Clarendon Laboratory, Department of Physics, University of Oxford, Oxford, United Kingdom; Structural Bioinformatics and Computational Biochemistry, Department of Biochemistry, University of Oxford, Oxford, United Kingdom.
Structural Bioinformatics and Computational Biochemistry, Department of Biochemistry, University of Oxford, Oxford, United Kingdom.
Biophys J. 2024 Sep 17;123(18):3107-3119. doi: 10.1016/j.bpj.2024.07.010. Epub 2024 Jul 6.
There are increasing numbers of ion channel structures featuring heteromeric subunit assembly, exemplified by synaptic α1β glycine and α4β2 nicotinic receptors. These structures exhibit inherent pore asymmetry, but the relevance of this to function is unknown. Furthermore, molecular dynamics simulations performed on symmetrical homomeric channels often lead to thermal distortion whereby conformations of the resulting ensemble are also asymmetrical. When functionally annotating ion channels, researchers often rely on minimal constrictions determined via radius-profile calculations performed with computer programs, such as HOLE or CHAP, coupled with an assessment of pore hydrophobicity. However, such tools typically employ spherical probe particles, limiting their ability to accurately capture pore asymmetry. Here, we introduce an algorithm that employs ellipsoidal probe particles, enabling a more comprehensive representation of the pore geometry. Our analysis reveals that the use of nonspherical ellipsoids for pore characterization provides a more accurate and easily interpretable depiction of conductance. To quantify the implications of pore asymmetry on conductance, we systematically investigated carbon nanotubes with varying degrees of pore asymmetry as model systems. The conductance through these channels shows surprising effects that would otherwise not be predicted with spherical probes. The results have broad implications not only for the functional annotation of biological ion channels but also for the design of synthetic channel systems for use in areas such as water filtration. Furthermore, we make use of the more accurate characterization of channel pores to refine a physical conductance model to obtain a heuristic estimate for single-channel conductance. The code is freely available, obtainable as pip-installable python package and provided as a web service.
越来越多的离子通道结构具有异源亚基组装的特点,突触 α1β 甘氨酸和 α4β2 烟碱型乙酰胆碱受体就是很好的例子。这些结构表现出固有孔不对称性,但这与功能的相关性尚不清楚。此外,在对称同型通道上进行的分子动力学模拟常常导致热变形,从而导致所得集合的构象也是不对称的。在对离子通道进行功能注释时,研究人员通常依赖于通过计算机程序(如 HOLE 或 CHAP)进行的半径分布计算来确定最小限制,同时评估孔疏水性。然而,这些工具通常采用球形探针粒子,限制了它们准确捕捉孔不对称性的能力。在这里,我们引入了一种使用椭球探针粒子的算法,从而能够更全面地表示孔的几何形状。我们的分析表明,使用非球形椭球进行孔特征描述可以更准确、更容易地解释电导。为了量化孔不对称性对电导的影响,我们系统地研究了具有不同程度孔不对称性的碳纳米管作为模型系统。这些通道的电导表现出令人惊讶的效果,如果使用球形探针则无法预测这些效果。这些结果不仅对生物离子通道的功能注释具有广泛的意义,而且对用于水过滤等领域的合成通道系统的设计也具有广泛的意义。此外,我们利用通道孔的更准确特征来改进物理电导模型,以获得单通道电导的启发式估计。该代码是免费的,可以作为可通过 pip 安装的 Python 包获得,并作为 Web 服务提供。