Your browser doesn't support javascript.
loading
Graph Convolutional Network-Based Screening Strategy for Rapid Identification of SARS-CoV-2 Cell-Entry Inhibitors.
Gao, Peng; Xu, Miao; Zhang, Qi; Chen, Catherine Z; Guo, Hui; Ye, Yihong; Zheng, Wei; Shen, Min.
Afiliación
  • Gao P; The National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Bethesda, Maryland 20850, United States.
  • Xu M; The National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Bethesda, Maryland 20850, United States.
  • Zhang Q; The National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Bethesda, Maryland 20850, United States.
  • Chen CZ; National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, Maryland 20892, United States.
  • Guo H; The National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Bethesda, Maryland 20850, United States.
  • Ye Y; The National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Bethesda, Maryland 20850, United States.
  • Zheng W; National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), Bethesda, Maryland 20892, United States.
  • Shen M; The National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), Bethesda, Maryland 20850, United States.
J Chem Inf Model ; 62(8): 1988-1997, 2022 04 25.
Article en En | MEDLINE | ID: mdl-35404596
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Antivirales / Internalización del Virus / SARS-CoV-2 Tipo de estudio: Diagnostic_studies / Screening_studies Límite: Humans Idioma: En Revista: J Chem Inf Model Asunto de la revista: INFORMATICA MEDICA / QUIMICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Antivirales / Internalización del Virus / SARS-CoV-2 Tipo de estudio: Diagnostic_studies / Screening_studies Límite: Humans Idioma: En Revista: J Chem Inf Model Asunto de la revista: INFORMATICA MEDICA / QUIMICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos