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Machine learning-aided engineering of hydrolases for PET depolymerization.
Lu, Hongyuan; Diaz, Daniel J; Czarnecki, Natalie J; Zhu, Congzhi; Kim, Wantae; Shroff, Raghav; Acosta, Daniel J; Alexander, Bradley R; Cole, Hannah O; Zhang, Yan; Lynd, Nathaniel A; Ellington, Andrew D; Alper, Hal S.
Afiliación
  • Lu H; McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Diaz DJ; Department of Chemistry, The University of Texas at Austin, Austin, TX, USA.
  • Czarnecki NJ; McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Zhu C; McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Kim W; McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Shroff R; Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA.
  • Acosta DJ; DEVCOM ARL-South, Austin, TX, USA.
  • Alexander BR; Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA.
  • Cole HO; Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA.
  • Zhang Y; McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Lynd NA; Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA.
  • Ellington AD; Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA.
  • Alper HS; McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, USA.
Nature ; 604(7907): 662-667, 2022 04.
Article en En | MEDLINE | ID: mdl-35478237
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Ingeniería de Proteínas / Tereftalatos Polietilenos / Aprendizaje Automático / Hidrolasas Idioma: En Revista: Nature Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Ingeniería de Proteínas / Tereftalatos Polietilenos / Aprendizaje Automático / Hidrolasas Idioma: En Revista: Nature Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos