available from the European Chemicals Bureau. To date, a complete critical evaluation of these rules has been lacking. Therefore, the aim of this study was to evaluate the Toxtree implementation of the Verhaar rules using two well characterised aquatic toxicity datasets (Pimephales promelas and Tetrahymena pyriformis phenol databases) for which mechanisms of toxic action are well established. The present study highlights rule, and possible coding, errors that may lead to misclassifications. Improvements to both the rules and prediction architecture are suggested. In particular further rules to improve predictions for polar narcosis (class 2) are suggested.

Entities:  

Mesh:

Year:  2008        PMID: 18692861     DOI: 10.1016/j.chemosphere.2008.06.052

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  6 in total

1.  MOA-based linear and nonlinear QSAR models for predicting the toxicity of organic chemicals to Vibrio fischeri.

Authors:  Shengnan Zhang; Ning Wang; Limin Su; Xiaoyan Xu; Chao Li; Weichao Qin; Yuanhui Zhao
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-08       Impact factor: 4.223

2.  In silico study of garlic (Allium sativum L.)-derived compounds molecular interactions with α-glucosidase.

Authors:  Morteza Sadeghi; Mohammad Moradi; Hamid Madanchi; Behrooz Johari
Journal:  In Silico Pharmacol       Date:  2021-01-07

Review 3.  The Role of Omics in the Application of Adverse Outcome Pathways for Chemical Risk Assessment.

Authors:  Erica K Brockmeier; Geoff Hodges; Thomas H Hutchinson; Emma Butler; Markus Hecker; Knut Erik Tollefsen; Natalia Garcia-Reyero; Peter Kille; Dörthe Becker; Kevin Chipman; John Colbourne; Timothy W Collette; Andrew Cossins; Mark Cronin; Peter Graystock; Steve Gutsell; Dries Knapen; Ioanna Katsiadaki; Anke Lange; Stuart Marshall; Stewart F Owen; Edward J Perkins; Stewart Plaistow; Anthony Schroeder; Daisy Taylor; Mark Viant; Gerald Ankley; Francesco Falciani
Journal:  Toxicol Sci       Date:  2017-08-01       Impact factor: 4.849

4.  Mode of Action Classifications in the EnviroTox Database: Development and Implementation of a Consensus MOA Classification.

Authors:  Aude Kienzler; Kristin A Connors; Mark Bonnell; Mace G Barron; Amy Beasley; Cristina G Inglis; Teresa J Norberg-King; Todd Martin; Hans Sanderson; Nathalie Vallotton; Peter Wilson; Michelle R Embry
Journal:  Environ Toxicol Chem       Date:  2019-09-05       Impact factor: 3.742

5.  Estimating species sensitivity distributions on the basis of readily obtainable descriptors and toxicity data for three species of algae, crustaceans, and fish.

Authors:  Yuichi Iwasaki; Kiyan Sorgog
Journal:  PeerJ       Date:  2021-03-03       Impact factor: 2.984

Review 6.  In vitro or not in vitro: a short journey through a long history.

Authors:  Kristina Rehberger; Christian Kropf; Helmut Segner
Journal:  Environ Sci Eur       Date:  2018-06-26       Impact factor: 5.893

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.