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Discovery of New Carbonyl Reductases Using Functional Metagenomics and Applications in Biocatalysis.
Newgas, Sophie A; Jeffries, Jack W E; Moody, Thomas S; Ward, John M; Hailes, Helen C.
Afiliación
  • Newgas SA; Department of Chemistry University College London 20 Gordon Street London WC1H 0AJ U.K.
  • Jeffries JWE; Department of Biochemical Engineering Bernard Katz Building University College London London WC1E 6BT U.K.
  • Moody TS; Almac Sciences Department of Biocatalysis and Isotope Chemistry Almac House, 20 Seagoe Industrial Estate Craigavon BT63 5QD Northern Ireland U.K.
  • Ward JM; Arran Chemical Company Unit1 Monksland Industrial Estate Athlone N37 DN24 Co. Roscommon Ireland.
  • Hailes HC; Department of Biochemical Engineering Bernard Katz Building University College London London WC1E 6BT U.K.
Adv Synth Catal ; 363(12): 3044-3052, 2021 Jun 21.
Article en En | MEDLINE | ID: mdl-34413714
Enzyme discovery for use in the manufacture of chemicals, requiring high stereoselectivities, continues to be an important avenue of research. Here, a sequence directed metagenomics approach is described to identify short chain carbonyl reductases. PCR from a metagenomic template generated 37 enzymes, with an average 25% sequence identity, twelve of which showed interesting activities in initial screens. Six of the most productive enzymes were then tested against a panel of 21 substrates, including bulkier substrates that have been noted as challenging in biocatalytic reductions. Two enzymes were selected for further studies with the Wieland Miescher ketone. Notably, enzyme SDR-17, when co-expressed with a co-factor recycling system produced the anti-(4aR,5S) isomer in excellent isolated yields of 89% and 99% e.e. These results demonstrate the viability of a sequence directed metagenomics approach for the identification of multiple homologous sequences with low similarity, that can yield highly stereoselective enzymes with applicability in industrial biocatalysis.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Adv Synth Catal Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Adv Synth Catal Año: 2021 Tipo del documento: Article