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作者:

Li, Chunhua (Li, Chunhua.) | Lv, Dashuai (Lv, Dashuai.) | Zhang, Lei (Zhang, Lei.) | Yang, Feng (Yang, Feng.) | Wang, Cunxin (Wang, Cunxin.) | Su, Jiguo (Su, Jiguo.) | Zhang, Yang (Zhang, Yang.)

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摘要:

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. Published by AIP Publishing.

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作者机构:

  • [ 1 ] [Li, Chunhua]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 2 ] [Lv, Dashuai]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 3 ] [Zhang, Lei]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 4 ] [Yang, Feng]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 5 ] [Wang, Cunxin]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 6 ] [Li, Chunhua]Univ Michigan, Dept Computat Med & Bioinformat, Ann Arbor, MI 45108 USA
  • [ 7 ] [Zhang, Yang]Univ Michigan, Dept Computat Med & Bioinformat, Ann Arbor, MI 45108 USA
  • [ 8 ] [Su, Jiguo]Yanshan Univ, Coll Sci, Qinhuangdao 066004, Peoples R China

通讯作者信息:

  • [Zhang, Yang]Univ Michigan, Dept Computat Med & Bioinformat, Ann Arbor, MI 45108 USA;;[Su, Jiguo]Yanshan Univ, Coll Sci, Qinhuangdao 066004, Peoples R China

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来源 :

JOURNAL OF CHEMICAL PHYSICS

ISSN: 0021-9606

年份: 2016

期: 1

卷: 145

4 . 4 0 0

JCR@2022

ESI学科: PHYSICS;

ESI高被引阀值:175

中科院分区:2

被引次数:

WoS核心集被引频次: 13

SCOPUS被引频次: 12

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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