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The importance of expert review to clarify ambiguous situations for (Q)SAR predictions under ICH M7
The use of in silico predictions for the assessment of bacterial mutagenicity under the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) M7 guideline is recommended when two complementary (quantitative) structure-activity relationship (Q)SAR m...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510098/ https://www.ncbi.nlm.nih.gov/pubmed/32983286 http://dx.doi.org/10.1186/s41021-020-00166-y |
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author | Foster, Robert S. Fowkes, Adrian Cayley, Alex Thresher, Andrew Werner, Anne-Laure D. Barber, Chris G. Kocks, Grace Tennant, Rachael E. Williams, Richard V. Kane, Steven Stalford, Susanne A. |
author_facet | Foster, Robert S. Fowkes, Adrian Cayley, Alex Thresher, Andrew Werner, Anne-Laure D. Barber, Chris G. Kocks, Grace Tennant, Rachael E. Williams, Richard V. Kane, Steven Stalford, Susanne A. |
author_sort | Foster, Robert S. |
collection | PubMed |
description | The use of in silico predictions for the assessment of bacterial mutagenicity under the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) M7 guideline is recommended when two complementary (quantitative) structure-activity relationship (Q)SAR models are used. Using two systems may increase the sensitivity and accuracy of predictions but also increases the need to review predictions, particularly in situations where results disagree. During the 4th ICH M7/QSAR Workshop held during the Joint Meeting of the 6th Asian Congress on Environmental Mutagens (ACEM) and the 48th Annual Meeting of the Japanese Environmental Mutagen Society (JEMS) 2019, speakers demonstrated their approaches to expert review using 20 compounds provided ahead of the workshop that were expected to yield ambiguous (Q)SAR results. Dr. Chris Barber presented a selection of the reviews carried out using Derek Nexus and Sarah Nexus provided by Lhasa Limited. On review of these compounds, common situations were recognised and are discussed in this paper along with standardised arguments that may be used for such scenarios in future. |
format | Online Article Text |
id | pubmed-7510098 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75100982020-09-24 The importance of expert review to clarify ambiguous situations for (Q)SAR predictions under ICH M7 Foster, Robert S. Fowkes, Adrian Cayley, Alex Thresher, Andrew Werner, Anne-Laure D. Barber, Chris G. Kocks, Grace Tennant, Rachael E. Williams, Richard V. Kane, Steven Stalford, Susanne A. Genes Environ Short Report The use of in silico predictions for the assessment of bacterial mutagenicity under the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) M7 guideline is recommended when two complementary (quantitative) structure-activity relationship (Q)SAR models are used. Using two systems may increase the sensitivity and accuracy of predictions but also increases the need to review predictions, particularly in situations where results disagree. During the 4th ICH M7/QSAR Workshop held during the Joint Meeting of the 6th Asian Congress on Environmental Mutagens (ACEM) and the 48th Annual Meeting of the Japanese Environmental Mutagen Society (JEMS) 2019, speakers demonstrated their approaches to expert review using 20 compounds provided ahead of the workshop that were expected to yield ambiguous (Q)SAR results. Dr. Chris Barber presented a selection of the reviews carried out using Derek Nexus and Sarah Nexus provided by Lhasa Limited. On review of these compounds, common situations were recognised and are discussed in this paper along with standardised arguments that may be used for such scenarios in future. BioMed Central 2020-09-22 /pmc/articles/PMC7510098/ /pubmed/32983286 http://dx.doi.org/10.1186/s41021-020-00166-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Short Report Foster, Robert S. Fowkes, Adrian Cayley, Alex Thresher, Andrew Werner, Anne-Laure D. Barber, Chris G. Kocks, Grace Tennant, Rachael E. Williams, Richard V. Kane, Steven Stalford, Susanne A. The importance of expert review to clarify ambiguous situations for (Q)SAR predictions under ICH M7 |
title | The importance of expert review to clarify ambiguous situations for (Q)SAR predictions under ICH M7 |
title_full | The importance of expert review to clarify ambiguous situations for (Q)SAR predictions under ICH M7 |
title_fullStr | The importance of expert review to clarify ambiguous situations for (Q)SAR predictions under ICH M7 |
title_full_unstemmed | The importance of expert review to clarify ambiguous situations for (Q)SAR predictions under ICH M7 |
title_short | The importance of expert review to clarify ambiguous situations for (Q)SAR predictions under ICH M7 |
title_sort | importance of expert review to clarify ambiguous situations for (q)sar predictions under ich m7 |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510098/ https://www.ncbi.nlm.nih.gov/pubmed/32983286 http://dx.doi.org/10.1186/s41021-020-00166-y |
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