Evidence map›Paper›PMID 39636970›Full record

ArticleScience (New York, N.Y.)2024

Target-conditioned diffusion generates potent TNFR superfamily antagonists and agonists.

Matthias Glögl, Aditya Krishnakumar, Robert J Ragotte, Inna Goreshnik, Brian Coventry, Asim K Bera, Alex Kang, Emily Joyce, Green Ahn, Buwei Huang and 5 more

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
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  4. Ensembles ofbioRxiv : the preprint server for biology · 2026
    Article
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  8. Article
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  10. Review
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  12. Article
  13. Review
  14. Review
  15. Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Matthias GlöglDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-7011-8184
Aditya KrishnakumarDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0003-3461-0133
Robert J RagotteDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-6463-1595
Inna GoreshnikDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-9254-9249
Brian CoventryDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-6910-6255
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
Emily JoyceDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0009-0007-3230-1341
Green AhnDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0003-3086-4849
Buwei HuangDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-0762-7178
Wei YangDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Wei ChenDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-5255-4166
Mariana Garcia SanchezDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0009-0002-9194-0251
Brian KoepnickDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-5792-8112
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
Designed Vehicles for Blood Brain Barrier TraversalR01AG063845 · NIA · UNIVERSITY OF WASHINGTON · PI BAKER, DAVID · 2019 to 2023
$2.5M
Howard Hughes Medical InstituteNIA NIH HHS R01 AG063845NIGMS NIH HHS P30 GM133893
6 · The paper itself

Abstract

Despite progress in designing protein-binding proteins, the shape matching of designs to targets is lower than in many native protein complexes, and design efforts have failed for the tumor necrosis factor receptor 1 (TNFR1) and other protein targets with relatively flat and polar surfaces. We hypothesized that free diffusion from random noise could generate shape-matched binders for challenging targets and tested this approach on TNFR1. We obtain designs with low picomolar affinity whose specificity can be completely switched to other family members using partial diffusion. Designs function as antagonists or as superagonists when presented at higher valency for OX40 and 4-1BB. The ability to design high-affinity and high-specificity antagonists and agonists for pharmacologically important targets in silico presages a coming era in protein design in which binders are made by computation rather than immunization or random screening approaches.

Indexed as

Drug DesignReceptors, OX40Receptors, Tumor Necrosis Factor, Type ITumor Necrosis Factor Receptor Superfamily, Member 9HumansProtein BindingReceptors, OX40Receptors, Tumor Necrosis Factor, Type ITNFRSF1A protein, humanTNFRSF4 protein, humanTNFRSF9 protein, humanTumor Necrosis Factor Receptor Superfamily, Member 9

Identifiers

PMID39636970
PMCPMC12416549

What OpenQuestion holds

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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.