Evidence map›Paper›PMID 26582920›Full record

ArticleNucleic acids research2016

iGNM 2.0: the Gaussian network model database for biomolecular structural dynamics.

Hongchun Li, Yuan-Yu Chang, Lee-Wei Yang, Ivet Bahar

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Discrete protein dynamics enable long-range communication.bioRxiv : the preprint server for biology · 2025
    Article
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  5. Article
  6. Article
  7. Decrypting Allostery in Membrane-Bound K-Ras4B Using ComplementaryJournal of the American Chemical Society · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Identification of Allosteric Effects in Proteins by Elastic Network Models.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Pharmmaker: Pharmacophore modeling and hit identification based on druggability simulations.Protein science : a publication of the Protein Society · 2020
    Article
  18. Article
  19. Review
  20. 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

4 authors.

Hongchun LiDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, PA 15213, USA.
Yuan-Yu ChangInstitute of Bioinformatics and Structural Biology, National Tsing-Hua University, Hsinchu 300, Taiwan.
Lee-Wei YangInstitute of Bioinformatics and Structural Biology, National Tsing-Hua University, Hsinchu 300, Taiwan bahar@pitt.edu.ORCID http://orcid.org/0000-0002-3971-6386
Ivet BaharDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, PA 15213, USA lwyang@life.nthu.edu.tw.

Funding

TrainingP41GM103712 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FAEDER, JAMES · 2012 to 2021
$16.3M
Continued Development of Protein Dynamics Software ProDyR01GM099738 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET · 2012 to 2015
$1.1M
NIGMS NIH HHS 5P41GM103712NIGMS NIH HHS 5R01GM099738NIGMS NIH HHS P41 GM103712NIGMS NIH HHS R01 GM099738
6 · The paper itself

Abstract

Gaussian network model (GNM) is a simple yet powerful model for investigating the dynamics of proteins and their complexes. GNM analysis became a broadly used method for assessing the conformational dynamics of biomolecular structures with the development of a user-friendly interface and database, iGNM, in 2005. We present here an updated version, iGNM 2.0 http://gnmdb.csb.pitt.edu/, which covers more than 95% of the structures currently available in the Protein Data Bank (PDB). Advanced search and visualization capabilities, both 2D and 3D, permit users to retrieve information on inter-residue and inter-domain cross-correlations, cooperative modes of motion, the location of hinge sites and energy localization spots. The ability of iGNM 2.0 to provide structural dynamics data on the large majority of PDB structures and, in particular, on their biological assemblies makes it a useful resource for establishing the bridge between structure, dynamics and function.

Indexed as

Databases, ProteinModels, MolecularProtein ConformationDNANormal DistributionProtein Structure, TertiaryRNADNARNA

Identifiers

PMID26582920
PMCPMC4702874

What OpenQuestion holds

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LicenceCC BY
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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.