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XenoSite server: a web-available site of metabolism prediction tool.
Matlock, Matthew K; Hughes, Tyler B; Swamidass, S Joshua.
Afiliación
  • Matlock MK; Division of Biology and Biological Sciences and Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63130, USA.
  • Hughes TB; Division of Biology and Biological Sciences and Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63130, USA.
  • Swamidass SJ; Division of Biology and Biological Sciences and Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63130, USA.
Bioinformatics ; 31(7): 1136-7, 2015 Apr 01.
Article en En | MEDLINE | ID: mdl-25411327
UNLABELLED: Cytochrome P450 enzymes (P450s) are metabolic enzymes that process the majority of FDA-approved, small-molecule drugs. Understanding how these enzymes modify molecule structure is key to the development of safe, effective drugs. XenoSite server is an online implementation of the XenoSite, a recently published computational model for P450 metabolism. XenoSite predicts which atomic sites of a molecule--sites of metabolism (SOMs)--are modified by P450s. XenoSite server accepts input in common chemical file formats including SDF and SMILES and provides tools for visualizing the likelihood that each atomic site is a site of metabolism for a variety of important P450s, as well as a flat file download of SOM predictions. AVAILABILITY AND IMPLEMENTATION: XenoSite server is available at http://swami.wustl.edu/xenosite.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Xenobióticos / Biología Computacional / Internet / Sistema Enzimático del Citocromo P-450 / Dibenzotiepinas / Redes y Vías Metabólicas Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Xenobióticos / Biología Computacional / Internet / Sistema Enzimático del Citocromo P-450 / Dibenzotiepinas / Redes y Vías Metabólicas Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos