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作者:

Lv, Dashuai (Lv, Dashuai.) | Wang, Cunxin (Wang, Cunxin.) | Li, Chunhua (Li, Chunhua.) (学者:李春华) | Tan, Jianjun (Tan, Jianjun.) | Zhang, Xiaoyi (Zhang, Xiaoyi.)

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摘要:

Glutamine-Binding Protein (GlnBP) of Escherichia coli, an important member of the periplasmic binding protein family, is responsible for the first step in the active transport of glutamine across the cytoplasmic membrane. In this work, the functionally key regulation sites of GlnBP were identified by utilizing a perturbation method proposed by our group, in which the residues whose perturbations markedly change the binding free energy between GlnBP and glutamine are considered to be functionally key residues. The results show that besides the substrate binding sites, some other residues distant from the binding pocket, including the ones in the hinge regions between the two domains, the front-and backdoor channels and the exposed region, are important for the function of glutamine binding and transport. The predicted results are well consistent with the theoretical and experimental data, which indicates that our method is an effective approach to identify the key residues important for both ligand binding and long-range allosteric signal transmission. This work can provide some insights into the function performance of GInBP and the physical mechanism of its allosteric regulation. (C) 2016 Elsevier Ltd. All rights reserved.

关键词:

Conformational transition Gaussian network model Key residues Thermodynamic cycle Glutamine binding protein

作者机构:

  • [ 1 ] [Lv, Dashuai]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 2 ] [Wang, Cunxin]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 3 ] [Li, Chunhua]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 4 ] [Tan, Jianjun]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 5 ] [Zhang, Xiaoyi]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China

通讯作者信息:

  • 李春华

    [Li, Chunhua]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China

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来源 :

COMPUTATIONAL BIOLOGY AND CHEMISTRY

ISSN: 1476-9271

年份: 2017

卷: 67

页码: 62-68

3 . 1 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:175

中科院分区:4

被引次数:

WoS核心集被引频次: 4

SCOPUS被引频次: 3

ESI高被引论文在榜: 0 展开所有

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