Evidence map›Paper›PMID 39123079›Full record

ArticleNature methods2024

DynaMight: estimating molecular motions with improved reconstruction from cryo-EM images.

Johannes Schwab, Dari Kimanius, Alister Burt, Tom Dendooven, Sjors H W Scheres

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 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
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  5. Review
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  8. Review
  9. Article
  10. CryoJAX: a cryo-electron microscopy image-simulation library in JAX.Acta crystallographica. Section D, Structural biology · 2026
    Article
  11. Article
  12. Article
  13. Curvy Surface Reconstruction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  14. Review
  15. Article
  16. Article
  17. ThebioRxiv : the preprint server for biology · 2026
    Article
  18. The Open Conformation of CCT: How to Achieve High Resolution Using CryoEM.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  19. Article
  20. 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

5 authors.

Johannes SchwabMRC Laboratory of Molecular Biology, Cambridge, UK. schwab@mrc-lmb.cam.ac.uk.ORCID http://orcid.org/0000-0002-7144-3031
Dari KimaniusMRC Laboratory of Molecular Biology, Cambridge, UK.ORCID http://orcid.org/0000-0002-2662-6373
Alister BurtMRC Laboratory of Molecular Biology, Cambridge, UK.ORCID http://orcid.org/0000-0002-9341-2295
Tom DendoovenMRC Laboratory of Molecular Biology, Cambridge, UK.ORCID http://orcid.org/0000-0002-9847-0910
Sjors H W ScheresMRC Laboratory of Molecular Biology, Cambridge, UK. scheres@mrc-lmb.cam.ac.uk.ORCID http://orcid.org/0000-0002-0462-6540

Funding

Cancer Research UK (CRUK) C576/A14109Medical Research Council MC_UP_1201/6Medical Research Council MC_UP_A025_1013RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/W006022/1RCUK | Medical Research Council (MRC) MC UP 1201/6)RCUK | Medical Research Council (MRC) MC UP A025 1013
6 · The paper itself

Abstract

How to deal with continuously flexing molecules is one of the biggest outstanding challenges in single-particle analysis of proteins from cryogenic-electron microscopy (cryo-EM) images. Here, we present DynaMight, a software tool that estimates a continuous space of conformations in a cryo-EM dataset by learning three-dimensional deformations of a Gaussian pseudo-atomic model of a consensus structure for every particle image. Inversion of the learned deformations is then used to obtain an improved reconstruction of the consensus structure. We illustrate the performance of DynaMight for several experimental cryo-EM datasets. We also show how error estimates on the deformations may be obtained by independently training two variational autoencoders on half sets of the cryo-EM data, and how regularization of the three-dimensional deformations through the use of atomic models may lead to important artifacts due to model bias. DynaMight is distributed as free, open-source software, as part of RELION-5.

Indexed as

Cryoelectron MicroscopyImage Processing, Computer-AssistedSoftwareAlgorithmsImaging, Three-DimensionalModels, MolecularMotionProtein ConformationProteinsProteins

Identifiers

PMID39123079
PMCPMC11466895

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Registered trials

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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.