Evidence map›Paper›PMID 30393052›Full record

ArticleStructure (London, England : 1993)2019

Bayesian Weighing of Electron Cryo-Microscopy Data for Integrative Structural Modeling.

Massimiliano Bonomi, Samuel Hanot, Charles H Greenberg, Andrej Sali, Michael Nilges, Michele Vendruscolo, Riccardo Pellarin

Abstract read
In one paragraph

Article in Structure (London, England : 1993), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. State-of-the-Art and Future Directions in Structural Proteomics.Molecular & cellular proteomics : MCP · 2025
    Review
  3. Article
  4. Tutorial on integrative spatiotemporal modeling by integrative modeling platform.Protein science : a publication of the Protein Society · 2025
    Article
  5. Article
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  7. Article
  8. Article
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  14. Article
  15. Article
  16. Article
  17. Protein dynamics developments for the large scale and cryoEM: case study of ProDy 2.0.Acta crystallographica. Section D, Structural biology · 2022
    Review
  18. Article
  19. Article
  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

7 authors.

Massimiliano BonomiDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK. Electronic address: mb2006@cam.ac.uk.
Samuel HanotInstitut Pasteur, Structural Bioinformatics Unit, Department of Structural Biology and Chemistry, CNRS UMR 3528, C3BI USR 3756 CNRS & IP, Paris, France.
Charles H GreenbergDepartment of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Sciences, and California Institute for Quantitative Biomedical Sciences, University of California, San Francisco, CA 94158, USA.
Andrej SaliDepartment of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Sciences, and California Institute for Quantitative Biomedical Sciences, University of California, San Francisco, CA 94158, USA.
Michael NilgesInstitut Pasteur, Structural Bioinformatics Unit, Department of Structural Biology and Chemistry, CNRS UMR 3528, C3BI USR 3756 CNRS & IP, Paris, France.
Michele VendruscoloDepartment of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK.
Riccardo PellarinInstitut Pasteur, Structural Bioinformatics Unit, Department of Structural Biology and Chemistry, CNRS UMR 3528, C3BI USR 3756 CNRS & IP, Paris, France. Electronic address: riccardo.pellarin@pasteur.fr.

Funding

IMP: Software for Hybrid Determination of Macromolecular Assembly StructuresR01GM083960 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SALI, ANDREJ · 2008 to 2024
$5.2M
Integrative Program in Complex Biological System (ipCBS)T32EB009383 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARSHALL, WALLACE, WEINER, ORION D · 2009 to 2022
$3.2M
NIBIB NIH HHS T32 EB009383NIGMS NIH HHS R01 GM083960
6 · The paper itself

Abstract

Cryo-electron microscopy (cryo-EM) has become a mainstream technique for determining the structures of complex biological systems. However, accurate integrative structural modeling has been hampered by the challenges in objectively weighing cryo-EM data against other sources of information due to the presence of random and systematic errors, as well as correlations, in the data. To address these challenges, we introduce a Bayesian scoring function that efficiently and accurately ranks alternative structural models of a macromolecular system based on their consistency with a cryo-EM density map as well as other experimental and prior information. The accuracy of this approach is benchmarked using complexes of known structure and illustrated in three applications: the structural determination of the GroEL/GroES, RNA polymerase II, and exosome complexes. The approach is implemented in the open-source Integrative Modeling Platform (http://integrativemodeling.org), thus enabling integrative structure determination by combining cryo-EM data with other sources of information.

Indexed as

Molecular Dynamics SimulationBacterial ProteinsBayes TheoremChaperonin 10Chaperonin 60Cryoelectron MicroscopyMass SpectrometryRNA Polymerase IIBacterial ProteinsChaperonin 10Chaperonin 60RNA Polymerase IIbayesian inferencecross-linking mass spectrometrycryo-electron microscopydata weighingGaussian mixture modelintegrative structural modelingmacromolecular complexesstructural biology

Identifiers

PMID30393052
PMCPMC6779587

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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.