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Deploying synthetic coevolution and machine learning to engineer protein-protein interactions.
Yang, Aerin; Jude, Kevin M; Lai, Ben; Minot, Mason; Kocyla, Anna M; Glassman, Caleb R; Nishimiya, Daisuke; Kim, Yoon Seok; Reddy, Sai T; Khan, Aly A; Garcia, K Christopher.
Afiliação
  • Yang A; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Jude KM; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Lai B; Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Minot M; Toyota Technological Institute at Chicago, Chicago, IL 60637, USA.
  • Kocyla AM; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Glassman CR; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Nishimiya D; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Kim YS; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Reddy ST; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Khan AA; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Garcia KC; Toyota Technological Institute at Chicago, Chicago, IL 60637, USA.
Science ; 381(6656): eadh1720, 2023 07 28.
Article em En | MEDLINE | ID: mdl-37499032
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas / Evolução Molecular Direcionada / Domínios e Motivos de Interação entre Proteínas Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas / Evolução Molecular Direcionada / Domínios e Motivos de Interação entre Proteínas Idioma: En Ano de publicação: 2023 Tipo de documento: Article