Evidence map›Paper›PMID 30563146›Full record

ReviewInternational journal of molecular sciences2018

Coarse-Grained Protein Dynamics Studies Using Elastic Network Models.

Yuichi Togashi, Holger Flechsig

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2018. 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. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Reused Protein Segments Linked to Functional Dynamics.Molecular biology and evolution · 2024
    Article
  10. Review
  11. Statistical learning of protein elastic network from positional covariance matrix.Computational and structural biotechnology journal · 2023
    Article
  12. Review
  13. Article
  14. Computational and structural biotechnology journal · 2022
    Review
  15. Article
  16. Article
  17. Low-Frequency Harmonic Perturbations Drive Protein Conformational Changes.International journal of molecular sciences · 2021
    Article
  18. "Dividing and Conquering" and "Caching" in Molecular Modeling.International journal of molecular sciences · 2021
    Review
  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

2 authors.

Yuichi TogashiResearch Center for the Mathematics on Chromatin Live Dynamics (RcMcD), Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, 1-3-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8526, Japan. togashi@hiroshima-u.ac.jp.ORCID 0000-0003-0032-2424
Holger FlechsigNano Life Science Institute (WPI-NanoLSI), Kanazawa University, Kakuma-machi, Kanazawa, Ishikawa 920-1192, Japan. flechsig@staff.kanazawa-u.ac.jp.ORCID 0000-0003-4984-9294

Funding

Japan Agency for Medical Research and Development Platform Project for Supporting Drug Discovery and Life Science Research (Platform for Dynamic Approaches to Living System)Japan Society for the Promotion of Science KAKENHI JP16K05518
6 · The paper itself

Abstract

Elastic networks have been used as simple models of proteins to study their slow structural dynamics. They consist of point-like particles connected by linear Hookean springs and hence are convenient for linear normal mode analysis around a given reference structure. Furthermore, dynamic simulations using these models can provide new insights. As the computational cost associated with these models is considerably lower compared to that of all-atom models, they are also convenient for comparative studies between multiple protein structures. In this review, we introduce examples of coarse-grained molecular dynamics studies using elastic network models and their derivatives, focusing on the nonlinear phenomena, and discuss their applicability to large-scale macromolecular assemblies.

Indexed as

ElasticityMolecular Dynamics SimulationProteinsProteinsallosterycoarse-grained modelelastic networkmolecular dynamicsmolecular machinenonlinearitynormal mode analysisprotein

Identifiers

PMID30563146
PMCPMC6320916

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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.