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A scheme to evaluate structural alerts to predict toxicity – Assessing confidence by characterising uncertainties

Structure-activity relationships (SARs) in toxicology have enabled the formation of structural rules which, when coded as structural alerts, are essential tools in in silico toxicology. Whilst other in silico methods have approaches for their evaluation, there is no formal process to assess the conf...

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Autores principales: Cronin, Mark T.D., Bauer, Franklin J., Bonnell, Mark, Campos, Bruno, Ebbrell, David J., Firman, James W., Gutsell, Steve, Hodges, Geoff, Patlewicz, Grace, Sapounidou, Maria, Spînu, Nicoleta, Thomas, Paul C., Worth, Andrew P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585125/
https://www.ncbi.nlm.nih.gov/pubmed/36041585
http://dx.doi.org/10.1016/j.yrtph.2022.105249
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author Cronin, Mark T.D.
Bauer, Franklin J.
Bonnell, Mark
Campos, Bruno
Ebbrell, David J.
Firman, James W.
Gutsell, Steve
Hodges, Geoff
Patlewicz, Grace
Sapounidou, Maria
Spînu, Nicoleta
Thomas, Paul C.
Worth, Andrew P.
author_facet Cronin, Mark T.D.
Bauer, Franklin J.
Bonnell, Mark
Campos, Bruno
Ebbrell, David J.
Firman, James W.
Gutsell, Steve
Hodges, Geoff
Patlewicz, Grace
Sapounidou, Maria
Spînu, Nicoleta
Thomas, Paul C.
Worth, Andrew P.
author_sort Cronin, Mark T.D.
collection PubMed
description Structure-activity relationships (SARs) in toxicology have enabled the formation of structural rules which, when coded as structural alerts, are essential tools in in silico toxicology. Whilst other in silico methods have approaches for their evaluation, there is no formal process to assess the confidence that may be associated with a structural alert. This investigation proposes twelve criteria to assess the uncertainty associated with structural alerts, allowing for an assessment of confidence. The criteria are based around the stated purpose, description of the chemistry, toxicology and mechanism, performance and coverage, as well as corroborating and supporting evidence of the alert. Alerts can be given a confidence assessment and score, enabling the identification of areas where more information may be beneficial. The scheme to evaluate structural alerts was placed in the context of various use cases for industrial and regulatory applications. The analysis of alerts, and consideration of the evaluation scheme, identifies the different characteristics an alert may have, such as being highly specific or generic. These characteristics may determine when an alert can be used for specific uses such as identification of analogues for read-across or hazard identification.
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spelling pubmed-95851252022-11-01 A scheme to evaluate structural alerts to predict toxicity – Assessing confidence by characterising uncertainties Cronin, Mark T.D. Bauer, Franklin J. Bonnell, Mark Campos, Bruno Ebbrell, David J. Firman, James W. Gutsell, Steve Hodges, Geoff Patlewicz, Grace Sapounidou, Maria Spînu, Nicoleta Thomas, Paul C. Worth, Andrew P. Regul Toxicol Pharmacol Article Structure-activity relationships (SARs) in toxicology have enabled the formation of structural rules which, when coded as structural alerts, are essential tools in in silico toxicology. Whilst other in silico methods have approaches for their evaluation, there is no formal process to assess the confidence that may be associated with a structural alert. This investigation proposes twelve criteria to assess the uncertainty associated with structural alerts, allowing for an assessment of confidence. The criteria are based around the stated purpose, description of the chemistry, toxicology and mechanism, performance and coverage, as well as corroborating and supporting evidence of the alert. Alerts can be given a confidence assessment and score, enabling the identification of areas where more information may be beneficial. The scheme to evaluate structural alerts was placed in the context of various use cases for industrial and regulatory applications. The analysis of alerts, and consideration of the evaluation scheme, identifies the different characteristics an alert may have, such as being highly specific or generic. These characteristics may determine when an alert can be used for specific uses such as identification of analogues for read-across or hazard identification. Elsevier 2022-11 /pmc/articles/PMC9585125/ /pubmed/36041585 http://dx.doi.org/10.1016/j.yrtph.2022.105249 Text en © 2022 The Authors https://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
Cronin, Mark T.D.
Bauer, Franklin J.
Bonnell, Mark
Campos, Bruno
Ebbrell, David J.
Firman, James W.
Gutsell, Steve
Hodges, Geoff
Patlewicz, Grace
Sapounidou, Maria
Spînu, Nicoleta
Thomas, Paul C.
Worth, Andrew P.
A scheme to evaluate structural alerts to predict toxicity – Assessing confidence by characterising uncertainties
title A scheme to evaluate structural alerts to predict toxicity – Assessing confidence by characterising uncertainties
title_full A scheme to evaluate structural alerts to predict toxicity – Assessing confidence by characterising uncertainties
title_fullStr A scheme to evaluate structural alerts to predict toxicity – Assessing confidence by characterising uncertainties
title_full_unstemmed A scheme to evaluate structural alerts to predict toxicity – Assessing confidence by characterising uncertainties
title_short A scheme to evaluate structural alerts to predict toxicity – Assessing confidence by characterising uncertainties
title_sort scheme to evaluate structural alerts to predict toxicity – assessing confidence by characterising uncertainties
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585125/
https://www.ncbi.nlm.nih.gov/pubmed/36041585
http://dx.doi.org/10.1016/j.yrtph.2022.105249
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