Evidence map›Paper›PMID 37845322›Full record

ArticleNature materials2023

Accurate computational design of three-dimensional protein crystals.

Zhe Li, Shunzhi Wang, Una Nattermann, Asim K Bera, Andrew J Borst, Muammer Y Yaman, Matthew J Bick, Erin C Yang, William Sheffler, Byeongdu Lee and 21 more

Abstract read
In one paragraph

Article in Nature materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Chemical reviews · 2026
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Inverse Design of DNA-Programmable Protein Colloidal Crystals.Journal of the American Chemical Society · 2025
    Article
  15. Article
  16. Article
  17. Measuring multisubunit mechanics of geometrically programmed colloidal assemblies via cryo-EM multi-body refinement.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  18. Review
  19. Designing the Self-Assembly of Disordered Materials Via Color Frustration.Advanced materials (Deerfield Beach, Fla.) · 2025
    Article
  20. Making and Breaking Supramolecular Synthons for Modular Protein Frameworks.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors.

Zhe Li *Department of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-9402-4940
Shunzhi Wang *Department of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-5033-7478
Una Nattermann *Department of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-7837-7113
Asim K BeraDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-9473-2912
Andrew J BorstDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0003-4297-7824
Muammer Y YamanDepartment of Chemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-9146-8105
Matthew J BickDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Erin C YangDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-1305-9066
William ShefflerDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Byeongdu LeeX-Ray Science Division, Advanced Photon Source, Argonne National Laboratory, Argonne, IL, USA.ORCID 0000-0003-2514-8805
Soenke SeifertX-Ray Science Division, Advanced Photon Source, Argonne National Laboratory, Argonne, IL, USA.
Greg L HuraMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Hannah NguyenDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-9696-4004
Alex KangDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Radhika DalalDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-7128-5635
Joshua M LubnerDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0003-1506-0949
Yang HsiaDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-7467-8373
Hugh HaddoxDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Alexis CourbetDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0003-0539-7011
Quinton DowlingDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Marcos MirandaDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-2839-6997
Andrew FavorInstitute for Protein Design, University of Washington, Seattle, WA, USA.ORCID 0000-0002-9977-2785
Ali EtemadiInstitute for Protein Design, University of Washington, Seattle, WA, USA.ORCID 0000-0002-1586-4202
Natasha I EdmanDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-7315-7127
Wei YangDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Connor WeidleDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Banumathi SankaranMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID 0000-0002-3266-8131
Babak NegahdariMedical Biotechnology Department, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Michael B RossDepartment of Chemistry, University of Massachusetts Lowell, Lowell, MA, USA.ORCID 0000-0002-2511-0594
David S GingerDepartment of Chemistry, University of Washington, Seattle, WA, USA.
David BakerDepartment of Biochemistry, University of Washington, Seattle, WA, USA. dabaker@uw.edu.ORCID 0000-0001-7896-6217

Funding

Pacific Northwest Center for Cryo-EM - Screening supplementU24GM129547 · NIGMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI EVANS, JAMES E, GOUAUX, JAMES E · 2018 to 2023
$54.8M
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
SPARX--AUTOMATED SINGLE PARTICLE RECONSTRUCTION SOFTWAREP01GM064692 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI CHIU, WAH · 2003 to 2007
$8.7M
Howard Hughes Medical InstituteNIGMS NIH HHS P01 GM064692NIGMS NIH HHS P30 GM124165NIGMS NIH HHS P30 GM124169NIGMS NIH HHS T32 GM007270NIGMS NIH HHS U24 GM129547
6 · The paper itself

Abstract

Protein crystallization plays a central role in structural biology. Despite this, the process of crystallization remains poorly understood and highly empirical, with crystal contacts, lattice packing arrangements and space group preferences being largely unpredictable. Programming protein crystallization through precisely engineered side-chain-side-chain interactions across protein-protein interfaces is an outstanding challenge. Here we develop a general computational approach for designing three-dimensional protein crystals with prespecified lattice architectures at atomic accuracy that hierarchically constrains the overall number of degrees of freedom of the system. We design three pairs of oligomers that can be individually purified, and upon mixing, spontaneously self-assemble into >100 µm three-dimensional crystals. The structures of these crystals are nearly identical to the computational design models, closely corresponding in both overall architecture and the specific protein-protein interactions. The dimensions of the crystal unit cell can be systematically redesigned while retaining the space group symmetry and overall architecture, and the crystals are extremely porous and highly stable. Our approach enables the computational design of protein crystals with high accuracy, and the designed protein crystals, which have both structural and assembly information encoded in their primary sequences, provide a powerful platform for biological materials engineering.

Indexed as

ProteinsCrystallizationProteins

Identifiers

PMID37845322
PMCPMC12253981

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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.