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Towards a Better Understanding of Computational Models for Predicting DNA Methylation Effects at the Molecular Level.
Proctor, Nathanael K; Ertan-Bolelli, Tugba; Bolelli, Kayhan; Taylor, Ethan W; Chiu, Norman H L; Bowen, J Phillip.
Afiliación
  • Proctor NK; Department of Chemistry & Biochemistry, University of North Carolina Greensboro, Greensboro, NC 27402, United States.
  • Ertan-Bolelli T; Department of Pharmaceutical Sciences, College of Pharmacy, Mercer University, Atlanta, GA 30341, United States.
  • Bolelli K; Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Ankara University, Ankara, TR 06560, Turkey.
  • Taylor EW; Department of Pharmaceutical Sciences, College of Pharmacy, Mercer University, Atlanta, GA 30341, United States.
  • Chiu NHL; Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Ankara University, Ankara, TR 06560, Turkey.
  • Bowen JP; LumiLabs LLC, Ulus, Ankara, TR 06050, Turkey.
Curr Top Med Chem ; 20(10): 901-909, 2020.
Article en En | MEDLINE | ID: mdl-32101127
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: ADN Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Curr Top Med Chem Asunto de la revista: QUIMICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: ADN Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Curr Top Med Chem Asunto de la revista: QUIMICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos