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Automated workflows for modelling chemical fate, kinetics and toxicity
Automation is universal in today's society, from operating equipment such as machinery, in factory processes, to self-parking automobile systems. While these examples show the efficiency and effectiveness of automated mechanical processes, automated procedures that support the chemical risk ass...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Pergamon Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745146/ https://www.ncbi.nlm.nih.gov/pubmed/28323105 http://dx.doi.org/10.1016/j.tiv.2017.03.004 |
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author | Sala Benito, J.V. Paini, Alicia Richarz, Andrea-Nicole Meinl, Thorsten Berthold, Michael R. Cronin, Mark T.D. Worth, Andrew P. |
author_facet | Sala Benito, J.V. Paini, Alicia Richarz, Andrea-Nicole Meinl, Thorsten Berthold, Michael R. Cronin, Mark T.D. Worth, Andrew P. |
author_sort | Sala Benito, J.V. |
collection | PubMed |
description | Automation is universal in today's society, from operating equipment such as machinery, in factory processes, to self-parking automobile systems. While these examples show the efficiency and effectiveness of automated mechanical processes, automated procedures that support the chemical risk assessment process are still in their infancy. Future human safety assessments will rely increasingly on the use of automated models, such as physiologically based kinetic (PBK) and dynamic models and the virtual cell based assay (VCBA). These biologically-based models will be coupled with chemistry-based prediction models that also automate the generation of key input parameters such as physicochemical properties. The development of automated software tools is an important step in harmonising and expediting the chemical safety assessment process. In this study, we illustrate how the KNIME Analytics Platform can be used to provide a user-friendly graphical interface for these biokinetic models, such as PBK models and VCBA, which simulates the fate of chemicals in vivo within the body and in vitro test systems respectively. |
format | Online Article Text |
id | pubmed-5745146 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Pergamon Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57451462018-01-02 Automated workflows for modelling chemical fate, kinetics and toxicity Sala Benito, J.V. Paini, Alicia Richarz, Andrea-Nicole Meinl, Thorsten Berthold, Michael R. Cronin, Mark T.D. Worth, Andrew P. Toxicol In Vitro Article Automation is universal in today's society, from operating equipment such as machinery, in factory processes, to self-parking automobile systems. While these examples show the efficiency and effectiveness of automated mechanical processes, automated procedures that support the chemical risk assessment process are still in their infancy. Future human safety assessments will rely increasingly on the use of automated models, such as physiologically based kinetic (PBK) and dynamic models and the virtual cell based assay (VCBA). These biologically-based models will be coupled with chemistry-based prediction models that also automate the generation of key input parameters such as physicochemical properties. The development of automated software tools is an important step in harmonising and expediting the chemical safety assessment process. In this study, we illustrate how the KNIME Analytics Platform can be used to provide a user-friendly graphical interface for these biokinetic models, such as PBK models and VCBA, which simulates the fate of chemicals in vivo within the body and in vitro test systems respectively. Pergamon Press 2017-12 /pmc/articles/PMC5745146/ /pubmed/28323105 http://dx.doi.org/10.1016/j.tiv.2017.03.004 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sala Benito, J.V. Paini, Alicia Richarz, Andrea-Nicole Meinl, Thorsten Berthold, Michael R. Cronin, Mark T.D. Worth, Andrew P. Automated workflows for modelling chemical fate, kinetics and toxicity |
title | Automated workflows for modelling chemical fate, kinetics and toxicity |
title_full | Automated workflows for modelling chemical fate, kinetics and toxicity |
title_fullStr | Automated workflows for modelling chemical fate, kinetics and toxicity |
title_full_unstemmed | Automated workflows for modelling chemical fate, kinetics and toxicity |
title_short | Automated workflows for modelling chemical fate, kinetics and toxicity |
title_sort | automated workflows for modelling chemical fate, kinetics and toxicity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5745146/ https://www.ncbi.nlm.nih.gov/pubmed/28323105 http://dx.doi.org/10.1016/j.tiv.2017.03.004 |
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