ArticleNature2023
De novo design of luciferases using deep learning.
Open access · hybridAbstract read
In one paragraph
Article in Nature, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 194 papers.
0numbers the graph read from it
0cells of the map it votes in
194citing papers in PubMed
63.7field-weighted citation impact, top 1% of its field
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
194 citing papers in PubMed, 414 citations in OpenAlex.
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- Emergence of specific binding and catalysis from a designed generalist binding protein.Nature chemistry · 2026Article
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- How far can you go? Extrapolating values of catalytic activity from known protein landscapes in natural and directed evolution.Chemical Society reviews · 2026Review
- Designing the Next Generation of Endolysins: A Triple Strategy Integrating Bioinformatics Mining, Engineering Modification and Encapsulation Formulation.Probiotics and antimicrobial proteins · 2026Review
134 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
18 authors at 4 institutions in 2 countries.
Andy Hsien-Wei Yeh *Department of Biochemistry, University of Washington, Seattle, WA, USA. hsyeh@ucsc.edu.ORCID http://orcid.org/0000-0002-9023-776X
Christoffer Norn *Department of Biochemistry, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-1450-4651
Yakov KipnisDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-3057-4916
Doug TischerDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-3633-5542
Samuel J PellockDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-7557-7985
Declan EvansDepartment of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, USA.
Pengchen MaDepartment of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, USA.
Gyu Rie LeeDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-9119-5303
Jason Z ZhangDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-0091-6273
Ivan AnishchenkoDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-3645-2044
Brian CoventryDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Longxing CaoDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Justas DauparasDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Samer HalabiyaInstitute for Protein Design, University of Washington, Seattle, WA, USA.
Michelle DeWittInstitute for Protein Design, University of Washington, Seattle, WA, USA.
Lauren CarterInstitute for Protein Design, University of Washington, Seattle, WA, USA.
K N HoukDepartment of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-8387-5261
David BakerDepartment of Biochemistry, University of Washington, Seattle, WA, USA. dabaker@uw.edu.ORCID http://orcid.org/0000-0001-7896-6217
University of Washington · USHoward Hughes Medical Institute · USUniversity of California, Los Angeles · USUniversity of California, Santa Cruz · US
Funding
University of Washington Arboviral Research Network (UWARN)U01AI151698 · NIAID · UNIVERSITY OF WASHINGTON · PI Michael Gale, PETER MACGARR RABINOWITZ · 2020 to 2026
$13.3MDe novo design of a generalizable protein biosensor platform for point-of-care testingR00EB031913 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI YEH, HSIEN WEI · 2023 to 2025
$747kDe novo design of a generalizable protein biosensor platform for point-of-care testingK99EB031913 · NIBIB · UNIVERSITY OF WASHINGTON · PI YEH, HSIEN WEI · 2022 to 2022
$80kNIAID NIH HHS U01 AI151698NIBIB NIH HHS K99 EB031913NIBIB NIH HHS R00 EB031913
Abstract
De novo enzyme design has sought to introduce active sites and substrate-binding pockets that are predicted to catalyse a reaction of interest into geometrically compatible native scaffolds
Indexed as
Deep LearningLuciferasesBiocatalysisCatalytic DomainEnzyme StabilityHot TemperatureLuciferinsLuminescenceOxidation-ReductionPhenazinesSubstrate SpecificitydiphenylterazineLuciferasesLuciferinsPhenazines
Identifiers
What OpenQuestion holds
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LicenceCC BY
Read underepoch 390
Registered trials
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.