Evidence map›Paper›PMID 40745094›Full record

ArticleNature materials2025

Computational design of bifaceted protein nanomaterials.

Sanela Rankovic, Kenneth D Carr, Justin Decarreau, Rebecca Skotheim, Ryan D Kibler, Sebastian Ols, Sangmin Lee, Jung-Ho Chun, Marti R Tooley, Justas Dauparas and 6 more

Abstract read
In one paragraph

Article in Nature materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. A Generative Neuro-Symbolic AI for Protein Sequence Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Sanela RankovicDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-9448-6037
Kenneth D CarrDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0009-0005-1929-3952
Justin DecarreauDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Rebecca SkotheimDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Ryan D KiblerDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-6984-9887
Sebastian OlsDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-9784-7176
Sangmin LeeDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-1145-4708
Jung-Ho ChunDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0003-4778-4175
Marti R TooleyDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-8301-0866
Justas DauparasDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Helen E EisenachDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-3201-4517
Matthias GlöglDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Connor WeidleDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-9354-2276
Andrew J BorstDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0003-4297-7824
David BakerDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-7896-6217
Neil P KingDepartment of Biochemistry, University of Washington, Seattle, WA, USA. neilking@uw.edu.ORCID 0000-0002-2978-4692

Funding

Project 5: mRNA and mRNA-launched nanoparticle vaccinesU19AI181881 · NIAID · UNIVERSITY OF WASHINGTON · PI KING, NEIL, STUART, LYNDA · 2024 to 2024
$41.1M
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
Structure-based design of broadly protective coronavirus vaccinesP01AI167966 · NIAID · UNIVERSITY OF WASHINGTON · PI Neil King, David Veesler · 2022 to 2026
$15.3M
Gates Foundation INV-043758NIAID NIH HHS P01 AI167966NIAID NIH HHS U19 AI181881NIAID NIH HHS U54 AI170856
6 · The paper itself

Abstract

Advances in computational methods have led to considerable progress in the design of protein nanomaterials. However, nearly all nanoparticles designed so far exhibit strict point group symmetry, which limits structural diversity and precludes anisotropic functionalization. Here we describe a computational strategy for designing multicomponent bifaceted protein nanomaterials with two distinctly addressable sides. The method centres on docking pseudosymmetric hetero-oligomeric building blocks in architectures with dihedral symmetry and designing an asymmetric protein-protein interface between them. We obtain an initial 30-subunit assembly with pseudo-D

Indexed as

NanostructuresProteinsModels, MolecularNanoparticlesProteins

Identifiers

PMID40745094
PMCPMC12407187

What Socratic holds

Textmetadata
LicenceCC BY
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.