ArticleJournal of structural biology: X2022
Subtomogram averaging for biophysical analysis and supramolecular context.
Article in Journal of structural biology: X, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- Functional and structural insights into cyanobacterial COThe Plant journal : for cell and molecular biology · 2026Review
- Using Cryogenic Electron Tomography (cryoET) to Determine Rubisco Polymerization Constants in α-Carboxysomes.bioRxiv : the preprint server for biology · 2026Article
- A case for community metadata standards in cryo-electron tomography.Emerging topics in life sciences · 2025Review
- TomoCPT: a generalizable model for 3D particle detection and localization in cryo-electron tomograms.Acta crystallographica. Section D, Structural biology · 2025Article
- 3D Cryo-Correlative Methods to Study Virus Structure and Dynamics Within Cells.Sub-cellular biochemistry · 2024Review
- Scaling up cryo-EM for biology and chemistry: The journey from niche technology to mainstream method.Structure (London, England : 1993) · 2023Review
- Polysaccharide assemblies in fungal and plant cell walls explored by solid-state NMR.Structure (London, England : 1993) · 2023Review
- Single-particle cryo-EM analysis of the shell architecture and internal organization of an intact α-carboxysome.Structure (London, England : 1993) · 2023Article
- Computational methods forFrontiers in cellular and infection microbiology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Recent advances in hardware, software and computing power have led to increasingly ambitious applications of cryo-electron tomography and subtomogram averaging. It is now possible to reveal both structures and biophysical relationships like protein binding partners and small molecule occupancy in these experiments. However, some data processing choices require the user to prioritize structure or biophysical context. Here, we present a modified subtomogram averaging approach that preserves both capabilities. By increasing the accuracy of particle-picking, performing alignment and averaging on all subtomograms, and decreasing reliance on symmetry and tight masks, the usability of tomography and subtomogram averaging data for biophysical analyses is greatly increased without negatively impacting structural refinements.
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What OpenQuestion holds
Registered trials
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.