Evidence map›Paper›PMID 19222844›Full record

ArticleSource code for biology and medicine2009

KinImmerse: Macromolecular VR for NMR ensembles.

Jeremy N Block, David J Zielinski, Vincent B Chen, Ian W Davis, E Claire Vinson, Rachael Brady, Jane S Richardson, David C Richardson

Abstract read
In one paragraph

Article in Source code for biology and medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Quality assessment of protein NMR structures.Current opinion in structural biology · 2013
    Review
  7. Article
  8. Article
  9. Article
  10. Seeing the PDB.The Journal of biological chemistry
    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

8 authors.

Jeremy N Block *Biochemistry Department, Duke University Medical Center, Durham, NC 27710, USA.
David J Zielinski *Visualization Technology Group, Pratt School of Engineering, Duke University, Durham, NC 27706, USA.
Vincent B ChenBiochemistry Department, Duke University Medical Center, Durham, NC 27710, USA.
Ian W DavisBiochemistry Department, Duke University Medical Center, Durham, NC 27710, USA.
E Claire VinsonElectrical and Computer Engineering Department, Pratt School of Engineering, Duke University, Durham, NC 27706, USA.
Rachael BradyVisualization Technology Group, Pratt School of Engineering, Duke University, Durham, NC 27706, USA.
Jane S RichardsonBiochemistry Department, Duke University Medical Center, Durham, NC 27710, USA.
David C RichardsonBiochemistry Department, Duke University Medical Center, Durham, NC 27710, USA.

Funding

New Kind of Quality Management for X-ray &NMR ModelsR01GM073930 · NIGMS · DUKE UNIVERSITY · PI RICHARDSON, DAVID CLAUDE · 2005 to 2013
$2.3M
NIGMS NIH HHS R01 GM073930
6 · The paper itself

Abstract

backgroundIn molecular applications, virtual reality (VR) and immersive virtual environments have generally been used and valued for the visual and interactive experience - to enhance intuition and communicate excitement - rather than as part of the actual research process. In contrast, this work develops a software infrastructure for research use and illustrates such use on a specific case.

methodsThe Syzygy open-source toolkit for VR software was used to write the KinImmerse program, which translates the molecular capabilities of the kinemage graphics format into software for display and manipulation in the DiVE (Duke immersive Virtual Environment) or other VR system. KinImmerse is supported by the flexible display construction and editing features in the KiNG kinemage viewer and it implements new forms of user interaction in the DiVE.

resultsIn addition to molecular visualizations and navigation, KinImmerse provides a set of research tools for manipulation, identification, co-centering of multiple models, free-form 3D annotation, and output of results. The molecular research test case analyzes the local neighborhood around an individual atom within an ensemble of nuclear magnetic resonance (NMR) models, enabling immersive visual comparison of the local conformation with the local NMR experimental data, including target curves for residual dipolar couplings (RDCs).

conclusionThe promise of KinImmerse for production-level molecular research in the DiVE is shown by the locally co-centered RDC visualization developed there, which gave new insights now being pursued in wider data analysis.

Identifiers

PMID19222844
PMCPMC2650690

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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.