Literature DB >> 25368965

Read-across approaches--misconceptions, promises and challenges ahead.

Grace Patlewicz1, Nicholas Ball, Richard A Becker, Ewan D Booth, Mark T D Cronin, Dinant Kroese, David Steup, Ben van Ravenzwaay, Thomas Hartung.   

Abstract

Read-across is a data gap filling technique used within category and analogue approaches. It has been utilized as an alternative approach to address information requirements under various past and present regulatory programs such as the OECD High Production Volume Programme as well as the EU's Registration, Evaluation, Authorisation and restriction of CHemicals (REACH) regulation. Although read-across raises a number of expectations, many misconceptions still remain around what it truly represents; how to address its associated justification in a robust and scientifically credible manner; what challenges/issues exist in terms of its application and acceptance; and what future efforts are needed to resolve them. In terms of future enhancements, read-across is likely to embrace more biologically-orientated approaches consistent with the Toxicity in the 21st Century vision (Tox-21c). This Food for Thought article, which is notably not a consensus report, aims to discuss a number of these aspects and, in doing so, to raise awareness of the ongoing efforts and activities to enhance read-across. It also intends to set the agenda for a CAAT read-across initiative in 2014-2015 to facilitate the proper use of this technique.

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Year:  2014        PMID: 25368965     DOI: 10.14573/altex.1410071

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


  33 in total

1.  CIIPro: a new read-across portal to fill data gaps using public large-scale chemical and biological data.

Authors:  Daniel P Russo; Marlene T Kim; Wenyi Wang; Daniel Pinolini; Sunil Shende; Judy Strickland; Thomas Hartung; Hao Zhu
Journal:  Bioinformatics       Date:  2017-02-01       Impact factor: 6.937

Review 2.  Big-data and machine learning to revamp computational toxicology and its use in risk assessment.

Authors:  Thomas Luechtefeld; Craig Rowlands; Thomas Hartung
Journal:  Toxicol Res (Camb)       Date:  2018-05-01       Impact factor: 3.524

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

Authors:  Patlewicz Grace; Helman George; Pradeep Prachi; Shah Imran
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.  Alarms about structural alerts.

Authors:  Vinicius Alves; Eugene Muratov; Stephen Capuzzi; Regina Politi; Yen Low; Rodolpho Braga; Alexey V Zakharov; Alexander Sedykh; Elena Mokshyna; Sherif Farag; Carolina Andrade; Victor Kuz'min; Denis Fourches; Alexander Tropsha
Journal:  Green Chem       Date:  2016-06-28       Impact factor: 10.182

6.  Predictive Modeling of Estrogen Receptor Binding Agents Using Advanced Cheminformatics Tools and Massive Public Data.

Authors:  Kathryn Ribay; Marlene T Kim; Wenyi Wang; Daniel Pinolini; Hao Zhu
Journal:  Front Environ Sci       Date:  2016-03-08

7.  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

8.  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

9.  Aggregate Exposure Pathways in Support of Risk Assessment.

Authors:  Yu-Mei Tan; Jeremy A Leonard; Stephen Edwards; Justin Teeguarden; Alicia Paini; Peter Egeghy
Journal:  Curr Opin Toxicol       Date:  2018-03-29

Review 10.  Perspectives on In Vitro to In Vivo Extrapolations.

Authors:  Thomas Hartung
Journal:  Appl In Vitro Toxicol       Date:  2018-12-08
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