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谷氨酸转运体的计算研究

Computational Studies of Glutamate Transporters.

作者信息

Setiadi Jeffry, Heinzelmann Germano, Kuyucak Serdar

机构信息

School of Physics, University of Sydney, New South Wales, Sydney 2006, Australia.

Departamento de Fisica, Universidade Federal de Santa Catarina, Florianopolis 88040-900, Santa Catarina, Brazil.

出版信息

Biomolecules. 2015 Nov 11;5(4):3067-86. doi: 10.3390/biom5043067.

DOI:10.3390/biom5043067
PMID:26569328
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4693270/
Abstract

Glutamate is the major excitatory neurotransmitter in the human brain whose binding to receptors on neurons excites them while excess glutamate are removed from synapses via transporter proteins. Determination of the crystal structures of bacterial aspartate transporters has paved the way for computational investigation of their function and dynamics at the molecular level. Here, we review molecular dynamics and free energy calculation methods used in these computational studies and discuss the recent applications to glutamate transporters. The focus of the review is on the insights gained on the transport mechanism through computational methods, which otherwise is not directly accessible by experimental probes. Recent efforts to model the mammalian glutamate and other amino acid transporters, whose crystal structures have not been solved yet, are included in the review.

摘要

谷氨酸是人类大脑中的主要兴奋性神经递质,它与神经元上的受体结合会使神经元兴奋,而多余的谷氨酸则通过转运蛋白从突触中清除。细菌天冬氨酸转运体晶体结构的确定为在分子水平上对其功能和动力学进行计算研究铺平了道路。在这里,我们回顾了这些计算研究中使用的分子动力学和自由能计算方法,并讨论了它们最近在谷氨酸转运体上的应用。综述的重点是通过计算方法获得的关于转运机制的见解,而这些见解是实验探针无法直接获得的。综述还包括了对尚未解析晶体结构的哺乳动物谷氨酸和其他氨基酸转运体进行建模的最新努力。

相似文献

1
Computational Studies of Glutamate Transporters.谷氨酸转运体的计算研究
Biomolecules. 2015 Nov 11;5(4):3067-86. doi: 10.3390/biom5043067.
2
Molecular physiology of EAAT anion channels.兴奋性氨基酸转运体阴离子通道的分子生理学
Pflugers Arch. 2016 Mar;468(3):491-502. doi: 10.1007/s00424-015-1768-3. Epub 2015 Dec 19.
3
Mechanisms of glutamate transport.谷氨酸转运机制。
Physiol Rev. 2013 Oct;93(4):1621-57. doi: 10.1152/physrev.00007.2013.
4
The SLC1 high-affinity glutamate and neutral amino acid transporter family.SLC1 高亲和力谷氨酸和中性氨基酸转运蛋白家族。
Mol Aspects Med. 2013 Apr-Jun;34(2-3):108-20. doi: 10.1016/j.mam.2013.01.001.
5
Mechanisms of anion conduction by coupled glutamate transporters.谷氨酸转运体偶联介导的阴离子传导机制。
Cell. 2015 Jan 29;160(3):542-53. doi: 10.1016/j.cell.2014.12.035.
6
Molecular Determinants of Substrate Specificity in Sodium-coupled Glutamate Transporters.钠偶联谷氨酸转运体底物特异性的分子决定因素
J Biol Chem. 2015 Nov 27;290(48):28988-96. doi: 10.1074/jbc.M115.682666. Epub 2015 Oct 16.
7
Mutational analysis of glutamate transporters.谷氨酸转运体的突变分析
Handb Exp Pharmacol. 2006(175):113-35. doi: 10.1007/3-540-29784-7_6.
8
Allosteric gate modulation confers K coupling in glutamate transporters.变构门控调节赋予谷氨酸转运体 K 偶联。
EMBO J. 2019 Oct 1;38(19):e101468. doi: 10.15252/embj.2019101468. Epub 2019 Sep 10.
9
Interactions between glutamate transporters and metabotropic glutamate receptors at excitatory synapses in the cerebellar cortex.小脑皮质兴奋性突触处谷氨酸转运体与代谢型谷氨酸受体之间的相互作用。
Neurochem Int. 2004 Sep;45(4):537-44. doi: 10.1016/j.neuint.2003.11.007.
10
Role of glutamate transporters in the clearance and release of glutamate during ischemia and its relation to neuronal death.谷氨酸转运体在缺血期间谷氨酸清除和释放中的作用及其与神经元死亡的关系。
Arch Med Res. 2006 Jan;37(1):11-8. doi: 10.1016/j.arcmed.2005.05.014.

引用本文的文献

1
Observing spontaneous, accelerated substrate binding in molecular dynamics simulations of glutamate transporters.观察谷氨酸转运体分子动力学模拟中的自发加速底物结合。
PLoS One. 2021 Apr 23;16(4):e0250635. doi: 10.1371/journal.pone.0250635. eCollection 2021.
2
Free-Energy Simulations Resolve the Low-Affinity Na-High-Affinity Asp Binding Paradox in Glt.自由能模拟解决了 Glt 中低亲和力 Na-高亲和力 Asp 结合悖论。
Biophys J. 2019 Aug 20;117(4):780-789. doi: 10.1016/j.bpj.2019.07.016. Epub 2019 Jul 19.
3
A K/Na co-binding state: Simultaneous competitive binding of K and Na to glutamate transporters.

本文引用的文献

1
Refinement of the Central Steps of Substrate Transport by the Aspartate Transporter GltPh: Elucidating the Role of the Na2 Sodium Binding Site.天冬氨酸转运蛋白GltPh对底物转运核心步骤的优化:阐明Na2钠结合位点的作用
PLoS Comput Biol. 2015 Oct 20;11(10):e1004551. doi: 10.1371/journal.pcbi.1004551. eCollection 2015 Oct.
2
Low Affinity and Slow Na+ Binding Precedes High Affinity Aspartate Binding in the Secondary-active Transporter GltPh.在二级主动转运蛋白GltPh中,低亲和力和缓慢的钠离子结合先于高亲和力的天冬氨酸结合。
J Biol Chem. 2015 Jun 26;290(26):15962-72. doi: 10.1074/jbc.M115.656876. Epub 2015 Apr 28.
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一个 K/Na 共结合态:谷氨酸转运体对 K 和 Na 的同时竞争性结合。
J Biol Chem. 2019 Aug 9;294(32):12180-12190. doi: 10.1074/jbc.RA119.009421. Epub 2019 Jun 24.
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Kynurenines and Glutamate: Multiple Links and Therapeutic Implications.犬尿氨酸与谷氨酸:多重联系及治疗意义
Adv Pharmacol. 2016;76:13-37. doi: 10.1016/bs.apha.2016.01.005. Epub 2016 Mar 11.
Transport domain unlocking sets the uptake rate of an aspartate transporter.
转运域解锁设定了天冬氨酸转运体的摄取速率。
Nature. 2015 Feb 5;518(7537):68-73. doi: 10.1038/nature14158.
4
Mechanisms of anion conduction by coupled glutamate transporters.谷氨酸转运体偶联介导的阴离子传导机制。
Cell. 2015 Jan 29;160(3):542-53. doi: 10.1016/j.cell.2014.12.035.
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The adaptive biasing force method: everything you always wanted to know but were afraid to ask.自适应偏置力方法:你一直想知道但又不敢问的一切。
J Phys Chem B. 2015 Jan 22;119(3):1129-51. doi: 10.1021/jp506633n. Epub 2014 Oct 7.
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The domain interface of the human glutamate transporter EAAT1 mediates chloride permeation.人类谷氨酸转运体EAAT1的结构域界面介导氯离子通透。
Biophys J. 2014 Aug 5;107(3):621-629. doi: 10.1016/j.bpj.2014.05.046.
7
Molecular dynamics simulations elucidate the mechanism of proton transport in the glutamate transporter EAAT3.分子动力学模拟阐明了谷氨酸转运体EAAT3中质子转运的机制。
Biophys J. 2014 Jun 17;106(12):2675-83. doi: 10.1016/j.bpj.2014.05.010.
8
Coupling between neurotransmitter translocation and protonation state of a titratable residue during Na ⁺-coupled transport.在钠耦联转运过程中,神经递质转运与可滴定残基的质子化状态之间的偶联。
Biophys J. 2014 Jun 17;106(12):2547-8. doi: 10.1016/j.bpj.2014.05.011.
9
Na+ interactions with the neutral amino acid transporter ASCT1.钠离子与中性氨基酸转运体ASCT1的相互作用。
J Biol Chem. 2014 Jun 20;289(25):17468-79. doi: 10.1074/jbc.M114.565242. Epub 2014 May 7.
10
Exploring the conformational transitions of biomolecular systems using a simple two-state anisotropic network model.使用简单的两态各向异性网络模型探索生物分子系统的构象转变。
PLoS Comput Biol. 2014 Apr 3;10(4):e1003521. doi: 10.1371/journal.pcbi.1003521. eCollection 2014 Apr.