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Using Data Science for Mechanistic Insights and Selectivity Predictions in a Non-Natural Biocatalytic Reaction.
Clements, Hanna D; Flynn, Autumn R; Nicholls, Bryce T; Grosheva, Daria; Lefave, Sarah J; Merriman, Morgan T; Hyster, Todd K; Sigman, Matthew S.
Afiliación
  • Clements HD; Department of Chemistry, University of Utah, 315 South 1400 East, Salt Lake City, Utah 84112, United States.
  • Flynn AR; Department of Chemistry, University of Utah, 315 South 1400 East, Salt Lake City, Utah 84112, United States.
  • Nicholls BT; Department of Chemistry and Chemical Biology, Cornell University, 122 Baker Laboratory, Ithaca, New York 14853, United States.
  • Grosheva D; Department of Chemistry and Chemical Biology, Cornell University, 122 Baker Laboratory, Ithaca, New York 14853, United States.
  • Lefave SJ; Department of Chemistry, University of Utah, 315 South 1400 East, Salt Lake City, Utah 84112, United States.
  • Merriman MT; Department of Chemistry, University of Utah, 315 South 1400 East, Salt Lake City, Utah 84112, United States.
  • Hyster TK; Department of Chemistry and Chemical Biology, Cornell University, 122 Baker Laboratory, Ithaca, New York 14853, United States.
  • Sigman MS; Department of Chemistry, University of Utah, 315 South 1400 East, Salt Lake City, Utah 84112, United States.
J Am Chem Soc ; 145(32): 17656-17664, 2023 08 16.
Article en En | MEDLINE | ID: mdl-37530568
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ciencia de los Datos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Am Chem Soc Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ciencia de los Datos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Am Chem Soc Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos