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Validation of Computational Methods.
Patlewicz, Grace; Worth, Andrew P; Ball, Nicholas.
  • Patlewicz G; Dupont Haskell Global Centers for Health and Environmental Sciences, Newark, DE, 19711, USA. patlewig@hotmail.com.
  • Worth AP; National Center for Computational Toxicology (NCCT), US Environmental Protection Agency (EPA), Research Triangle Park, NC, 27711, USA. patlewig@hotmail.com.
  • Ball N; European Commission, Joint Research Centre (JRC), Ispra, Italy.
Adv Exp Med Biol ; 856: 165-187, 2016.
Article en En | MEDLINE | ID: mdl-27671722
ABSTRACT
In this chapter, we provide an overview of how (Quantitative) Structure Activity Relationships, (Q)SARs, are validated and applied for regulatory purposes. We outline how chemical categories are derived to facilitate endpoint specific read-across using tools such as the OECD QSAR Toolbox and discuss some of the current difficulties in addressing the residual uncertainties of read-across. Finally we put forward a perspective of how non-testing approaches may evolve in light of the advances in new and emerging technologies and how these fit within the Adverse Outcome Pathway (AOP) framework.
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Banco de datos: MEDLINE Asunto principal: Relación Estructura-Actividad Cuantitativa / Estudios de Validación como Asunto Idioma: En Año: 2016 Tipo del documento: Article
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Banco de datos: MEDLINE Asunto principal: Relación Estructura-Actividad Cuantitativa / Estudios de Validación como Asunto Idioma: En Año: 2016 Tipo del documento: Article