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Predicting new drug indications for prostate cancer: The integration of an in silico proteochemometric network pharmacology platform with patient-derived primary prostate cells.
Naeem, Aisha; Dakshanamurthy, Sivanesan; Walthieu, Henry; Parasido, Erika; Avantaggiati, Maria; Tricoli, Lucas; Kumar, Deepak; Lee, Richard J; Feldman, Adam; Noon, Muhammad S; Byers, Stephen; Rodriguez, Olga; Albanese, Chris.
Afiliación
  • Naeem A; Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC.
  • Dakshanamurthy S; Ministry of Public Health, Doha, Qatar.
  • Walthieu H; Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC.
  • Parasido E; Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC.
  • Avantaggiati M; Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC.
  • Tricoli L; Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC.
  • Kumar D; Julius L. Chambers Biomedical/Biotechnology Research Institute, North Carolina Central University, Durham, North Carolina.
  • Lee RJ; Julius L. Chambers Biomedical/Biotechnology Research Institute, North Carolina Central University, Durham, North Carolina.
  • Feldman A; Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts.
  • Noon MS; Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts.
  • Byers S; Data Science Institute, University of Arizona, Tuscon, Arizona.
  • Rodriguez O; Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC.
  • Albanese C; Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC.
Prostate ; 80(14): 1233-1243, 2020 10.
Article en En | MEDLINE | ID: mdl-32761925
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Reposicionamiento de Medicamentos / Antineoplásicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: Prostate Año: 2020 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Reposicionamiento de Medicamentos / Antineoplásicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: Prostate Año: 2020 Tipo del documento: Article