| Literature DB >> 31195068 |
Catrin Hasselgren1, Ernst Ahlberg2, Yumi Akahori3, Alexander Amberg4, Lennart T Anger4, Franck Atienzar5, Scott Auerbach6, Lisa Beilke7, Phillip Bellion8, Romualdo Benigni9, Joel Bercu10, Ewan D Booth11, Dave Bower12, Alessandro Brigo13, Zoryana Cammerer14, Mark T D Cronin15, Ian Crooks16, Kevin P Cross12, Laura Custer17, Krista Dobo18, Tatyana Doktorova19, David Faulkner20, Kevin A Ford21, Marie C Fortin22, Markus Frericks23, Samantha E Gad-McDonald24, Nichola Gellatly25, Helga Gerets26, Véronique Gervais27, Susanne Glowienke28, Jacky Van Gompel29, James S Harvey30, Jedd Hillegass17, Masamitsu Honma31, Jui-Hua Hsieh32, Chia-Wen Hsu33, Tara S Barton-Maclaren34, Candice Johnson12, Robert Jolly35, David Jones36, Ray Kemper37, Michelle O Kenyon18, Naomi L Kruhlak33, Sunil A Kulkarni34, Klaus Kümmerer38, Penny Leavitt17, Scott Masten6, Scott Miller12, Chandrika Moudgal39, Wolfgang Muster13, Alexandre Paulino40, Elena Lo Piparo41, Mark Powley42, Donald P Quigley12, M Vijayaray Reddy42, Andrea-Nicole Richarz43, Benoit Schilter41, Ronald D Snyder44, Lidiya Stavitskaya33, Reinhard Stidl45, David T Szabo46, Andrew Teasdale47, Raymond R Tice48, Alejandra Trejo-Martin10, Anna Vuorinen8, Brian A Wall49, Pete Watts50, Angela T White30, Joerg Wichard51, Kristine L Witt6, Adam Woolley52, David Woolley52, Craig Zwickl53, Glenn J Myatt12.
Abstract
In silico toxicology (IST) approaches to rapidly assess chemical hazard, and usage of such methods is increasing in all applications but especially for regulatory submissions, such as for assessing chemicals under REACH as well as the ICH M7 guideline for drug impurities. There are a number of obstacles to performing an IST assessment, including uncertainty in how such an assessment and associated expert review should be performed or what is fit for purpose, as well as a lack of confidence that the results will be accepted by colleagues, collaborators and regulatory authorities. To address this, a project to develop a series of IST protocols for different hazard endpoints has been initiated and this paper describes the genetic toxicity in silico (GIST) protocol. The protocol outlines a hazard assessment framework including key effects/mechanisms and their relationships to endpoints such as gene mutation and clastogenicity. IST models and data are reviewed that support the assessment of these effects/mechanisms along with defined approaches for combining the information and evaluating the confidence in the assessment. This protocol has been developed through a consortium of toxicologists, computational scientists, and regulatory scientists across several industries to support the implementation and acceptance of in silico approaches.Entities:
Keywords: (Q)SAR; Computational toxicology protocols; Expert alerts; Expert review; Genetic toxicology; In silico; In silico toxicology
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Year: 2019 PMID: 31195068 PMCID: PMC7485926 DOI: 10.1016/j.yrtph.2019.104403
Source DB: PubMed Journal: Regul Toxicol Pharmacol ISSN: 0273-2300 Impact factor: 3.271