Evidence map›Paper›PMID 26249348›Full record

ArticleActa crystallographica. Section D, Biological crystallography2015

From deep TLS validation to ensembles of atomic models built from elemental motions.

Alexandre Urzhumtsev, Pavel V Afonine, Andrew H Van Benschoten, James S Fraser, Paul D Adams

Erratum issuedAbstract read
In one paragraph

Article in Acta crystallographica. Section D, Biological crystallography, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Measuring and modeling diffuse scattering in protein X-ray crystallography.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  9. Review
  10. Predicting X-ray diffuse scattering from translation-libration-screw structural ensembles.Acta crystallographica. Section D, Biological crystallography · 2015
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Alexandre UrzhumtsevCentre for Integrative Biology, Institut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS-INSERM-UdS, 1 Rue Laurent Fries, BP 10142, 67404 Illkirch, France.
Pavel V AfoninePhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Andrew H Van BenschotenDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA.
James S FraserDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Paul D AdamsPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.

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
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
Model Comparison in Structural BiologyR21GM110580 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FRASER, JAMES SOLOMON · 2014 to 2015
$419k
NIGMS NIH HHS GM063210NIGMS NIH HHS GM110580NIGMS NIH HHS P01 GM063210NIGMS NIH HHS R21 GM110580NIH HHS DP5 OD009180NIH HHS OD009180
6 · The paper itself

Abstract

The translation-libration-screw model first introduced by Cruickshank, Schomaker and Trueblood describes the concerted motions of atomic groups. Using TLS models can improve the agreement between calculated and experimental diffraction data. Because the T, L and S matrices describe a combination of atomic vibrations and librations, TLS models can also potentially shed light on molecular mechanisms involving correlated motions. However, this use of TLS models in mechanistic studies is hampered by the difficulties in translating the results of refinement into molecular movement or a structural ensemble. To convert the matrices into a constituent molecular movement, the matrix elements must satisfy several conditions. Refining the T, L and S matrix elements as independent parameters without taking these conditions into account may result in matrices that do not represent concerted molecular movements. Here, a mathematical framework and the computational tools to analyze TLS matrices, resulting in either explicit decomposition into descriptions of the underlying motions or a report of broken conditions, are described. The description of valid underlying motions can then be output as a structural ensemble. All methods are implemented as part of the PHENIX project.

Indexed as

AlgorithmsAnimalsCalmodulinHumansModels, MolecularMotionProkaryotic Initiation Factor-2Protein ConformationProteinsCalmodulinProkaryotic Initiation Factor-2Proteinscorrelated motiondiffuse scatteringensemble of modelslibrationmodel validationmolecular mobilityTLS matricesTLS modelvibration

Identifiers

PMID26249348
PMCPMC4528800

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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.