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Advances in ultrahigh-throughput screening for directed enzyme evolution

Markel, Ulrich, Essani, Khalil D., Besirlioglu, Volkan, Schiffels, Johannes, Streit, Wolfgang R., Schwaneberg, Ulrich·2020·Chemical Society Reviews
DOI 10.1039/c8cs00981c
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Abstract

This review summarizes how ultrahigh-throughput screening methods employ cells and biomimetic compartments to access the vast, unexplored diversity of biocatalysts with novel functions derived from directed evolution and metagenomics libraries.

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Metadata

Authors
Markel, U., Essani, K. D., Besirlioglu, V., Schiffels, J., Streit, W. R., & Schwaneberg, U.
Venue
Chemical Society Reviews
Publisher
Royal Society of Chemistry (RSC)
Published
2020
Volume
49
Issue
1
Pages
233-262
ISSN
  • 0306-0012 (ISSN-L)
  • 1460-4744
DOI
10.1039/c8cs00981c
OpenAlex
W2992449748
Cited by
258
References
6
FWCI
2.41
Type
journal article
Language
en
Open access
closed
Licence
rsc.li/journals-terms-of-use (am, 343 d)
Funders
  • Bundesministerium für Bildung und Forschung (031A565A, 031A571A, 031B0297, 031B0562B)
  • H2020 Marie Skłodowska-Curie Actions (722287)
  • Deutsche Forschungsgemeinschaft (Selectivity in Chemo- and Biocatalysis (IRTG 1628))

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.