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Author:

Zhao, Yingchun (Zhao, Yingchun.) | Zhang, Xinyu (Zhang, Xinyu.) | Liu, Lamei (Liu, Lamei.) | Hu, Fangrui (Hu, Fangrui.) | Chang, Fubin (Chang, Fubin.) | Han, Zhongjie (Han, Zhongjie.) | Li, Chunhua (Li, Chunhua.)

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EI Scopus SCIE

Abstract:

The inwardly rectifying potassium channel Kir3.2, a member of the inward rectifier potassium (Kir) channel family, exerts important biological functions through transporting potassium ions outside of the cell, during which a large-scale synergistic movement occurs among its different domains. Currently, it is not fully understood how the binding of the ligand to the Kir3.2 channel leads to the structural changes and which key residues are responsible for the channel gating and allosteric dynamics. Here, we construct the Gaussian network model (GNM) of the Kir3.2 channel with the secondary structure and covalent interaction information considered (sscGNM), which shows a better performance in reproducing the channel’s flexibility compared with the traditional GNM. In addition, the sscANM-based perturbation method is used to simulate the channel’s conformational transition caused by the activator PIP2’s binding. By applying certain forces to the PIP2 binding pocket, the coarse-grained calculations generate the similar conformational changes to the experimental observation, suggesting that the topology structure as well as PIP2 binding are crucial to the allosteric activation of the Kir3.2 channel. We also utilize the sscGNM-based thermodynamic cycle method developed by us to identify the key residues whose mutations significantly alter the channel’s binding free energy with PIP2. We identify not only the residues important for the specific binding but also the ones critical for the allosteric transition coupled with PIP2 binding. This study is helpful for understanding the working mechanism of Kir3.2 channels and can provide important information for related drug design. © 2024 American Chemical Society

Keyword:

Free energy Binding energy Chemical activation Potassium Perturbation techniques Coarse-grained modeling

Author Community:

  • [ 1 ] [Zhao, Yingchun]Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Zhang, Xinyu]Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Liu, Lamei]Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Hu, Fangrui]Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Chang, Fubin]Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Han, Zhongjie]Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing; 100124, China
  • [ 7 ] [Li, Chunhua]Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing; 100124, China

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Source :

Journal of Physical Chemistry B

ISSN: 1520-6106

Year: 2024

Issue: 6

Volume: 128

Page: 1360-1370

3 . 3 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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