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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.
Afiliação
  • Cronin MTD; School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom Street, Liverpool, L3 3AF, UK.
  • Bauer FJ; KREATiS SAS, 23 rue du Creuzat, ZAC de St-Hubert, 38080, L'Isle d'Abeau, France.
  • Bonnell M; Science and Risk Assessment Directorate, Environment & Climate Change Canada, 351 St. Joseph Blvd, Gatineau, Quebec, K1A 0H3, Canada.
  • Campos B; Safety and Environmental Assurance Centre, Unilever, Colworth Science Park, Bedfordshire, MK44 1LQ, UK.
  • Ebbrell DJ; School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom Street, Liverpool, L3 3AF, UK.
  • Firman JW; School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom Street, Liverpool, L3 3AF, UK.
  • Gutsell S; Safety and Environmental Assurance Centre, Unilever, Colworth Science Park, Bedfordshire, MK44 1LQ, UK.
  • Hodges G; Safety and Environmental Assurance Centre, Unilever, Colworth Science Park, Bedfordshire, MK44 1LQ, UK.
  • Patlewicz G; Center for Computational Toxicology and Exposure (CCTE), US Environmental Protection Agency, 109 TW Alexander Dr, RTP, NC, 27709, USA.
  • Sapounidou M; School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom Street, Liverpool, L3 3AF, UK.
  • Spînu N; School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom Street, Liverpool, L3 3AF, UK.
  • Thomas PC; KREATiS SAS, 23 rue du Creuzat, ZAC de St-Hubert, 38080, L'Isle d'Abeau, France.
  • Worth AP; European Commission, Joint Research Centre (JRC), Ispra, Italy. Electronic address: Andrew.Worth@ec.europa.eu.
Regul Toxicol Pharmacol ; 135: 105249, 2022 Nov.
Article em En | MEDLINE | ID: mdl-36041585
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Incerteza Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Regul Toxicol Pharmacol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Incerteza Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Regul Toxicol Pharmacol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido