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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
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.
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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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