Evidence map›Paper›PMID 26655474›Full record

ArticleStructure (London, England : 1993)2015

γ-TEMPy: Simultaneous Fitting of Components in 3D-EM Maps of Their Assembly Using a Genetic Algorithm.

Arun Prasad Pandurangan, Daven Vasishtan, Frank Alber, Maya Topf

Abstract read
In one paragraph

Article in Structure (London, England : 1993), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Protein dynamics developments for the large scale and cryoEM: case study of ProDy 2.0.Acta crystallographica. Section D, Structural biology · 2022
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Automated Modeling and Validation of Protein Complexes in Cryo-EM Maps.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Integrative modelling of cellular assemblies.Current opinion in structural biology · 2017
    Review
  14. Review
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

4 authors.

Arun Prasad PanduranganInstitute of Structural and Molecular Biology, Birkbeck College, University of London, Malet Street, London WC1E 7HX, UK.
Daven VasishtanDivision of Structural Biology, Oxford Particle Imaging Centre, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
Frank AlberProgram in Molecular and Computational Biology, University of Southern California, 1050 Childs Way, RRI413E, Los Angeles, CA 90089, USA.
Maya TopfInstitute of Structural and Molecular Biology, Birkbeck College, University of London, Malet Street, London WC1E 7HX, UK. Electronic address: m.topf@cryst.bbk.ac.uk.

Funding

Computational Methods Towards the Spatio-Temporal Organization of the ProteomeR01GM096089 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ALBER, FRANK · 2011 to 2015
$1.6M
Biotechnology and Biological Sciences Research Council BB/K01692X/1Medical Research Council G0600084Medical Research Council MR/J000825/1Medical Research Council MR/N009614/1NIGMS NIH HHS R01 GM096089NIGMS NIH HHS R01GM096089
6 · The paper itself

Abstract

We have developed a genetic algorithm for building macromolecular complexes using only a 3D-electron microscopy density map and the atomic structures of the relevant components. For efficient sampling the method uses map feature points calculated by vector quantization. The fitness function combines a mutual information score that quantifies the goodness of fit with a penalty score that helps to avoid clashes between components. Testing the method on ten assemblies (containing 3-8 protein components) and simulated density maps at 10, 15, and 20 Å resolution resulted in identification of the correct topology in 90%, 70%, and 60% of the cases, respectively. We further tested it on four assemblies with experimental maps at 7.2-23.5 Å resolution, showing the ability of the method to identify the correct topology in all cases. We have also demonstrated the importance of the map feature-point quality on assembly fitting in the lack of additional experimental information.

Indexed as

GenotypeProtein MultimerizationSoftwareAlgorithmsAmino Acid SequenceMolecular Sequence DataProtein Folding

Identifiers

PMID26655474
PMCPMC4671957

What OpenQuestion holds

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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 OpenQuestion graph.