Evidence map›Paper›PMID 30605122›Full record

ReviewActa crystallographica. Section F, Structural biology communications2019

Survey of the analysis of continuous conformational variability of biological macromolecules by electron microscopy.

C O S Sorzano, A Jiménez, J Mota, J L Vilas, D Maluenda, M Martínez, E Ramírez-Aportela, T Majtner, J Segura, R Sánchez-García and 12 more

Abstract readReview
In one paragraph

Review in Acta crystallographica. Section F, Structural biology communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. How many (distinguishable) classes can we identify in single-particle analysis?Acta crystallographica. Section D, Structural biology · 2025
    Article
  5. Cryo-EM heterogeneity analysis using regularized covariance estimation and kernel regression.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Riemannian geometry for efficient analysis of protein dynamics data.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Protein dynamics developments for the large scale and cryoEM: case study of ProDy 2.0.Acta crystallographica. Section D, Structural biology · 2022
    Review
  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

22 authors.

C O S SorzanoNational Center of Biotechnology (CSIC), Spain.
A JiménezNational Center of Biotechnology (CSIC), Spain.
J MotaNational Center of Biotechnology (CSIC), Spain.
J L VilasNational Center of Biotechnology (CSIC), Spain.
D MaluendaNational Center of Biotechnology (CSIC), Spain.
M MartínezNational Center of Biotechnology (CSIC), Spain.
E Ramírez-AportelaNational Center of Biotechnology (CSIC), Spain.
T MajtnerNational Center of Biotechnology (CSIC), Spain.
J SeguraNational Center of Biotechnology (CSIC), Spain.
R Sánchez-GarcíaNational Center of Biotechnology (CSIC), Spain.
Y RancelNational Center of Biotechnology (CSIC), Spain.
L Del CañoNational Center of Biotechnology (CSIC), Spain.
P ConesaNational Center of Biotechnology (CSIC), Spain.
R MeleroNational Center of Biotechnology (CSIC), Spain.
S JonicSorbonne Université, UMR CNRS 7590, Muséum National d'Histoire Naturelle, IRD, Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie, IMPMC, Paris, France.
J VargasMcGill University, Canada.
F CazalsInria Sophia Antipolis - Méditerranée, France.
Z FreybergUniversity of Pittsburgh, USA.
J KriegerUniversity of Pittsburgh, USA.
I BaharUniversity of Pittsburgh, USA.
R MarabiniUniversidad Autónoma de Madrid, Spain.
J M CarazoNational Center of Biotechnology (CSIC), Spain.

Funding

TrainingP41GM103712 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FAEDER, JAMES · 2012 to 2021
$16.3M
NEUROBEHAVIORAL MECHANISMS OF DRUG ADDICTIONR01DA003817 · NIDA · ALBANY MEDICAL COLLEGE · PI GLICK, STANLEY D · 1985 to 2001
$370k
Comunidad de Madrid S2017/BMD-3817Horizon 2020 EINFRA-2015-1Horizon 2020 INFRADEV-04-2016Horizon 2020 INFRADEV-1-2014-1Horizon 2020 INFRADEV-3-2015Horizon 2020 INFRAIA-1-2014-2015Instituto de Salud Carlos III PT13/0001/0009Instituto de Salud Carlos III PT17/0009/0010Ministerio de Economía, Industria y Competitividad, Gobierno de España BIO2013-44647-RMinisterio de Economía, Industria y Competitividad, Gobierno de España BIO2016-76400-R (AEI/FEDER, UE)National Institutes of Health P41 GM 103712NIGMS NIH HHS P41 GM103712
6 · The paper itself

Abstract

Single-particle analysis by electron microscopy is a well established technique for analyzing the three-dimensional structures of biological macromolecules. Besides its ability to produce high-resolution structures, it also provides insights into the dynamic behavior of the structures by elucidating their conformational variability. Here, the different image-processing methods currently available to study continuous conformational changes are reviewed.

Indexed as

ElectronsAlgorithmsHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMacromolecular SubstancesMicroscopy, ElectronMolecular ConformationMolecular Dynamics SimulationPrincipal Component AnalysisProteinsThermodynamicsMacromolecular SubstancesProteinscontinuous heterogeneityelectron microscopyimage processingnormal-mode analysissingle-particle analysis

Identifiers

PMID30605122
PMCPMC6317454

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.