Integration of in silico methods and computational systems biology to explore endocrine-disrupting chemical binding with nuclear hormone receptors.

Ruiz, P; Sack, A; Wampole, M; Bobst, S; Vracko, M

Ruiz, P; Sack, A; Wampole, M; Bobst, S; Vracko, M.

Afiliación

Ruiz P; Computational Toxicology and Methods Development Laboratory, Division of Toxicology and Human Health Sciences, Agency for Toxic Substances and Disease Registry, Atlanta, GA, USA. Electronic address: pruiz@cdc.gov.
Sack A; Computational Toxicology and Methods Development Laboratory, Division of Toxicology and Human Health Sciences, Agency for Toxic Substances and Disease Registry, Atlanta, GA, USA.
Wampole M; Thomson Reuters, Philadelphia, PA, USA.
Bobst S; ToxSci Advisors, Houston, TX, USA.
Vracko M; Kemijski Institut/National Institute of Chemistry, Hajdrihova 19, 1000, Ljubljana, Slovenia.

Chemosphere ; 178: 99-109, 2017 Jul.

Article en En | MEDLINE | ID: mdl-28319747

Asunto(s)

Simulación por Computador; Disruptores Endocrinos/metabolismo; Sistema Endocrino/metabolismo; Receptores Androgénicos/metabolismo; Receptores de Estrógenos/metabolismo; Biología de Sistemas/métodos; Humanos; Unión Proteica

Palabras clave

Androgen receptor; Developmental toxicity; Estrogen receptor; In silico metabolism; Pesticides; QSAR; Systems biology

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Simulación por Computador / Receptores Androgénicos / Receptores de Estrógenos / Biología de Sistemas / Sistema Endocrino / Disruptores Endocrinos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Chemosphere Año: 2017 Tipo del documento: Article Pais de publicación: Reino Unido

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