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Simultaneous enhancement of multiple functional properties using evolution-informed protein design.
Fram, Benjamin; Truebridge, Ian; Su, Yang; Riesselman, Adam J; Ingraham, John B; Passera, Alessandro; Napier, Eve; Thadani, Nicole N; Lim, Samuel; Roberts, Kristen; Kaur, Gurleen; Stiffler, Michael; Marks, Debora S; Bahl, Christopher D; Khan, Amir R; Sander, Chris; Gauthier, Nicholas P.
Afiliación
  • Fram B; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Truebridge I; Institute for Protein Innovation, Boston, Massachusetts, Boston, MA, USA.
  • Su Y; Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School; Boston, MA, USA.
  • Riesselman AJ; current address: AI Proteins; Boston, MA, USA.
  • Ingraham JB; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Passera A; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Napier E; Program in Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Thadani NN; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Lim S; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Roberts K; current address: Research Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Campus-Vienna-Biocenter 1, 1030 Vienna, Austria.
  • Kaur G; School of Biochemistry and Immunology, Trinity College Dublin, Dublin 2, Ireland.
  • Stiffler M; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Marks DS; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Bahl CD; Selux Diagnostics, Inc., 56 Roland Street, Charlestown, MA, USA.
  • Khan AR; Selux Diagnostics, Inc., 56 Roland Street, Charlestown, MA, USA.
  • Sander C; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Gauthier NP; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
bioRxiv ; 2023 May 09.
Article en En | MEDLINE | ID: mdl-37214973
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos