Journal

ACS synthetic biology
ISSN: 2161-5063
Titre abrégé: ACS Synth Biol
Pays: United States
ID NLM: 101575075

Informations de publication

Date de publication:
20 08 2021
Historique:
pubmed: 10 8 2021
medline: 18 1 2022
entrez: 9 8 2021
Statut: ppublish

Résumé

The genetic encoding of artificial enzymes represents a substantial advantage relative to traditional molecular catalyst optimization, as laboratory-based directed evolution coupled with high-throughput screening methods can provide rapid development and functional characterization of enzyme libraries. However, these techniques have been of limited utility in the field of artificial metalloenzymes due to the need for

Identifiants

pubmed: 34370434
doi: 10.1021/acssynbio.1c00177
doi:

Substances chimiques

Rubredoxins 0
Hydrogen 7YNJ3PO35Z
Hydrogenase EC 1.12.7.2

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

2116-2120

Auteurs

Kassandra J Naughton (KJ)

Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.

Regina E Treviño (RE)

Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.

Peter J Moore (PJ)

Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.

Ashlee E Wertz (AE)

Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.

J Alex Dickson (JA)

Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.

Hannah S Shafaat (HS)

Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.

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Classifications MeSH