Evidence map›Paper›PMID 28275219›Full record

ArticleMolecules (Basel, Switzerland)2017

Intrinsic Dynamics Analysis of a DNA Octahedron by Elastic Network Model.

Guang Hu, Lei He, Federico Iacovelli, Mattia Falconi

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Guang HuCenter for Systems Biology, Soochow University, Suzhou 215006, China. huguang@suda.edu.cn.
Lei HeCambridge-Suda (CAM-SU) Genomic Resource Center, Soochow University, Suzhou 215123, China. lhe@suda.edu.cn.
Federico IacovelliDepartment of Biology, University of Rome "Tor Vergata", Rome 00133, Italy. federico.iacovelli@uniroma2.it.
Mattia FalconiDepartment of Biology, University of Rome "Tor Vergata", Rome 00133, Italy. falconi@uniroma2.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA is a fundamental component of living systems where it plays a crucial role at both functional and structural level. The programmable properties of DNA make it an interesting building block for the construction of nanostructures. However, molecular mechanisms for the arrangement of these well-defined DNA assemblies are not fully understood. In this paper, the intrinsic dynamics of a DNA octahedron has been investigated by using two types of Elastic Network Models (ENMs). The application of ENMs to DNA nanocages include the analysis of the intrinsic flexibilities of DNA double-helices and hinge sites through the calculation of the square fluctuations, as well as the intrinsic collective dynamics in terms of cross-collective map calculation coupled with global motions analysis. The dynamics profiles derived from ENMs have then been evaluated and compared with previous classical molecular dynamics simulation trajectories. The results presented here revealed that ENMs can provide useful insights into the intrinsic dynamics of large DNA nanocages and represent a useful tool in the field of structural DNA nanotechnology.

Indexed as

Molecular Dynamics SimulationDNAElasticityNanostructuresNanotechnologyDNAAnisotropic Network Modelcollective motionsDNA nanotechnologyGaussian Network Modelhinge regionsmolecular dynamics

Identifiers

PMID28275219
PMCPMC6155889

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.