Evidence map›Paper›PMID 16446450›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2006

Weighting of experimental evidence in macromolecular structure determination.

Michael Habeck, Wolfgang Rieping, Michael Nilges

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Automatic Bayesian Weighting for SAXS Data.Frontiers in molecular biosciences · 2021
    Article
  4. Reconciling Simulations and Experiments With BICePs: A Review.Frontiers in molecular biosciences · 2021
    Review
  5. Article
  6. Article
  7. Article
  8. Bayesian Modeling of Biomolecular Assemblies with Cryo-EM Maps.Frontiers in molecular biosciences · 2017
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  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

3 authors.

Michael HabeckUnité de Bioinformatique Structurale, Institut Pasteur, Centre National de la Recherche Scientifique Unité de Recherche Associée 2185, 25-28, Rue du Dr Roux, 75724 Paris Cedex 15, France.
Wolfgang Rieping
Michael Nilges

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The determination of macromolecular structures requires weighting of experimental evidence relative to prior physical information. Although it can critically affect the quality of the calculated structures, experimental data are routinely weighted on an empirical basis. At present, cross-validation is the most rigorous method to determine the best weight. We describe a general method to adaptively weight experimental data in the course of structure calculation. It is further shown that the necessity to define weights for the data can be completely alleviated. We demonstrate the method on a structure calculation from NMR data and find that the resulting structures are optimal in terms of accuracy and structural quality. Our method is devoid of the bias imposed by an empirical choice of the weight and has some advantages over estimating the weight by cross-validation.

Indexed as

BiasBiophysical PhenomenaBiophysicsMacromolecular SubstancesMagnetic Resonance SpectroscopyMolecular StructureMolecular WeightReproducibility of ResultsMacromolecular Substances

Identifiers

PMID16446450
PMCPMC1413624

What OpenQuestion 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 OpenQuestion graph.