a Department of Biochemistry , University of Oxford , Oxford , UK.
b Clarendon Laboratory, Department of Physics , University of Oxford , Oxford , UK.
Channels (Austin). 2017 Jul 4;11(4):347-353. doi: 10.1080/19336950.2017.1306163. Epub 2017 Mar 20.
An increasing number of ion channel structures are being determined. This generates a need for computational tools to enable functional annotation of channel structures. However, several studies of ion channel and model pores have indicated that the physical dimensions of a pore are not always a reliable indicator of its conductive status. This is due to the unusual behavior of water within nano-confined spaces, resulting in a phenomenon referred to as "hydrophobic gating". We have recently demonstrated how simulating the behavior of water within an ion channel pore can be used to predict its conductive status. In this addendum to our study, we apply this method to compare the recently solved structure of a mutant of the bestrophin chloride channel BEST1 with that of the wild-type channel. Our results support the hypothesis of a hydrophobic gate within the narrow neck of BEST1. This provides further validation that this simulation approach provides the basis for an accurate and computationally efficient tool for the functional annotation of ion channel structures.
越来越多的离子通道结构正在被确定。这就需要计算工具来实现对通道结构的功能注释。然而,对离子通道和模型孔的几项研究表明,孔的物理尺寸并不总是其导电状态的可靠指标。这是由于水在纳米受限空间中的异常行为,导致了一种被称为“疏水电门”的现象。我们最近已经证明了如何模拟离子通道孔内水的行为,以预测其导电状态。在我们研究的附录中,我们应用该方法比较了最近解决的最佳蛋白氯离子通道 BEST1 的突变体结构与野生型通道的结构。我们的结果支持了在 BEST1 的狭窄颈部存在疏水电门的假说。这进一步验证了这种模拟方法为离子通道结构的功能注释提供了准确且计算高效的工具的基础。