Evidence map›Paper›PMID 33623015›Full record

ArticleNature communications2021

Local computational methods to improve the interpretability and analysis of cryo-EM maps.

Satinder Kaur, Josue Gomez-Blanco, Ahmad A Z Khalifa, Swathi Adinarayanan, Ruben Sanchez-Garcia, Daniel Wrapp, Jason S McLellan, Khanh Huy Bui, Javier Vargas

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

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  14. Cryo-EM structures of apo and atorvastatin-bound human 3-hydroxy-3-methylglutaryl-coenzyme A reductase.Acta crystallographica. Section F, Structural biology communications · 2025
    Article
  15. Article
  16. Fragment-based drug discovery: A graphical review.Current research in pharmacology and drug discovery · 2025
    Review
  17. A labeled dataset for AI-based cryo-EM map enhancement.Computational and structural biotechnology journal · 2025
    Article
  18. CryoTEN: Efficiently Enhancing Cryo-EM Density Maps Using Transformers.bioRxiv : the preprint server for biology · 2024
    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

9 authors.

Satinder Kaur *Departament of Anatomy and Cell Biology, McGill University 3640 Rue University, Montréal, QC, Canada.
Josue Gomez-Blanco *Departament of Anatomy and Cell Biology, McGill University 3640 Rue University, Montréal, QC, Canada.
Ahmad A Z KhalifaDepartament of Anatomy and Cell Biology, McGill University 3640 Rue University, Montréal, QC, Canada.
Swathi AdinarayananDepartament of Anatomy and Cell Biology, McGill University 3640 Rue University, Montréal, QC, Canada.
Ruben Sanchez-GarciaBiocomputing Unit, Centro Nacional de Biotecnología-CSIC C/Darwin 3, Cantoblanco, Madrid, Spain.ORCID 0000-0001-6156-3542
Daniel WrappDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0002-0538-9647
Jason S McLellanDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0003-3991-542X
Khanh Huy BuiDepartament of Anatomy and Cell Biology, McGill University 3640 Rue University, Montréal, QC, Canada.ORCID 0000-0003-2814-9889
Javier VargasDepartmento de Óptica, Universidad Complutense de Madrid, Madrid, Spain. jvargas@fis.ucm.es.ORCID 0000-0001-7519-6106

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryo-electron microscopy (cryo-EM) maps usually show heterogeneous distributions of B-factors and electron density occupancies and are typically B-factor sharpened to improve their contrast and interpretability at high-resolutions. However, 'over-sharpening' due to the application of a single global B-factor can distort processed maps causing connected densities to appear broken and disconnected. This issue limits the interpretability of cryo-EM maps, i.e. ab initio modelling. In this work, we propose 1) approaches to enhance high-resolution features of cryo-EM maps, while preventing map distortions and 2) methods to obtain local B-factors and electron density occupancy maps. These algorithms have as common link the use of the spiral phase transformation and are called LocSpiral, LocBSharpen, LocBFactor and LocOccupancy. Our results, which include improved maps of recent SARS-CoV-2 structures, show that our methods can improve the interpretability and analysis of obtained reconstructions.

Identifiers

PMID33623015
PMCPMC7902670

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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.