Evidence map›Paper›PMID 37973972›Full record

ArticleNature methods2024

Improving resolution and resolvability of single-particle cryoEM structures using Gaussian mixture models.

Muyuan Chen, Michael F Schmid, Wah Chiu

Abstract read
In one paragraph

Article in Nature methods, 2024. 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. Article
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  8. Subspace Method of Moments forSIAM journal on imaging sciences · 2026
    Article
  9. Article
  10. Structural dynamics of mitochondrial ATP synthase inbioRxiv : the preprint server for biology · 2025
    Article
  11. Efficient high-resolution refinement in cryo-EM with stochastic gradient descent.Acta crystallographica. Section D, Structural biology · 2025
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
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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

3 authors.

Muyuan ChenDivision of CryoEM and Bioimaging, SSRL, SLAC National Accelerator Laboratory, Stanford University, Menlo Park, CA, USA. muyuanc@stanford.edu.ORCID http://orcid.org/0000-0003-1311-7868
Michael F SchmidDivision of CryoEM and Bioimaging, SSRL, SLAC National Accelerator Laboratory, Stanford University, Menlo Park, CA, USA.ORCID http://orcid.org/0000-0003-1077-5750
Wah ChiuDivision of CryoEM and Bioimaging, SSRL, SLAC National Accelerator Laboratory, Stanford University, Menlo Park, CA, USA.ORCID http://orcid.org/0000-0002-8910-3078

Funding

Mechanisms of CLC Transporters and Channels:R01GM113195 · NIGMS · STANFORD UNIVERSITY · PI MADUKE, MERRITT C · 2016 to 2024
$4.0M
Comprehensive analysis of macromolecule structural variability in CryoEM/CryoETR01GM150905 · NIGMS · STANFORD UNIVERSITY · PI Muyuan Chen · 2023 to 2026
$1.5M
Determining structure and organization of neurofilaments in situ using cryo-electron tomographyR21MH125285 · NIMH · STANFORD UNIVERSITY · PI CHEN, MUYUAN · 2021 to 2022
$425k
NIGMS NIH HHS R01 GM113195NIGMS NIH HHS R01 GM150905NIMH NIH HHS R21 MH125285
6 · The paper itself

Abstract

Cryogenic electron microscopy is widely used in structural biology, but its resolution is often limited by the dynamics of the macromolecule. Here we developed a refinement protocol based on Gaussian mixture models that integrates particle orientation and conformation estimation and improves the alignment for flexible domains of protein structures. We demonstrated this protocol on multiple datasets, resulting in improved resolution and resolvability, locally and globally, by visual and quantitative measures.

Indexed as

ProteinsCryoelectron MicroscopyMacromolecular SubstancesProtein ConformationMacromolecular SubstancesProteins

Identifiers

PMID37973972
PMCPMC10860619

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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.