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Mechanism-Based QSAR Modeling of Skin Sensitization.
Dearden, J C; Hewitt, M; Roberts, D W; Enoch, S J; Rowe, P H; Przybylak, K R; Vaughan-Williams, G D; Smith, M L; Pillai, G G; Katritzky, A R.
Afiliação
  • Dearden JC; School of Pharmacy & Biomolecular Sciences, Liverpool John Moores University , Byrom Street, Liverpool L3 3AF, United Kingdom.
  • Hewitt M; School of Pharmacy, University of Wolverhampton , Wulfruna Street, Wolverhampton WV1 1LY, United Kingdom.
  • Roberts DW; School of Pharmacy & Biomolecular Sciences, Liverpool John Moores University , Byrom Street, Liverpool L3 3AF, United Kingdom.
  • Enoch SJ; School of Pharmacy & Biomolecular Sciences, Liverpool John Moores University , Byrom Street, Liverpool L3 3AF, United Kingdom.
  • Rowe PH; School of Pharmacy & Biomolecular Sciences, Liverpool John Moores University , Byrom Street, Liverpool L3 3AF, United Kingdom.
  • Przybylak KR; School of Pharmacy & Biomolecular Sciences, Liverpool John Moores University , Byrom Street, Liverpool L3 3AF, United Kingdom.
  • Vaughan-Williams GD; School of Pharmacy & Biomolecular Sciences, Liverpool John Moores University , Byrom Street, Liverpool L3 3AF, United Kingdom.
  • Smith ML; School of Pharmacy & Biomolecular Sciences, Liverpool John Moores University , Byrom Street, Liverpool L3 3AF, United Kingdom.
  • Pillai GG; Department of Chemistry, University of Florida , Gainsville, Florida 32611-7200, United States.
  • Katritzky AR; Institute of Chemistry, University of Tartu , 50411 Tartu, Estonia.
Chem Res Toxicol ; 28(10): 1975-86, 2015 Oct 19.
Article em En | MEDLINE | ID: mdl-26382665
Many chemicals can induce skin sensitization, and there is a pressing need for non-animal methods to give a quantitative indication of potency. Using two large published data sets of skin sensitizers, we have allocated each sensitizing chemical to one of 10 mechanistic categories and then developed good QSAR models for the seven categories that have a sufficient number of chemicals to allow modeling. Both internal and external validation checks showed that each model had good predictivity.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Relação Quantitativa Estrutura-Atividade / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Chem Res Toxicol Assunto da revista: TOXICOLOGIA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Relação Quantitativa Estrutura-Atividade / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Chem Res Toxicol Assunto da revista: TOXICOLOGIA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Reino Unido