Evidence map›Paper›PMID 24564583›Full record

ArticleBMC bioinformatics2014

iview: an interactive WebGL visualizer for protein-ligand complex.

Hongjian Li, Kwong-Sak Leung, Takanori Nakane, Man-Hon Wong

Abstract read
In one paragraph

Article in BMC bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Autophagy3D: a comprehensive autophagy structure database.Database : the journal of biological databases and curation · 2024
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  7. Review
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  10. Frontiers in biomolecular mesh generation and molecular visualization systems.Visual computing for industry, biomedicine, and art · 2018
    Review
  11. Article
  12. Article
  13. Geometric Detection Algorithms for Cavities on Protein Surfaces in Molecular Graphics: A Survey.Computer graphics forum : journal of the European Association for Computer Graphics · 2017
    Article
  14. Article
  15. Article
  16. Article
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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

4 authors.

Hongjian LiDepartment of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong, China. jackyleehongjian@gmail.com.
Kwong-Sak Leung
Takanori Nakane
Man-Hon Wong

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVisualization of protein-ligand complex plays an important role in elaborating protein-ligand interactions and aiding novel drug design. Most existing web visualizers either rely on slow software rendering, or lack virtual reality support. The vital feature of macromolecular surface construction is also unavailable.

resultsWe have developed iview, an easy-to-use interactive WebGL visualizer of protein-ligand complex. It exploits hardware acceleration rather than software rendering. It features three special effects in virtual reality settings, namely anaglyph, parallax barrier and oculus rift, resulting in visually appealing identification of intermolecular interactions. It supports four surface representations including Van der Waals surface, solvent excluded surface, solvent accessible surface and molecular surface. Moreover, based on the feature-rich version of iview, we have also developed a neat and tailor-made version specifically for our istar web platform for protein-ligand docking purpose. This demonstrates the excellent portability of iview.

conclusionsUsing innovative 3D techniques, we provide a user friendly visualizer that is not intended to compete with professional visualizers, but to enable easy accessibility and platform independence.

Indexed as

SoftwareComputational BiologyComputer GraphicsInternetLigandsMolecular Docking SimulationProtein BindingProteinsUser-Computer InterfaceLigandsProteins

Identifiers

PMID24564583
PMCPMC3936933

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.