Evidence map›Paper›PMID 37216343›Full record

ArticlePLoS computational biology2023

Fast and versatile sequence-independent protein docking for nanomaterials design using RPXDock.

William Sheffler, Erin C Yang, Quinton Dowling, Yang Hsia, Chelsea N Fries, Jenna Stanislaw, Mark D Langowski, Marisa Brandys, Zhe Li, Rebecca Skotheim and 4 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Chemical reviews · 2026
    Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. 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
  7. Article
  8. Article
  9. Article
  10. Custom protein nanoparticles for targeted drug delivery.Nature structural & molecular biology · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Rapid and automated design of two-component protein nanomaterials using ProteinMPNN.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Research square · 2023
    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

14 authors.

William ShefflerInstitute for Protein Design, University of Washington, Seattle, Washington, United States of America.
Erin C YangInstitute for Protein Design, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-1305-9066
Quinton DowlingInstitute for Protein Design, University of Washington, Seattle, Washington, United States of America.
Yang HsiaInstitute for Protein Design, University of Washington, Seattle, Washington, United States of America.
Chelsea N FriesInstitute for Protein Design, University of Washington, Seattle, Washington, United States of America.
Jenna StanislawInstitute for Protein Design, University of Washington, Seattle, Washington, United States of America.
Mark D LangowskiInstitute for Protein Design, University of Washington, Seattle, Washington, United States of America.
Marisa BrandysInstitute for Protein Design, University of Washington, Seattle, Washington, United States of America.
Zhe LiInstitute for Protein Design, University of Washington, Seattle, Washington, United States of America.
Rebecca SkotheimInstitute for Protein Design, University of Washington, Seattle, Washington, United States of America.
Andrew J BorstInstitute for Protein Design, University of Washington, Seattle, Washington, United States of America.
Alena KhmelinskaiaInstitute for Protein Design, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0003-1584-9800
Neil P KingInstitute for Protein Design, University of Washington, Seattle, Washington, United States of America.
David BakerInstitute for Protein Design, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0001-7896-6217

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
Structure-based design of broadly protective coronavirus vaccinesP01AI167966 · NIAID · UNIVERSITY OF WASHINGTON · PI BALI PULENDRAN · 2022 to 2026
$15.3M
Virus TransmissionP50AI150464 · NIAID · UNIVERSITY OF UTAH · PI HILL, CHRISTOPHER P. · 2019 to 2021
$14.9M
NIAID NIH HHS P01 AI167966NIAID NIH HHS P50 AI150464NIAID NIH HHS U54 AI170856
6 · The paper itself

Abstract

Computationally designed multi-subunit assemblies have shown considerable promise for a variety of applications, including a new generation of potent vaccines. One of the major routes to such materials is rigid body sequence-independent docking of cyclic oligomers into architectures with point group or lattice symmetries. Current methods for docking and designing such assemblies are tailored to specific classes of symmetry and are difficult to modify for novel applications. Here we describe RPXDock, a fast, flexible, and modular software package for sequence-independent rigid-body protein docking across a wide range of symmetric architectures that is easily customizable for further development. RPXDock uses an efficient hierarchical search and a residue-pair transform (RPX) scoring method to rapidly search through multidimensional docking space. We describe the structure of the software, provide practical guidelines for its use, and describe the available functionalities including a variety of score functions and filtering tools that can be used to guide and refine docking results towards desired configurations.

Indexed as

AlgorithmsNanostructuresMolecular Docking SimulationProtein BindingProtein ConformationProteinsSoftwareProteins

Identifiers

PMID37216343
PMCPMC10237659

What OpenQuestion 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 OpenQuestion graph.