Literature DB >> 27989138

A History of the Molecular Initiating Event.

Timothy E H Allen1, Jonathan M Goodman1, Steve Gutsell2, Paul J Russell2.   

Abstract

The adverse outcome pathway (AOP) framework provides an alternative to traditional in vivo experiments for the risk assessment of chemicals. AOPs consist of a number of key events (KEs) linked by key event relationships across a range of biological organization backed by scientific evidence. The first KE in the pathway is the molecular initiating event (MIE)-the initial chemical trigger that starts an AOP. Over the past 3 years the AOP conceptual framework has gained a large amount of momentum in toxicology as an alternative to animal methods, and so the MIE has come into the spotlight. What is an MIE? How can MIEs be measured or predicted? What research is currently contributing to our understanding of MIEs? In this Perspective we outline answers to these key questions.

Mesh:

Year:  2016        PMID: 27989138     DOI: 10.1021/acs.chemrestox.6b00341

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  10 in total

1.  The Adverse Outcome Pathway: A Multifaceted Framework Supporting 21st Century Toxicology.

Authors:  Gerald T Ankley; Stephen W Edwards
Journal:  Curr Opin Toxicol       Date:  2018-06-01

2.  Kinetics of Glutathione Depletion and Antioxidant Gene Expression as Indicators of Chemical Modes of Action Assessed in Vitro in Mouse Hepatocytes with Enhanced Glutathione Synthesis.

Authors:  Fjodor Melnikov; Dianne Botta; Collin C White; Stefanie C Schmuck; Matthew Winfough; Christopher M Schaupp; Evan P Gallagher; Bryan W Brooks; Edward Spencer Williams; Philip Coish; Paul T Anastas; Adelina Voutchkova-Kostal; Jakub Kostal; Terrance J Kavanagh
Journal:  Chem Res Toxicol       Date:  2019-01-07       Impact factor: 3.739

3.  Use of Lhasa Limited Products for the In Silico Prediction of Drug Toxicity.

Authors:  David J Ponting; Michael J Burns; Robert S Foster; Rachel Hemingway; Grace Kocks; Donna S MacMillan; Andrew L Shannon-Little; Rachael E Tennant; Jessica R Tidmarsh; David J Yeo
Journal:  Methods Mol Biol       Date:  2022

4.  In silico approaches in organ toxicity hazard assessment: current status and future needs in predicting liver toxicity.

Authors:  Arianna Bassan; Vinicius M Alves; Alexander Amberg; Lennart T Anger; Scott Auerbach; Lisa Beilke; Andreas Bender; Mark T D Cronin; Kevin P Cross; Jui-Hua Hsieh; Nigel Greene; Raymond Kemper; Marlene T Kim; Moiz Mumtaz; Tobias Noeske; Manuela Pavan; Julia Pletz; Daniel P Russo; Yogesh Sabnis; Markus Schaefer; David T Szabo; Jean-Pierre Valentin; Joerg Wichard; Dominic Williams; David Woolley; Craig Zwickl; Glenn J Myatt
Journal:  Comput Toxicol       Date:  2021-09-09

5.  StemPanTox: A fast and wide-target drug assessment system for tailor-made safety evaluations using personalized iPS cells.

Authors:  Junko Yamane; Takumi Wada; Hironori Otsuki; Koji Inomata; Mutsumi Suzuki; Tomoka Hisaki; Shuichi Sekine; Hirokazu Kouzuki; Kenta Kobayashi; Hideko Sone; Jun K Yamashita; Mitsujiro Osawa; Megumu K Saito; Wataru Fujibuchi
Journal:  iScience       Date:  2022-06-06

6.  Comparison of Approaches for Determining Bioactivity Hits from High-Dimensional Profiling Data.

Authors:  Johanna Nyffeler; Derik E Haggard; Clinton Willis; R Woodrow Setzer; Richard Judson; Katie Paul-Friedman; Logan J Everett; Joshua A Harrill
Journal:  SLAS Discov       Date:  2020-08-29       Impact factor: 3.341

7.  In Silico Molecular Docking and In Vivo Validation with Caenorhabditis elegans to Discover Molecular Initiating Events in Adverse Outcome Pathway Framework: Case Study on Endocrine-Disrupting Chemicals with Estrogen and Androgen Receptors.

Authors:  Jaeseong Jeong; Hunbeen Kim; Jinhee Choi
Journal:  Int J Mol Sci       Date:  2019-03-10       Impact factor: 5.923

Review 8.  Quantitative adverse outcome pathway (qAOP) models for toxicity prediction.

Authors:  Nicoleta Spinu; Mark T D Cronin; Steven J Enoch; Judith C Madden; Andrew P Worth
Journal:  Arch Toxicol       Date:  2020-05-18       Impact factor: 5.153

9.  Density Functional Theory in the Prediction of Mutagenicity: A Perspective.

Authors:  Piers A Townsend; Matthew N Grayson
Journal:  Chem Res Toxicol       Date:  2020-08-07       Impact factor: 3.739

10.  Prediction of the Neurotoxic Potential of Chemicals Based on Modelling of Molecular Initiating Events Upstream of the Adverse Outcome Pathways of (Developmental) Neurotoxicity.

Authors:  Domenico Gadaleta; Nicoleta Spînu; Alessandra Roncaglioni; Mark T D Cronin; Emilio Benfenati
Journal:  Int J Mol Sci       Date:  2022-03-11       Impact factor: 5.923

  10 in total

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