From Ion Channel Structure to Function: Better Tools to Annotate Membrane Protein Structures
From Ion Channel Structure to Function: Better Tools to Annotate Membrane Protein Structures
批准号:
BB/N000145/1
负责人:
Stephen Tucker
金额:
$72.53万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --
中文摘要
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英文摘要
The way we think and move, as well as the way we interact with and perceive our surroundings are just a few of the important processes controlled by ion channels and membrane transport proteins. In effect, almost every process in the body requires the movement of charged ions (like salts such as sodium chloride), or other molecules (like glucose), into and out of our cells. Without the tiny pores created by these membrane proteins a cell would just be an impermeable plastic bag incapable of interacting with its environment.These membrane proteins are therefore not only essential for all forms of 'bioelectrical' and cellular signalling, but also for life itself. It is therefore perhaps not surprising that 50% of current drug targets are thought to reside within cell membranes. The importance of these proteins has also driven many recent advances that now allow us to visualise their 3-D structure in exquisite detail. However, these images represent only the beginning of a long journey to understand how an ion channel works.Central to this understanding is not only the ability to visualise the transmembrane pathways which ions take through these proteins, but also to identify any barriers which exist within these pores. This is important because controlling these barriers enables cellular electrical signals to be switched on or off.Ions generally move through channels in their 'hydrated' state i.e. dissolved in water, and so previous methods for identification of barriers have mostly focussed on comparing the relative size of a dissolved ion to the size of the pathway through which it moves. This approach has proven extremely useful in the past. However, studies by us and others, now clearly demonstrate that the relative greasiness or 'hydrophobicity' of these narrow pathways also has a profound influence on the movement of ions, i.e. it is not just a matter of how wide the holes are. This is because water behaves very differently in a narrow greasy pore compared to one where the surface is easily wetted or 'hydrophilic'. As a result, if a section of a pore does not easily fill with water then ions cannot pass through, and a barrier is created. The scientific principles underlying this process also explain why oil and water do not mix, how cell membranes and biomolecules assemble, and why water is so essential for nearly all forms of life.Unfortunately, it is not possible to directly visualise the behaviour of water in such nanometre-sized pores. However, we have recently shown that powerful computational methods known as 'Molecular Dynamics Simulations' can accurately model these processes and therefore act as a 'computational microscope' to visualise this behaviour. Using this approach we have predicted the existence of hydrophobic barriers in several novel channel structures. Importantly, we have validated these predictions with a variety of experimental approaches, including direct changes to the 'wettability' of the channel itself. These results have had a major impact on our understanding of how these ion channels function.In this project we will develop new tools to simulate and predict the behaviour of water in membrane pores and transport pathways. This will enable a wide range of scientists, from the casual user to expert structural biologist, to accurately predict these hydrophobic barriers in any new or existing protein structure. To underpin this we will improve our mechanistic understanding of these processes by further refining and experimentally validating our computational methods in several model channel systems. These predictive tools will be designed with the requirements of the end-user in mind and for easy implementation on a number of different platforms, ranging from desktop PCs to supercomputers. The toolkit aims to meet a rapidly increasing demand for functional annotation and will have a far reaching impact on understanding how ion channels and membrane transport proteins work.
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DOI:
10.1038/s41467-022-28511-5
发表时间:
2022-02-14
期刊:
Nature communications
影响因子:
16.6
作者:
[Jojoa-Cruz S, Saotome K, Tsui CCA, Lee WH, Sansom MSP, Murthy SE, Patapoutian A, Ward AB]
通讯作者:
Ward AB
Influence of water models on water movement through AQP1
水模型通过 AQP1 对水运动的影响
DOI:
10.48550/arxiv.2101.06965
发表时间:
2021
期刊:
影响因子:
--
作者:
[Gonzalez M]
通讯作者:
Gonzalez M
DOI:
10.1016/j.str.2017.03.006
发表时间:
2017-05-02
期刊:
Structure (London, England : 1993)
影响因子:
--
作者:
[Aryal P, Jarerattanachat V, Clausen MV, Schewe M, McClenaghan C, Argent L, Conrad LJ, Dong YY, Pike ACW, Carpenter EP, Baukrowitz T, Sansom MSP, Tucker SJ]
通讯作者:
Tucker SJ
DOI:
10.1097/j.pain.0000000000001116
发表时间:
2018-03
期刊:
Pain
影响因子:
7.4
作者:
[Blesneac I, Themistocleous AC, Fratter C, Conrad LJ, Ramirez JD, Cox JJ, Tesfaye S, Shillo PR, Rice ASC, Tucker SJ, Bennett DLH]
通讯作者:
Bennett DLH
The structural and functional basis of defective TASK1 X-Gating in a novel channelopathy associated with sleep apnoea
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批准号:MR/W017741/1
-
项目类别:Research Grant
-
资助金额:$112.23万
-
财政年份:2022
-
负责人:Stephen Tucker
-
依托单位:
Unlocking the Potential of K2P Potassium Channels with Nanobodies
-
批准号:BB/T002018/1
-
项目类别:Research Grant
-
资助金额:$103.04万
-
财政年份:2019
-
负责人:Stephen Tucker
-
依托单位:
Exploitation of a Pharmacological 'Master Switch' to Probe the K+ Channel Selectivity Filter Gating Mechanism
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批准号:BB/S008608/1
-
项目类别:Research Grant
-
资助金额:$52.08万
-
财政年份:2019
-
负责人:Stephen Tucker
-
依托单位:
The Structural Mechanism of K2P Channel Gating
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批准号:BB/J00037X/1
-
项目类别:Research Grant
-
资助金额:$45.75万
-
财政年份:2012
-
负责人:Stephen Tucker
-
依托单位:
Exploiting a novel hybrid ion channel to understand the mechanism of sodium ion selectivity
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批准号:BB/F013035/1
-
项目类别:Research Grant
-
资助金额:$72.96万
-
财政年份:2008
-
负责人:Stephen Tucker
-
依托单位:
国内基金
海外基金
同步辐射光源 channel-cut 晶体窄缝的游离微珠辅助化学机械抛光研究
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批准号:21ZR1467700
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项目类别:省市级项目
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资助金额:--
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批准年份:2021
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负责人:王昆
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依托单位:
经颅磁刺激对 Alzheimer病小鼠脑内homer1a-BK channel信号通路的影响及疗效评估
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批准号:81371222
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项目类别:面上项目
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资助金额:70.0万元
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批准年份:2013
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负责人:王芙蓉
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依托单位: