Evidence map›Paper›PMID 29981840›Full record

ArticleJournal of structural biology2018

Single particle reconstruction and validation using Bsoft for the map challenge.

J Bernard Heymann

Abstract read
In one paragraph

Article in Journal of structural biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. High resolution electron tomography and segmentation-by-modeling interpretation in Bsoft.Protein science : a publication of the Protein Society · 2021
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Single-particle reconstruction statistics: a diagnostic tool in solving biomolecular structures by cryo-EM.Acta crystallographica. Section F, Structural biology communications · 2019
    Review
  17. Comparing cryo-EM structures.Journal of structural biology · 2018
    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

1 author.

J Bernard HeymannLaboratory for Structural Biology Research, National Institute of Arthritis, Musculoskeletal and Skin Diseases, NIH, Bethesda, MD 20892, United States. Electronic address: bernard_heymann@nih.gov.

Funding

Intramural NIH HHS Z99 AR999999
6 · The paper itself

Abstract

The Bsoft package is aimed at processing electron micrographs for the determination of the three-dimensional structures of biological specimens. Recent advances in hardware allow us to solve structures to near atomic resolution using single particle analysis (SPA). The Map Challenge offered me an opportunity to test the ability of Bsoft to produce reconstructions from cryo-electron micrographs at the best resolution. I also wanted to understand what needed to be done to work towards full automation with validation. Here, I present two cases for the Map Challenge using Bsoft: ß-galactosidase and GroEL. I processed two independent subsets in each case with resolution-limited alignment. In both cases the reconstructions approached the expected resolution within a few iterations of alignment. I further validated the results by coherency-testing: i.e., that the reconstructions from real particles give better resolutions than reconstructions from the same number of aligned noise images. The key operations requiring attention for full automation are: particle picking, faster accurate alignment, proper mask generation, appropriate map sharpening, and understanding the amount of data needed to reach a desired resolution.

Indexed as

AlgorithmsCryoelectron MicroscopyImage Processing, Computer-AssistedImaging, Three-DimensionalSoftwareCryo-electron microscopyImage processingSingle particle analysisThree-dimensional reconstruction

Identifiers

PMID29981840
PMCPMC6119472

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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.