ReviewCurrent opinion in structural biology2019
In situ structure determination by subtomogram averaging.
Review in Current opinion in structural biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed.
- Lessons learned from a Kaggle challenge for particle picking in cryo-electron tomography.Nature methods · 2026Article
- Article
- AreTomoLive: automated reconstruction of comprehensively corrected and denoised cryo-electron tomograms in real time and at high throughput.Nature methods · 2026Article
- Mechanisms of COPII coat assembly and cargo recognition in the secretory pathway.Nature reviews. Molecular cell biology · 2025Review
- State-of-the-Art and Future Directions in Structural Proteomics.Molecular & cellular proteomics : MCP · 2025Review
- A case for community metadata standards in cryo-electron tomography.Emerging topics in life sciences · 2025Review
- TomoScore: A Neural Network Approach for Quality Assessment of Cellular cryo-ET.Research square · 2025Article
- Cryo-electron tomography reveals how COPII assembles on cargo-containing membranes.Nature structural & molecular biology · 2025Article
- Methods to Study Poxvirus Structures by Cryo-EM Imaging Modalities.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Molecular architecture of synaptic vesicles.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Article
- TomoScore: A Neural Network Approach for Quality Assessment of Cellular cryo-ET.bioRxiv : the preprint server for biology · 2024Article
- TOMOMAN: a software package for large scale cryo-electron tomography data preprocessing, community data sharing, and collaborative computing.bioRxiv : the preprint server for biology · 2024Article
- Learning structural heterogeneity from cryo-electron sub-tomograms with tomoDRGN.Nature methods · 2024Article
- STOPGAP: an open-source package for template matching, subtomogram alignment and classification.Acta crystallographica. Section D, Structural biology · 2024Article
- TomoNet: A streamlined cryogenic electron tomography software pipeline with automatic particle picking on flexible lattices.Biological imaging · 2024Article
- MDTOMO method for continuous conformational variability analysis in cryo electron subtomograms based on molecular dynamics simulations.Scientific reports · 2023Article
- Learning structural heterogeneity from cryo-electron sub-tomograms with tomoDRGN.bioRxiv : the preprint server for biology · 2023Article
- Computational Methods Toward Unbiased Pattern Mining and Structure Determination in Cryo-Electron Tomography Data.Journal of molecular biology · 2023Review
- 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cryo-tomography and subtomogram averaging are increasingly popular techniques for structural determination of macromolecular complexes in situ. They have the potential to achieve high-resolution views of native complexes, together with the details of their location relative to interacting molecules. The subtomogram averaging (StA) pipelines are well-established, with current developments aiming to optimise each step by reducing manual intervention and user decisions, following similar trends in single-particle approaches that have dramatically increased their popularity. Here, we review the main steps of typical StA workflows. We focus on considerations arising from the fact that the objects of study are embedded within unique crowded environments, and we emphasise those steps where careful decisions need to be made by the user.
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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.