Evidence map›Paper›PMID 25453071›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Conformational dynamics of a crystalline protein from microsecond-scale molecular dynamics simulations and diffuse X-ray scattering.

Michael E Wall, Andrew H Van Benschoten, Nicholas K Sauter, Paul D Adams, James S Fraser, Thomas C Terwilliger

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Scaling and merging macromolecular diffuse scattering with mdx2.Acta crystallographica. Section D, Structural biology · 2024
    Article
  5. Functional protein dynamics in a crystal.Nature communications · 2024
    Article
  6. Functional Protein Dynamics in a Crystal.bioRxiv : the preprint server for biology · 2024
    Article
  7. Article
  8. Scaling and merging macromolecular diffuse scattering withbioRxiv : the preprint server for biology · 2024
    Article
  9. Article
  10. Molecular-dynamics simulation methods for macromolecular crystallography.Acta crystallographica. Section D, Structural biology · 2023
    Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Bringing diffuse X-ray scattering into focus.Current opinion in structural biology · 2018
    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

6 authors.

Michael E WallComputer, Computational, and Statistical Sciences Division and mewall@lanl.gov.
Andrew H Van BenschotenDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158;
Nicholas K SauterPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720; and.
Paul D AdamsPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720; and Department of Bioengineering, University of California, Berkeley, CA 94720.
James S FraserDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158;
Thomas C TerwilligerBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545;

Funding

PROJECT 5 - DUKE - STRUCTURE VALIDATION AND IMPROVEMENT FOR PROTEINS AND N. ACIDSP01GM063210 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI ADAMS, PAUL DAVID · 2001 to 2021
$33.5M
STRUCTURAL BIOLOGY TRAINING PROGRAMT32GM008284 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KORTEMME, TANJA · 1988 to 2022
$10.1M
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
The Impact of Mutation on the Conformations and Recognition of UbiquitinDP5OD009180 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FRASER, JAMES SOLOMON · 2011 to 2015
$1.8M
Realizing New Horizons in X-ray Crystallography Data ProcessingR01GM095887 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI SAUTER, NICHOLAS K · 2011 to 2014
$1.5M
Model Comparison in Structural BiologyR21GM110580 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FRASER, JAMES SOLOMON · 2014 to 2015
$419k
NIBIB NIH HHS T32 EB009383NIGMS NIH HHS 1P01GM063210NIGMS NIH HHS GM095887NIGMS NIH HHS GM110580NIGMS NIH HHS P01 GM063210NIGMS NIH HHS R01 GM095887NIGMS NIH HHS R21 GM110580NIGMS NIH HHS T32 GM008284NIH HHS DP5 OD009180NIH HHS OD009180
6 · The paper itself

Abstract

X-ray diffraction from protein crystals includes both sharply peaked Bragg reflections and diffuse intensity between the peaks. The information in Bragg scattering is limited to what is available in the mean electron density. The diffuse scattering arises from correlations in the electron density variations and therefore contains information about collective motions in proteins. Previous studies using molecular-dynamics (MD) simulations to model diffuse scattering have been hindered by insufficient sampling of the conformational ensemble. To overcome this issue, we have performed a 1.1-μs MD simulation of crystalline staphylococcal nuclease, providing 100-fold more sampling than previous studies. This simulation enables reproducible calculations of the diffuse intensity and predicts functionally important motions, including transitions among at least eight metastable states with different active-site geometries. The total diffuse intensity calculated using the MD model is highly correlated with the experimental data. In particular, there is excellent agreement for the isotropic component of the diffuse intensity, and substantial but weaker agreement for the anisotropic component. Decomposition of the MD model into protein and solvent components indicates that protein-solvent interactions contribute substantially to the overall diffuse intensity. We conclude that diffuse scattering can be used to validate predictions from MD simulations and can provide information to improve MD models of protein motions.

Indexed as

Models, MolecularCrystallography, X-RayMicrococcal NucleaseMolecular Dynamics SimulationPrincipal Component AnalysisProtein ConformationX-Ray DiffractionMicrococcal Nucleasediffuse scatteringmolecular-dynamics simulationprotein crystallographyprotein dynamicsstaphylococcal nuclease

Identifiers

PMID25453071
PMCPMC4273327

What OpenQuestion holds

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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.