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Engineering new catalytic activities in enzymes
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The coming of age of de novo protein design
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Metadata
- Authors
- Chen, K., & Arnold, F. H.
- Venue
- Nature Catalysis
- Published
- 2020-01-20
- Volume
- 3
- Issue
- 3
- Pages
- 203-213
- ISSN
- 2520-1158 (ISSN-L)
- OpenAlex
- W3002774878
- Cited by
- 867
- References
- 2
- FWCI
- 32.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
- Funders
- United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (W911NF-19-2-0026, W911NF-19-D-0001)
- Resnick Sustainability Institute for Science, Energy and Sustainability, California Institute of Technology
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Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Engineering new catalytic activities in enzymes. https://app.cochat.ai/papers/10.1038/s41929-019-0385-5
- The paper
- Chen, K., & Arnold, F. H. (2020). Engineering new catalytic activities in enzymes. Nature Catalysis. https://doi.org/10.1038/s41929-019-0385-5
Data sources
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.