Evidence map›Paper›PMID 27394096›Full record

ArticleThe Journal of chemical physics2016

Approach to the unfolding and folding dynamics of add A-riboswitch upon adenine dissociation using a coarse-grained elastic network model.

Chunhua Li, Dashuai Lv, Lei Zhang, Feng Yang, Cunxin Wang, Jiguo Su, Yang Zhang

Open access · greenAbstract read
In one paragraph

Article in The Journal of chemical physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

5 citing papers in PubMed, 18 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Chunhua LiCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China.
Dashuai LvCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China.
Lei ZhangCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China.
Feng YangCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China.
Cunxin WangCollege of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China.
Jiguo SuCollege of Science, Yanshan University, Qinhuangdao 066004, China.
Yang ZhangDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 45108, USA.
Beijing University of Technology · CNUniversity of Michigan–Ann Arbor · USYanshan University · CN

Funding

I-TASSER based atomic-level protein structure predictionR01GM083107 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2008 to 2019
$3.5M
Template-based docking refinement approach to protein-protein structure modelingR01GM116960 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2016 to 2019
$1.4M
NIGMS NIH HHS R01 GM083107NIGMS NIH HHS R01 GM116960
6 · The paper itself

Abstract

Riboswitches are noncoding mRNA segments that can regulate the gene expression via altering their structures in response to specific metabolite binding. We proposed a coarse-grained Gaussian network model (GNM) to examine the unfolding and folding dynamics of adenosine deaminase (add) A-riboswitch upon the adenine dissociation, in which the RNA is modeled by a nucleotide chain with interaction networks formed by connecting adjoining atomic contacts. It was shown that the adenine binding is critical to the folding of the add A-riboswitch while the removal of the ligand can result in drastic increase of the thermodynamic fluctuations especially in the junction regions between helix domains. Under the assumption that the native contacts with the highest thermodynamic fluctuations break first, the iterative GNM simulations showed that the unfolding process of the adenine-free add A-riboswitch starts with the denature of the terminal helix stem, followed by the loops and junctions involving ligand binding pocket, and then the central helix domains. Despite the simplified coarse-grained modeling, the unfolding dynamics and pathways are shown in close agreement with the results from atomic-level MD simulations and the NMR and single-molecule force spectroscopy experiments. Overall, the study demonstrates a new avenue to investigate the binding and folding dynamics of add A-riboswitch molecule which can be readily extended for other RNA molecules.

Indexed as

Models, ChemicalModels, GeneticNucleic Acid ConformationRiboswitchAdenineCations, DivalentMagnesiumAdenineCations, DivalentMagnesiumRiboswitch

Identifiers

PMID27394096
PMCPMC4947042
OpenAlexW2464634369

What OpenQuestion holds

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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.