Literature DB >> 23764304

Use of category approaches, read-across and (Q)SAR: general considerations.

Grace Patlewicz1, Nicholas Ball, Ewan D Booth, Etje Hulzebos, Elton Zvinavashe, Christa Hennes.   

Abstract

Read-across has generated much attention since it may be used as an alternative approach for addressing the information requirements under regulatory programmes, notably the EU's REACH regulation. Read-across approaches are conceptually accepted by ECHA and Member State Authorities (MS) but difficulties remain in applying them consistently in practice. Technical guidance is available and there are a plethora of models and tools that can assist in the development of categories and read-across, but guidance on how to practically apply categorisation approaches is still missing. This paper was prepared following an ECETOC (European Centre for Ecotoxicology and Toxicology) Task Force that had the objective of summarising guidance and tools available, reviewing their practical utility and considering what technical recommendations and learnings could be shared more widely to refine and inform on the current use of read-across. The full insights are recorded in ECETOC Technical Report TR No. 116. The focus of this present paper is to describe some of the technical and practical considerations when applying read-across under REACH. Since many of the deliberations helped identify the issues for discussion at a recent ECHA/Cefic LRI workshop on "read-across", summary outcomes from this workshop are captured where appropriate for completeness.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  (Q)SAR; Analogue approach; Category approach; Data gap filling; REACH; Read-across

Mesh:

Substances:

Year:  2013        PMID: 23764304     DOI: 10.1016/j.yrtph.2013.06.002

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  21 in total

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2.  Transitioning the Generalised Read-Across approach (GenRA) to quantitative predictions: A case study using acute oral toxicity data.

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Journal:  Comput Toxicol       Date:  2019-11-01

3.  Navigating through the minefield of read-across tools: A review of in silico tools for grouping.

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Journal:  Comput Toxicol       Date:  2017-08

4.  A systematic evaluation of analogs and automated read-across prediction of estrogenicity: A case study using hindered phenols.

Authors:  Prachi Pradeep; Kamel Mansouri; Grace Patlewicz; Richard Judson
Journal:  Comput Toxicol       Date:  2017-11-01

5.  Assessment of atrazine toxicity to the estuarine phytoplankter, Dunaliella tertiolecta (Chlorophyta), under varying nutrient conditions.

Authors:  Stacie Flood; JoAnn Burkholder; Greg Cope
Journal:  Environ Sci Pollut Res Int       Date:  2018-02-08       Impact factor: 4.223

Review 6.  The Impact of Novel Assessment Methodologies in Toxicology on Green Chemistry and Chemical Alternatives.

Authors:  Ivan Rusyn; Nigel Greene
Journal:  Toxicol Sci       Date:  2018-02-01       Impact factor: 4.849

7.  Extending the Generalised Read-Across approach (GenRA): A systematic analysis of the impact of physicochemical property information on read-across performance.

Authors:  George Helman; Imran Shah; Grace Patlewicz
Journal:  Comput Toxicol       Date:  2018

8.  Exploring current read-across applications and needs among selected U.S. Federal Agencies.

Authors:  Grace Patlewicz; Lucina E Lizarraga; Diego Rua; David G Allen; Amber B Daniel; Suzanne C Fitzpatrick; Natàlia Garcia-Reyero; John Gordon; Pertti Hakkinen; Angela S Howard; Agnes Karmaus; Joanna Matheson; Moiz Mumtaz; Andrea-Nicole Richarz; Patricia Ruiz; Louis Scarano; Takashi Yamada; Nicole Kleinstreuer
Journal:  Regul Toxicol Pharmacol       Date:  2019-05-10       Impact factor: 3.271

9.  In silico toxicology protocols.

Authors:  Glenn J Myatt; Ernst Ahlberg; Yumi Akahori; David Allen; Alexander Amberg; Lennart T Anger; Aynur Aptula; Scott Auerbach; Lisa Beilke; Phillip Bellion; Romualdo Benigni; Joel Bercu; Ewan D Booth; Dave Bower; Alessandro Brigo; Natalie Burden; Zoryana Cammerer; Mark T D Cronin; Kevin P Cross; Laura Custer; Magdalena Dettwiler; Krista Dobo; Kevin A Ford; Marie C Fortin; Samantha E Gad-McDonald; Nichola Gellatly; Véronique Gervais; Kyle P Glover; Susanne Glowienke; Jacky Van Gompel; Steve Gutsell; Barry Hardy; James S Harvey; Jedd Hillegass; Masamitsu Honma; Jui-Hua Hsieh; Chia-Wen Hsu; Kathy Hughes; Candice Johnson; Robert Jolly; David Jones; Ray Kemper; Michelle O Kenyon; Marlene T Kim; Naomi L Kruhlak; Sunil A Kulkarni; Klaus Kümmerer; Penny Leavitt; Bernhard Majer; Scott Masten; Scott Miller; Janet Moser; Moiz Mumtaz; Wolfgang Muster; Louise Neilson; Tudor I Oprea; Grace Patlewicz; Alexandre Paulino; Elena Lo Piparo; Mark Powley; Donald P Quigley; M Vijayaraj Reddy; Andrea-Nicole Richarz; Patricia Ruiz; Benoit Schilter; Rositsa Serafimova; Wendy Simpson; Lidiya Stavitskaya; Reinhard Stidl; Diana Suarez-Rodriguez; David T Szabo; Andrew Teasdale; Alejandra Trejo-Martin; Jean-Pierre Valentin; Anna Vuorinen; Brian A Wall; Pete Watts; Angela T White; Joerg Wichard; Kristine L Witt; Adam Woolley; David Woolley; Craig Zwickl; Catrin Hasselgren
Journal:  Regul Toxicol Pharmacol       Date:  2018-04-17       Impact factor: 3.271

10.  Integrating data gap filling techniques: A case study predicting TEFs for neurotoxicity TEQs to facilitate the hazard assessment of polychlorinated biphenyls.

Authors:  Prachi Pradeep; Laura M Carlson; Richard Judson; Geniece M Lehmann; Grace Patlewicz
Journal:  Regul Toxicol Pharmacol       Date:  2018-10-22       Impact factor: 3.271

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