Evidence map›Paper›PMID 40674483›Full record

ArticleScience (New York, N.Y.)2025

Design of intrinsically disordered region binding proteins.

Kejia Wu, Hanlun Jiang, Derrick R Hicks, Caixuan Liu, Edin Muratspahić, Theresa A Ramelot, Yuexuan Liu, Kerrie McNally, Sebastian Kenny, Andrei Mihut and 19 more

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Structure and molecular function of the BCL7 proteins.Biochemical Society transactions · 2026
    Review
  15. amyloid-predict and LLPS-predict: Predicting phase separation propensities in the intrinsically disordered proteome.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  16. Sketching microprotein portraits.Protein science : a publication of the Protein Society · 2026
    Review
  17. Protein design and RNA design: Perspectives.Quantitative biology (Beijing, China) · 2026
    Article
  18. Review
  19. Protein foundation models: a comprehensive survey.Science China. Life sciences · 2026
    Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors.

Kejia Wu *Department of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-4532-4290
Hanlun Jiang *Department of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-4649-1584
Derrick R Hicks *Department of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0003-2950-1848
Caixuan LiuDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Edin MuratspahićDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Theresa A RamelotDepartment of Chemistry and Chemical Biology, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, USA.ORCID 0000-0002-0335-1573
Yuexuan LiuDepartment of Chemistry, University of Washington, Seattle, WA, USA.
Kerrie McNallyMRC Laboratory of Molecular Biology, Cambridge, CB2 0QH, UK.ORCID 0000-0003-2376-3003
Sebastian KennyDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0003-3541-2577
Andrei MihutMRC Laboratory of Molecular Biology, Cambridge, CB2 0QH, UK.ORCID 0000-0003-4241-2567
Amit GaurDepartment of Chemistry and Chemical Biology, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, USA.
Brian CoventryDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-6910-6255
Wei ChenDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-5255-4166
Asim K BeraDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-9473-2912
Alex KangDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-5487-0499
Stacey GerbenDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0003-0313-6248
Mila Ya-Lan LambDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-7318-1805
Analisa MurrayDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0003-1560-6673
Xinting LiDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-5559-7578
Madison A KennedyDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0003-3422-9172
Wei YangDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Zihao SongDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Gudrun SchoberVisceral Pain Research Group, Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute (SAHMRI), North Terrace, Adelaide, South Australia, Australia.
Stuart M BrierleyVisceral Pain Research Group, Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute (SAHMRI), North Terrace, Adelaide, South Australia, Australia.ORCID 0000-0002-2527-2905
John O'NeillMRC Laboratory of Molecular Biology, Cambridge, CB2 0QH, UK.ORCID 0000-0003-2204-6096
Michael H GelbDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-7000-5219
Gaetano T MontelioneDepartment of Chemistry and Chemical Biology, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, USA.ORCID 0000-0002-9440-3059
Emmanuel DeriveryMRC Laboratory of Molecular Biology, Cambridge, CB2 0QH, UK.ORCID 0000-0003-3927-5944
David BakerDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-7896-6217

Funding

X-ray Scattering Technology CoreP30GM133893 · NIGMS · BROOKHAVEN SCIENCE ASSOC-BROOKHAVEN LAB · PI Sean McSweeney · 2019 to 2026
$38.6M
Project 4: Novel reagent development to enable molecular characterizationU19AG065156 · NIA · UNIVERSITY OF WASHINGTON · PI MONTINE, THOMAS J · 2020 to 2024
$15.9M
Hybrid Methods for Dynamic Structure Analysis of Proteins from Pathogenic MicroorganismsR35GM141818 · NIGMS · RENSSELAER POLYTECHNIC INSTITUTE · PI MONTELIONE, GAETANO T · 2021 to 2025
$3.3M
Regional 800 MHz NMR System UpgradeS10OD030482 · OD · RENSSELAER POLYTECHNIC INSTITUTE · PI MONTELIONE, GAETANO T · 2021 to 2021
$1.3M
Bill & Melinda Gates Foundation INV-010680NIA NIH HHS U19 AG065156NIGMS NIH HHS P30 GM133893NIGMS NIH HHS R35 GM141818NIH HHS S10 OD030482Wellcome Trust
6 · The paper itself

Abstract

Intrinsically disordered proteins and peptides play key roles in biology, but a lack of defined structures and high variability in sequence and conformational preferences have made targeting such systems challenging. We describe a general approach for designing proteins that bind intrinsically disordered protein regions in diverse extended conformations with side chains fitting into complementary binding pockets. We used the approach to design binders for 39 highly diverse unstructured targets, including polar targets, and obtained designs with 100-picomolar to 100-nanomolar affinities in 34 cases, testing ~22 designs per target. The designs function in cells and as detection reagents and are specific for their intended targets in all-by-all binding experiments. Our approach is a major step toward a general solution to the intrinsically disordered protein and peptide recognition problem.

Indexed as

Intrinsically Disordered ProteinsProtein EngineeringBinding SitesHumansModels, MolecularPeptidesProtein BindingProtein ConformationIntrinsically Disordered ProteinsPeptides

Identifiers

PMID40674483
PMCPMC12949689

What Socratic holds

Textmetadata
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 Socratic graph.