Informing NMR experiments with molecular dynamics simulations to characterize the dominant activated state of the KcsA ion channel.
Informing NMR experiments with molecular dynamics simulations to characterize the dominant activated state of the KcsA ion channel.
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通过分子动力学模拟为NMR实验提供信息,以表征KcsA离子通道的主要活化状态。
DOI:
10.1063/5.0040649
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发表时间:
2021-04-28
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影响因子:
--
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中科院分区:
文献类型:
--
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As the first potassium channel with an x-ray structure determined, and given its homology to eukaryotic channels, the pH-gated prokaryotic channel KcsA has been extensively studied. Nevertheless, questions related, in particular, to the allosteric coupling between its gates remain open. The many currently available x-ray crystallography structures appear to correspond to various stages of activation and inactivation, offering insights into the molecular basis of these mechanisms. Since these studies have required mutations, complexation with antibodies, and substitution of detergents in place of lipids, examining the channel under more native conditions is desirable. Solid-state nuclear magnetic resonance (SSNMR) can be used to study the wild-type protein under activating conditions (low pH), at room temperature, and in bacteriomimetic liposomes. In this work, we sought to structurally assign the activated state present in SSNMR experiments. We used a combination of molecular dynamics (MD) simulations, chemical shift prediction algorithms, and Bayesian inference techniques to determine which of the most plausible x-ray structures resolved to date best represents the activated state captured in SSNMR. We first identified specific nuclei with simulated NMR chemical shifts that differed significantly when comparing partially open vs fully open ensembles from MD simulations. The simulated NMR chemical shifts for those specific nuclei were then compared to experimental ones, revealing that the simulation of the partially open state was in good agreement with the SSNMR data. Nuclei that discriminate effectively between partially and fully open states belong to residues spread over the sequence and provide a molecular level description of the conformational change.
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影响因子:
8.4
作者:
Bratholm LA;Jensen JH
通讯作者:
Jensen JH
影响因子:
5.6
作者:
Bhate MP;Wylie BJ;Tian L;McDermott AE
通讯作者:
McDermott AE
影响因子:
2.2
作者:
Hou, Guangjin;Yan, Si;Trebosc, Julien;Amoureux, Jean-Paul;Polenova, Tatyana
通讯作者:
Polenova, Tatyana
影响因子:
56.9
作者:
DEDIOS, AC;PEARSON, JG;OLDFIELD, E
通讯作者:
OLDFIELD, E
影响因子:
13.6
作者:
Bonomi M;Camilloni C;Cavalli A;Vendruscolo M
通讯作者:
Vendruscolo M