Evidence map›Paper›PMID 27045335›Full record

ArticleScientific reports2016

Unfolding mechanism of thrombin-binding aptamer revealed by molecular dynamics simulation and Markov State Model.

Xiaojun Zeng, Liyun Zhang, Xiuchan Xiao, Yuanyuan Jiang, Yanzhi Guo, Xinyan Yu, Xuemei Pu, Menglong Li

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

12 citing papers in PubMed.

  1. Article
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  6. Article
  7. Uncertainties in Markov State Models of Small Proteins.Journal of chemical theory and computation · 2023
    Article
  8. Review
  9. Article
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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

8 authors.

Xiaojun ZengFaculty of Chemistry, Sichuan University, Chengdu 610064, People's Republic of China.
Liyun ZhangFaculty of Chemistry, Sichuan University, Chengdu 610064, People's Republic of China.
Xiuchan XiaoFaculty of Chemistry, Sichuan University, Chengdu 610064, People's Republic of China.
Yuanyuan JiangFaculty of Chemistry, Sichuan University, Chengdu 610064, People's Republic of China.
Yanzhi GuoFaculty of Chemistry, Sichuan University, Chengdu 610064, People's Republic of China.
Xinyan YuFaculty of Chemistry, Sichuan University, Chengdu 610064, People's Republic of China.
Xuemei PuFaculty of Chemistry, Sichuan University, Chengdu 610064, People's Republic of China.
Menglong LiFaculty of Chemistry, Sichuan University, Chengdu 610064, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thrombin-binding aptamer (TBA) with the sequence 5'GGTTGGTGTGGTTGG3' could fold into G-quadruplex, which correlates with functionally important genomic regionsis. However, unfolding mechanism involved in the structural stability of G-quadruplex has not been satisfactorily elucidated on experiments so far. Herein, we studied the unfolding pathway of TBA by a combination of molecular dynamics simulation (MD) and Markov State Model (MSM). Our results revealed that the unfolding of TBA is not a simple two-state process but proceeds along multiple pathways with multistate intermediates. One high flux confirms some observations from NMR experiment. Another high flux exhibits a different and simpler unfolding pathway with less intermediates. Two important intermediate states were identified. One is similar to the G-triplex reported in the folding of G-quadruplex, but lack of H-bonding between guanines in the upper plane. More importantly, another intermediate state acting as a connector to link the folding region and the unfolding one, was the first time identified, which exhibits higher population and stability than the G-triplex-like intermediate. These results will provide valuable information for extending our understanding the folding landscape of G-quadruplex formation.

Indexed as

G-QuadruplexesAlgorithmsAptamers, NucleotideGuanineHumansHydrogen BondingKineticsMagnetic Resonance SpectroscopyMarkov ChainsMolecular Dynamics SimulationProbabilityProtein BindingProtein DenaturationProtein FoldingTemperatureThrombinAptamers, NucleotideGuanineThrombinthrombin aptamer

Identifiers

PMID27045335
PMCPMC4820715

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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.