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Genetic toxicology in silico protocol.

Authors :
Hasselgren C
Ahlberg E
Akahori Y
Amberg A
Anger LT
Atienzar F
Auerbach S
Beilke L
Bellion P
Benigni R
Bercu J
Booth ED
Bower D
Brigo A
Cammerer Z
Cronin MTD
Crooks I
Cross KP
Custer L
Dobo K
Doktorova T
Faulkner D
Ford KA
Fortin MC
Frericks M
Gad-McDonald SE
Gellatly N
Gerets H
Gervais V
Glowienke S
Van Gompel J
Harvey JS
Hillegass J
Honma M
Hsieh JH
Hsu CW
Barton-Maclaren TS
Johnson C
Jolly R
Jones D
Kemper R
Kenyon MO
Kruhlak NL
Kulkarni SA
Kümmerer K
Leavitt P
Masten S
Miller S
Moudgal C
Muster W
Paulino A
Lo Piparo E
Powley M
Quigley DP
Reddy MV
Richarz AN
Schilter B
Snyder RD
Stavitskaya L
Stidl R
Szabo DT
Teasdale A
Tice RR
Trejo-Martin A
Vuorinen A
Wall BA
Watts P
White AT
Wichard J
Witt KL
Woolley A
Woolley D
Zwickl C
Myatt GJ
Source :
Regulatory toxicology and pharmacology : RTP [Regul Toxicol Pharmacol] 2019 Oct; Vol. 107, pp. 104403. Date of Electronic Publication: 2019 Jun 11.
Publication Year :
2019

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.<br /> (Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1096-0295
Volume :
107
Database :
MEDLINE
Journal :
Regulatory toxicology and pharmacology : RTP
Publication Type :
Academic Journal
Accession number :
31195068
Full Text :
https://doi.org/10.1016/j.yrtph.2019.104403