Evidence map›Paper›PMID 36888664›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Improving the secretion of designed protein assemblies through negative design of cryptic transmembrane domains.

Jing Yang John Wang, Alena Khmelinskaia, William Sheffler, Marcos C Miranda, Aleksandar Antanasijevic, Andrew J Borst, Susana V Torres, Chelsea Shu, Yang Hsia, Una Nattermann and 16 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Chemical reviews · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. From sequence to scaffold: Computational design of protein nanoparticle vaccines from AlphaFold2-predicted building blocks.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Flexing protein assemblies.Nature structural & molecular biology · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. 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

26 authors.

Jing Yang John WangDepartment of Biochemistry, University of Washington, Seattle, WA 98195.ORCID 0000-0002-1511-6976
Alena KhmelinskaiaDepartment of Biochemistry, University of Washington, Seattle, WA 98195.
William ShefflerDepartment of Biochemistry, University of Washington, Seattle, WA 98195.
Marcos C MirandaDepartment of Biochemistry, University of Washington, Seattle, WA 98195.
Aleksandar AntanasijevicDepartment of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037.
Andrew J BorstDepartment of Biochemistry, University of Washington, Seattle, WA 98195.ORCID 0000-0003-4297-7824
Susana V TorresDepartment of Biochemistry, University of Washington, Seattle, WA 98195.ORCID 0000-0001-8226-8227
Chelsea ShuDepartment of Biochemistry, University of Washington, Seattle, WA 98195.
Yang HsiaDepartment of Biochemistry, University of Washington, Seattle, WA 98195.ORCID 0000-0001-7467-8373
Una NattermannDepartment of Biochemistry, University of Washington, Seattle, WA 98195.
Daniel EllisDepartment of Biochemistry, University of Washington, Seattle, WA 98195.
Carl WalkeyDepartment of Biochemistry, University of Washington, Seattle, WA 98195.
Maggie AhlrichsDepartment of Biochemistry, University of Washington, Seattle, WA 98195.
Sidney ChanDepartment of Biochemistry, University of Washington, Seattle, WA 98195.ORCID 0000-0002-1617-0464
Alex KangDepartment of Biochemistry, University of Washington, Seattle, WA 98195.ORCID 0000-0001-5487-0499
Hannah NguyenDepartment of Biochemistry, University of Washington, Seattle, WA 98195.ORCID 0000-0001-9696-4004
Claire SydemanDepartment of Biochemistry, University of Washington, Seattle, WA 98195.
Banumathi SankaranMolecular Biophysics and Integrated Bioimaging, Lawrence Berkeley Laboratory, Berkeley, CA 94720.
Mengyu WuDepartment of Biochemistry, University of Washington, Seattle, WA 98195.
Asim K BeraDepartment of Biochemistry, University of Washington, Seattle, WA 98195.
Lauren CarterDepartment of Biochemistry, University of Washington, Seattle, WA 98195.ORCID 0000-0002-9837-9068
Brooke FialaDepartment of Biochemistry, University of Washington, Seattle, WA 98195.ORCID 0000-0003-0148-5268
Michael MurphyDepartment of Biochemistry, University of Washington, Seattle, WA 98195.
David BakerDepartment of Biochemistry, University of Washington, Seattle, WA 98195.ORCID 0000-0001-7896-6217
Andrew B WardDepartment of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037.ORCID 0000-0001-7153-3769
Neil P KingDepartment of Biochemistry, University of Washington, Seattle, WA 98195.ORCID 0000-0002-2978-4692

Funding

CHEETAH Center for the Structural Biology of HIV Infection, Restriction, and Viral DynamicsU54AI170856 · NIAID · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI WALTHER H MOTHES · 2022 to 2026
$34.4M
User Training and OutreachP30GM124165 · NIGMS · CORNELL UNIVERSITY · PI STEVEN E EALICK · 2018 to 2026
$34.2M
User Training and OutreachP30GM124169 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI Gregory L Hura · 2017 to 2026
$28.6M
TRAINING IN MOLECULAR AND CELLULAR BIOLOGYT32GM007270 · NIGMS · UNIVERSITY OF WASHINGTON · PI RAIBLE, DAVID W · 1985 to 2020
$21.0M
Virus TransmissionP50AI150464 · NIAID · UNIVERSITY OF UTAH · PI HILL, CHRISTOPHER P. · 2019 to 2021
$14.9M
Resource for Biocomputing Visualization and InformaticsP41GM103311 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2012 to 2017
$8.2M
ChimeraX -- Next Generation Visualization and Analysis Software for Multiscale ModelingR01GM129325 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2018 to 2025
$5.2M
A Pixel Array Detector System for Small Angle X-ray ScatteringS10OD018483 · OD · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI CLASSEN, SCOTT · 2014 to 2014
$998k
NIAID NIH HHS P50 AI150464NIAID NIH HHS U54 AI170856NIGMS NIH HHS P30 GM124165NIGMS NIH HHS P30 GM124169NIGMS NIH HHS P41 GM103311NIGMS NIH HHS R01 GM129325NIGMS NIH HHS T32 GM007270NIH HHS S10 OD018483
6 · The paper itself

Abstract

Computationally designed protein nanoparticles have recently emerged as a promising platform for the development of new vaccines and biologics. For many applications, secretion of designed nanoparticles from eukaryotic cells would be advantageous, but in practice, they often secrete poorly. Here we show that designed hydrophobic interfaces that drive nanoparticle assembly are often predicted to form cryptic transmembrane domains, suggesting that interaction with the membrane insertion machinery could limit efficient secretion. We develop a general computational protocol, the Degreaser, to design away cryptic transmembrane domains without sacrificing protein stability. The retroactive application of the Degreaser to previously designed nanoparticle components and nanoparticles considerably improves secretion, and modular integration of the Degreaser into design pipelines results in new nanoparticles that secrete as robustly as naturally occurring protein assemblies. Both the Degreaser protocol and the nanoparticles we describe may be broadly useful in biotechnological applications.

Indexed as

NanoparticlesVaccinesProteinsProteinsVaccinesbiochemistrynanoparticlesprotein design

Identifiers

PMID36888664
PMCPMC10089191

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.