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Construction of an In Silico Structural Profiling Tool Facilitating Mechanistically Grounded Classification of Aquatic Toxicants
[Image: see text] The performance of chemical safety assessment within the domain of environmental toxicology is often impeded by a shortfall of appropriate experimental data describing potential hazards across the many compounds in regular industrial use. In silico schemes for assigning aquatic-rel...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775196/ https://www.ncbi.nlm.nih.gov/pubmed/36445296 http://dx.doi.org/10.1021/acs.est.2c03736 |
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author | Firman, James W. Ebbrell, David J. Bauer, Franklin J. Sapounidou, Maria Hodges, Geoff Campos, Bruno Roberts, Jayne Gutsell, Steve Thomas, Paul C. Bonnell, Mark Cronin, Mark T. D. |
author_facet | Firman, James W. Ebbrell, David J. Bauer, Franklin J. Sapounidou, Maria Hodges, Geoff Campos, Bruno Roberts, Jayne Gutsell, Steve Thomas, Paul C. Bonnell, Mark Cronin, Mark T. D. |
author_sort | Firman, James W. |
collection | PubMed |
description | [Image: see text] The performance of chemical safety assessment within the domain of environmental toxicology is often impeded by a shortfall of appropriate experimental data describing potential hazards across the many compounds in regular industrial use. In silico schemes for assigning aquatic-relevant modes or mechanisms of toxic action to substances, based solely on consideration of chemical structure, have seen widespread employment—including those of Verhaar, Russom, and later Bauer (MechoA). Recently, development of a further system was reported by Sapounidou, which, in common with MechoA, seeks to ground its classifications in understanding and appreciation of molecular initiating events. Until now, this Sapounidou scheme has not seen implementation as a tool for practical screening use. Accordingly, the primary purpose of this study was to create such a resource—in the form of a computational workflow. This exercise was facilitated through the formulation of 183 structural alerts/rules describing molecular features associated with narcosis, chemical reactivity, and specific mechanisms of action. Output was subsequently compared relative to that of the three aforementioned alternative systems to identify strengths and shortcomings as regards coverage of chemical space. |
format | Online Article Text |
id | pubmed-9775196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-97751962022-12-23 Construction of an In Silico Structural Profiling Tool Facilitating Mechanistically Grounded Classification of Aquatic Toxicants Firman, James W. Ebbrell, David J. Bauer, Franklin J. Sapounidou, Maria Hodges, Geoff Campos, Bruno Roberts, Jayne Gutsell, Steve Thomas, Paul C. Bonnell, Mark Cronin, Mark T. D. Environ Sci Technol [Image: see text] The performance of chemical safety assessment within the domain of environmental toxicology is often impeded by a shortfall of appropriate experimental data describing potential hazards across the many compounds in regular industrial use. In silico schemes for assigning aquatic-relevant modes or mechanisms of toxic action to substances, based solely on consideration of chemical structure, have seen widespread employment—including those of Verhaar, Russom, and later Bauer (MechoA). Recently, development of a further system was reported by Sapounidou, which, in common with MechoA, seeks to ground its classifications in understanding and appreciation of molecular initiating events. Until now, this Sapounidou scheme has not seen implementation as a tool for practical screening use. Accordingly, the primary purpose of this study was to create such a resource—in the form of a computational workflow. This exercise was facilitated through the formulation of 183 structural alerts/rules describing molecular features associated with narcosis, chemical reactivity, and specific mechanisms of action. Output was subsequently compared relative to that of the three aforementioned alternative systems to identify strengths and shortcomings as regards coverage of chemical space. American Chemical Society 2022-11-29 2022-12-20 /pmc/articles/PMC9775196/ /pubmed/36445296 http://dx.doi.org/10.1021/acs.est.2c03736 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Firman, James W. Ebbrell, David J. Bauer, Franklin J. Sapounidou, Maria Hodges, Geoff Campos, Bruno Roberts, Jayne Gutsell, Steve Thomas, Paul C. Bonnell, Mark Cronin, Mark T. D. Construction of an In Silico Structural Profiling Tool Facilitating Mechanistically Grounded Classification of Aquatic Toxicants |
title | Construction
of an In Silico Structural Profiling
Tool Facilitating Mechanistically Grounded Classification of Aquatic
Toxicants |
title_full | Construction
of an In Silico Structural Profiling
Tool Facilitating Mechanistically Grounded Classification of Aquatic
Toxicants |
title_fullStr | Construction
of an In Silico Structural Profiling
Tool Facilitating Mechanistically Grounded Classification of Aquatic
Toxicants |
title_full_unstemmed | Construction
of an In Silico Structural Profiling
Tool Facilitating Mechanistically Grounded Classification of Aquatic
Toxicants |
title_short | Construction
of an In Silico Structural Profiling
Tool Facilitating Mechanistically Grounded Classification of Aquatic
Toxicants |
title_sort | construction
of an in silico structural profiling
tool facilitating mechanistically grounded classification of aquatic
toxicants |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775196/ https://www.ncbi.nlm.nih.gov/pubmed/36445296 http://dx.doi.org/10.1021/acs.est.2c03736 |
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