Evidence map›Paper›PMID 41986695›Full record

ArticleNature biotechnology2026

Artificial allosteric protein switches with machine-learning-designed receptors.

Zhong Guo, Oleh Smutok, Gyu Rie Lee, Zhenling Cui, Haocheng Qianzhu, Monika Kish, Cagla Ergun Ayva, Kejia Wu, Roxane Mutschler, Colin J Jackson and 10 more

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Systematic discovery of circular permutations across the protein universe using CIRPIN.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Review
  5. Article
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Zhong GuoARC Centre of Excellence in Synthetic Biology, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0003-0285-5021
Oleh SmutokDepartment of Chemistry and Biochemistry, Clarkson University, Potsdam, NY, USA.ORCID http://orcid.org/0000-0002-9967-3445
Gyu Rie LeeDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-9119-5303
Zhenling CuiARC Centre of Excellence in Synthetic Biology, Brisbane, Queensland, Australia.
Haocheng QianzhuResearch School of Chemistry, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID http://orcid.org/0000-0002-7546-4411
Monika KishLiving Systems Institute, University of Exeter, Exeter, UK.ORCID http://orcid.org/0000-0002-3661-8641
Cagla Ergun AyvaARC Centre of Excellence in Synthetic Biology, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0003-2995-1777
Kejia WuDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-4532-4290
Roxane MutschlerARC Centre of Excellence in Synthetic Biology, Brisbane, Queensland, Australia.ORCID http://orcid.org/0009-0009-2376-4293
Colin J JacksonARC Centre of Excellence in Synthetic Biology, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0001-6150-3822
Maria M FioritoARC Centre of Excellence in Synthetic Biology, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-8054-0060
Andrew C WardenEnvironment Research Unit, Advanced Engineering Biology Future Science Platform, CSIRO Black Mountain Laboratories, Canberra, Australian Capital Territory, Australia.ORCID http://orcid.org/0000-0003-2683-9798
Oliver B SmithARC Centre of Excellence in Synthetic Biology, Brisbane, Queensland, Australia.ORCID http://orcid.org/0009-0005-6774-5837
Alfredo Quijano-RubioMonod Bio, Seattle, WA, USA.
Thomas HuberResearch School of Chemistry, Australian National University, Canberra, Australian Capital Territory, Australia.
Jonathan J PhillipsLiving Systems Institute, University of Exeter, Exeter, UK.ORCID http://orcid.org/0000-0002-5361-9582
Gottfried OttingARC Centre of Excellence for Innovations in Peptide & Protein Science, Brisbane, Australia.
Evgeny KatzDepartment of Chemistry and Biochemistry, Clarkson University, Potsdam, NY, USA.
David BakerDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-7896-6217
Kirill AlexandrovARC Centre of Excellence in Synthetic Biology, Brisbane, Queensland, Australia. kirill.alexandrov@qut.edu.au.ORCID http://orcid.org/0000-0002-0957-6511

Funding

Department of Education and Training | Australian Research Council (ARC) CE200100029, CE200100012Department of Education and Training | Australian Research Council (ARC) DP230100079, DP240100273National Science Foundation (NSF) CBET-2235349, CBET-2422672National Science Foundation (NSF) CBET-2422672
6 · The paper itself

Abstract

Protein allostery underlies most information and energy processing in biology and the development of artificial allosteric proteins is a key objective of synthetic biology and biotechnology. We show that machine-learning-engineered minimal ligand-binding domains act as efficient receptors in single-component allosteric switches, despite lacking global conformational change. Such colorimetric, luminescent and electrochemical biosensors of small molecules, peptides and proteins can be compiled into intramolecular YES and AND logic gates. Furthermore, we report fully synthetic allosteric switches composed of artificial receptor and reporter domains. Hydrogen/deuterium exchange mass spectrometry and

Identifiers

PMID41986695

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.