Genetic toxicology in silico protocol
Autor: | Markus Frericks, Franck Atienzar, Nichola Gellatly, Candice Y. Johnson, Lisa Beilke, Alessandro Brigo, Laura Custer, Brian A. Wall, Dave Bower, Penny Leavitt, Angela White, Helga Gerets, Ray Kemper, Krista L. Dobo, David Jones, Naomi L. Kruhlak, Ian Crooks, Tara S. Barton-Maclaren, Craig Zwickl, Mark T. D. Cronin, Kevin P. Cross, Michelle O. Kenyon, Jui-Hua Hsieh, Véronique Gervais, Anna Vuorinen, Andrea-Nicole Richarz, David Faulkner, Zoryana Cammerer, Ronald D. Snyder, Jedd Hillegass, Kristine L. Witt, James Harvey, Alexandre Paulino, Glenn J. Myatt, Phillip Bellion, Romualdo Benigni, Marie C. Fortin, Alexander Amberg, Robert A. Jolly, Ernst Ahlberg, Lidiya Stavitskaya, M. Vijayaray Reddy, Chia-Wen Hsu, Mark Powley, Tatyana Y. Doktorova, Scott Miller, Chandrika Moudgal, Masamitsu Honma, Benoît Schilter, Donald P. Quigley, David Woolley, Raymond R. Tice, Samantha E. Gad-McDonald, Pete Watts, Joerg Wichard, Reinhard Stidl, Joel P. Bercu, Andrew Teasdale, Wolfgang Muster, Catrin Hasselgren, Susanne Glowienke, Elena Lo Piparo, Yumi Akahori, Adam Woolley, Klaus Kümmerer, David T. Szabo, Jacky Van Gompel, Sunil Kulkarni, Alejandra Trejo-Martin, Lennart T. Anger, Scott A. Masten, Kevin A. Ford, Scott S. Auerbach, Ewan D. Booth |
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Rok vydání: | 2019 |
Předmět: |
Computer science
In silico Expert alerts 010501 environmental sciences Gene mutation Hazard analysis Toxicology Risk Assessment 030226 pharmacology & pharmacy 01 natural sciences Article (Q)SAR 03 medical and health sciences 0302 clinical medicine Animals Humans Computer Simulation 0105 earth and related environmental sciences Protocol (science) Mutagenicity Tests In silico toxicology General Medicine Guideline Models Theoretical Hazard Chemical hazard Expert review Chemistry Risk analysis (engineering) Computational toxicology protocols Research Design Genetic toxicology Mutagens Genetic Toxicology |
Zdroj: | Regul Toxicol Pharmacol Hasselgren, C, Ahlberg, E, Akahori, Y, Amberg, A, Anger, L T, Atienzar, F, Auerbach, S, Beilke, L, Bellion, P, Benigni, R, Bercu, J, Booth, E D, Bower, D, Brigo, A, Cammerer, Z, Cronin, M T D, Crooks, I, Cross, K P, Custer, L, Dobo, K, Doktorova, T, Faulkner, D, Ford, K A, Fortin, M C, Frericks, M, Gad-McDonald, S E, Gellatly, N, Gerets, H, Gervais, V, Glowienke, S, Van Gompel, J, Harvey, J S, Hillegass, J, Honma, M, Hsieh, J H, Hsu, C W, Barton-Maclaren, T S, Johnson, C, Jolly, R, Jones, D, Kemper, R, Kenyon, M O, Kruhlak, N L, Kulkarni, S A, Kümmerer, K, Leavitt, P, Masten, S, Miller, S, Moudgal, C, Muster, W, Paulino, A, Lo Piparo, E, Powley, M, Quigley, D P, Reddy, M V, Richarz, A N, Schilter, B, Snyder, R D, Stavitskaya, L, Stidl, R, Szabo, D T, Teasdale, A, Tice, R R, Trejo-Martin, A, Vuorinen, A, Wall, B A, Watts, P, White, A T, Wichard, J, Witt, K L, Woolley, A, Woolley, D, Zwickl, C & Myatt, G J 2019, ' Genetic toxicology in silico protocol ', Regulatory Toxicology and Pharmacology, vol. 107, no. 104403, 104403 . https://doi.org/10.1016/j.yrtph.2019.104403 |
ISSN: | 0273-2300 |
Popis: | 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. |
Databáze: | OpenAIRE |
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