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Deep Learning for Validating and Estimating Resolution of Cryo-Electron Microscopy Density Maps †.
Avramov, Todor Kirilov; Vyenielo, Dan; Gomez-Blanco, Josue; Adinarayanan, Swathi; Vargas, Javier; Si, Dong.
Afiliação
  • Avramov TK; Computing and Software Systems, University of Washington, Bothell, WA 98011, USA. tavramov@uw.edu.
  • Vyenielo D; Computing and Software Systems, University of Washington, Bothell, WA 98011, USA. dvnlo@uw.edu.
  • Gomez-Blanco J; Department of Anatomy and Cell Biology, McGill University, Montreal, QC H3A 0C7, Canada. josue.gomez-blanco@mcgill.ca.
  • Adinarayanan S; Department of Anatomy and Cell Biology, McGill University, Montreal, QC H3A 0C7, Canada. swathi.adinarayanan@mail.mcgill.ca.
  • Vargas J; Department of Anatomy and Cell Biology, McGill University, Montreal, QC H3A 0C7, Canada. javier.vargasbalbuena@mcgill.ca.
  • Si D; Computing and Software Systems, University of Washington, Bothell, WA 98011, USA. dongsi@uw.edu.
Molecules ; 24(6)2019 Mar 26.
Article em En | MEDLINE | ID: mdl-30917528

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas / Imageamento Tridimensional Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas / Imageamento Tridimensional Idioma: En Ano de publicação: 2019 Tipo de documento: Article