Evidence map›Paper›PMID 29850778›Full record

ArticleBioinformatics (Oxford, England)2018

NGL viewer: web-based molecular graphics for large complexes.

Alexander S Rose, Anthony R Bradley, Yana Valasatava, Jose M Duarte, Andreas Prlic, Peter W Rose

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 261 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
261citing papers in PubMed, 1 pooled it
–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

261 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. ACS synthetic biology · 2021
    Pooled it
  2. CHARMM-GUIbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The evolving landscape of molecular visualization.Protein science : a publication of the Protein Society · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. STING-ExositeDB: An AI-assisted curated database of protein exosites for drug discovery.Database : the journal of biological databases and curation · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
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  20. Article

201 more citing papers are in PubMed but not listed here.

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.

Alexander S RoseRCSB Protein Data Bank.
Anthony R BradleyRCSB Protein Data Bank.
Yana ValasatavaSan Diego Supercomputer Center, UC San Diego, CA, USA.
Jose M DuarteRCSB Protein Data Bank.
Andreas PrlicRCSB Protein Data Bank.
Peter W RoseRCSB Protein Data Bank.

Funding

Compressive Structural BioInformatics: High Efficiency 3D Structure CompressionU01CA198942 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROSE, PETER W · 2015 to 2017
$1.6M
NCI NIH HHS U01 CA198942
6 · The paper itself

Abstract

Motivation: The interactive visualization of very large macromolecular complexes on the web is becoming a challenging problem as experimental techniques advance at an unprecedented rate and deliver structures of increasing size. Results: We have tackled this problem by developing highly memory-efficient and scalable extensions for the NGL WebGL-based molecular viewer and by using Macromolecular Transmission Format (MMTF), a binary and compressed MMTF. These enable NGL to download and render molecular complexes with millions of atoms interactively on desktop computers and smartphones alike, making it a tool of choice for web-based molecular visualization in research and education. Availability and implementation: The source code is freely available under the MIT license at github.com/arose/ngl and distributed on NPM (npmjs.com/package/ngl). MMTF-JavaScript encoders and decoders are available at github.com/rcsb/mmtf-javascript.

Indexed as

Computer GraphicsInternetMacromolecular SubstancesSoftwareMacromolecular Substances

Identifiers

PMID29850778
PMCPMC6198858

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.