Evidence map›Paper›PMID 28382002›Full record

ArticleFrontiers in physiology2017

The 1-Particle-per-k-Nucleotides (1PkN) Elastic Network Model of DNA Dynamics with Sequence-Dependent Geometry.

Takeru Kameda, Shuhei Isami, Yuichi Togashi, Hiraku Nishimori, Naoaki Sakamoto, Akinori Awazu

Abstract read
In one paragraph

Article in Frontiers in physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Coarse-Grained Protein Dynamics Studies Using Elastic Network Models.International journal of molecular sciences · 2018
    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

6 authors.

Takeru KamedaDepartment of Mathematical and Life Sciences, Hiroshima University Hiroshima, Japan.
Shuhei IsamiDepartment of Mathematical and Life Sciences, Hiroshima University Hiroshima, Japan.
Yuichi TogashiResearch Center for the Mathematics on Chromatin Live Dynamics, Hiroshima University Hiroshima, Japan.
Hiraku NishimoriDepartment of Mathematical and Life Sciences, Hiroshima UniversityHiroshima, Japan; Research Center for the Mathematics on Chromatin Live Dynamics, Hiroshima UniversityHiroshima, Japan.
Naoaki SakamotoDepartment of Mathematical and Life Sciences, Hiroshima UniversityHiroshima, Japan; Research Center for the Mathematics on Chromatin Live Dynamics, Hiroshima UniversityHiroshima, Japan.
Akinori AwazuDepartment of Mathematical and Life Sciences, Hiroshima UniversityHiroshima, Japan; Research Center for the Mathematics on Chromatin Live Dynamics, Hiroshima UniversityHiroshima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coarse-grained models of DNA have made important contributions to the determination of the physical properties of genomic DNA, working as a molecular machine for gene regulation. In this study, to analyze the global dynamics of long DNA sequences with consideration of sequence-dependent geometry, we propose elastic network models of DNA where each particle represents

Indexed as

coarse-graineddouble-stranded DNAelastic network modelmitochondrial DNAnormal-mode analysissequence-dependent geometry

Identifiers

PMID28382002
PMCPMC5361685

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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.