Evidence map›Paper›PMID 23793158›Full record

ArticleActa crystallographica. Section D, Biological crystallography2013

Robust structural analysis of native biological macromolecules from multi-crystal anomalous diffraction data.

Qun Liu, Qinglian Liu, Wayne A Hendrickson

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Biological crystallography, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
  2. Article
  3. Nickel binding to c-Src SH3 domain facilitates crystallization.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Utilizing anomalous signals for element identification in macromolecular crystallography.Acta crystallographica. Section D, Structural biology · 2024
    Article
  9. X-Ray Crystallography for Macromolecular Complexes.Advances in experimental medicine and biology · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Serial crystallography with multi-stage merging of thousands of images.Acta crystallographica. Section F, Structural biology communications · 2022
    Article
  14. Article
  15. Article
  16. High-throughput in situ experimental phasing.Acta crystallographica. Section D, Structural biology · 2020
    Article
  17. Journal of applied crystallography · 2020
    Article
  18. Bayesian machine learning improves single-wavelength anomalous diffraction phasing.Acta crystallographica. Section A, Foundations and advances · 2019
    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.

Qun LiuNew York Structural Biology Center, NSLS X4, Building 725, Brookhaven National Laboratory, Upton, NY 11973, USA.
Qinglian Liu
Wayne A Hendrickson

Funding

Structural Genomics on Membrane ProteinsU54GM095315 · NIGMS · NEW YORK STRUCTURAL BIOLOGY CENTER · PI ZHOU, MING · 2010 to 2014
$15.2M
ANOMALOUS-SCATTERING STUDIES OF MACROMOLECULAR STRUCTURER37GM034102 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI HENDRICKSON, WAYNE A. · 1994 to 2003
$1.4M
ANOMALOUS-SCATTERING STUDIES OF PROTEIN STRUCTURER01GM034102 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI HENDRICKSON, WAYNE A. · 1985 to 2008
$1.3M
NIGMS NIH HHS GM095315NIGMS NIH HHS GM34102NIGMS NIH HHS R01 GM034102NIGMS NIH HHS R37 GM034102NIGMS NIH HHS U54 GM095315
6 · The paper itself

Abstract

Structure determinations for biological macromolecules that have no known structural antecedents typically involve the incorporation of heavier atoms than those found natively in biological molecules. Currently, selenomethionyl proteins analyzed using single- or multi-wavelength anomalous diffraction (SAD or MAD) data predominate for such de novo analyses. Naturally occurring metal ions such as zinc or iron often suffice in MAD or SAD experiments, and sulfur SAD has been an option since it was first demonstrated using crambin 30 years ago; however, SAD analyses of structures containing only light atoms (Zmax ≤ 20) have not been common. Here, robust procedures for enhancing the signal to noise in measurements of anomalous diffraction by combining data collected from several crystals at a lower than usual X-ray energy are described. This multi-crystal native SAD method was applied in five structure determinations, using between five and 13 crystals to determine substructures of between four and 52 anomalous scatterers (Z ≤ 20) and then the full structures ranging from 127 to 1200 ordered residues per asymmetric unit at resolutions from 2.3 to 2.8 Å. Tests were devised to assure that all of the crystals used were statistically equivalent. Elemental identities for Ca, Cl, S, P and Mg were proven by f'' scattering-factor refinements. The procedures are robust, indicating that truly routine structure determination of typical native macromolecules is realised. Synchrotron beamlines that are optimized for low-energy X-ray diffraction measurements will facilitate such direct structural analysis.

Indexed as

Adenosine TriphosphateCrystallography, X-RayData CollectionElectronic Data ProcessingEscherichia coli ProteinsGPI-Linked ProteinsHSP70 Heat-Shock ProteinsHumansMacromolecular SubstancesMembrane Transport ProteinsModels, MolecularNerve Tissue ProteinsNetrinsProtein ConformationSelenomethionineSynchrotronsAdenosine TriphosphatednaK protein, E coliEscherichia coli ProteinsGPI-Linked ProteinsHSP70 Heat-Shock ProteinsMacromolecular SubstancesMembrane Transport ProteinsNerve Tissue ProteinsNetrinsNTNG2 protein, humanSelenomethionineanomalous scatteringmultiple crystalsphase determinationsulfur SAD

Identifiers

PMID23793158
PMCPMC3689535

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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.