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Novel Consensus Architecture To Improve Performance of Large-Scale Multitask Deep Learning QSAR Models.
Zakharov, Alexey V; Zhao, Tongan; Nguyen, Dac-Trung; Peryea, Tyler; Sheils, Timothy; Yasgar, Adam; Huang, Ruili; Southall, Noel; Simeonov, Anton.
Afiliação
  • Zakharov AV; National Center for Advancing Translational Sciences (NCATS) , National Institutes of Health , 9800 Medical Center Drive , Rockville , Maryland 20850 , United States.
  • Zhao T; National Center for Advancing Translational Sciences (NCATS) , National Institutes of Health , 9800 Medical Center Drive , Rockville , Maryland 20850 , United States.
  • Nguyen DT; National Center for Advancing Translational Sciences (NCATS) , National Institutes of Health , 9800 Medical Center Drive , Rockville , Maryland 20850 , United States.
  • Peryea T; National Center for Advancing Translational Sciences (NCATS) , National Institutes of Health , 9800 Medical Center Drive , Rockville , Maryland 20850 , United States.
  • Sheils T; National Center for Advancing Translational Sciences (NCATS) , National Institutes of Health , 9800 Medical Center Drive , Rockville , Maryland 20850 , United States.
  • Yasgar A; National Center for Advancing Translational Sciences (NCATS) , National Institutes of Health , 9800 Medical Center Drive , Rockville , Maryland 20850 , United States.
  • Huang R; National Center for Advancing Translational Sciences (NCATS) , National Institutes of Health , 9800 Medical Center Drive , Rockville , Maryland 20850 , United States.
  • Southall N; National Center for Advancing Translational Sciences (NCATS) , National Institutes of Health , 9800 Medical Center Drive , Rockville , Maryland 20850 , United States.
  • Simeonov A; National Center for Advancing Translational Sciences (NCATS) , National Institutes of Health , 9800 Medical Center Drive , Rockville , Maryland 20850 , United States.
J Chem Inf Model ; 59(11): 4613-4624, 2019 11 25.
Article em En | MEDLINE | ID: mdl-31584270
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Relação Quantitativa Estrutura-Atividade / Descoberta de Drogas / Aprendizado Profundo Idioma: En Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Relação Quantitativa Estrutura-Atividade / Descoberta de Drogas / Aprendizado Profundo Idioma: En Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos