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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...

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Autores principales: Sala Benito, J.V., Paini, Alicia, Richarz, Andrea-Nicole, Meinl, Thorsten, Berthold, Michael R., Cronin, Mark T.D., Worth, Andrew P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pergamon Press 2017
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.
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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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