...
首页> 外文期刊>The Journal of Chemical Physics >Blocker escape kinetics from a membrane channel analyzed by mapping blocker diffusive dynamics onto a two-site model
【24h】

Blocker escape kinetics from a membrane channel analyzed by mapping blocker diffusive dynamics onto a two-site model

机译:通过将阻塞器扩散动力学映射到双向模型来分析的膜通道中的阻止者逃脱动力学

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

When a large solute molecule enters a membrane channel from the membrane-bathing electrolyte solution, it blocks the small-ion current flowing through the channel. If the molecule spends in the channel sufficiently long time, individual blockades can be resolved in single-channel experiments. In this paper, we develop an analytical theory of the blocker escape kinetics from the channel, assuming that a charged blocking molecule cannot pass through a constriction region (bottleneck). We focus on the effect of the external voltage bias on the blocker survival probability in the channel. The bias creates a potential well for the charged blocker in the channel with the minimum located near the bottleneck. When the bias is strong, the well is deep, and escape from the channel is a slow process that allows for time-resolved observation of individual blocking events. Our analysis is performed in the framework of a two-site model of the blocker dynamics in the channel. Importantly, the rate constants, fully determining this model, are derived from a more realistic continuum diffusion model. This is done by mapping the latter onto its two-site counterpart which, while being much simpler, captures the main features of the blocker escape kinetics at high biases.
机译:当大溶质分子从膜浴性电解质溶液进入膜通道时,它阻止流过通道的小离子电流。如果分子足够长时间在通道中花费,则可以在单通道实验中解决各个块。在本文中,我们从通道开发了阻塞逃生动力学的分析理论,假设带电阻塞分子不能通过收缩区域(瓶颈)。我们专注于外部电压偏差对通道中阻塞体存活概率的影响。偏差在通道中为带电阻挡器产生良好的潜在孔,其中最小位于瓶颈附近。当偏差很强时,井是深的,并且逃离频道是一种缓慢的过程,允许对各个阻塞事件的时间分辨观察。我们的分析是在通道中阻塞器动态的两个站点模型的框架中进行的。重要的是,速率常数完全确定该模型,来自更现实的连续统一模型。这是通过将后者映射到其双站点的对应物中来完成的,虽然更简单,但捕获了高偏差的阻滞剂逃生动力学的主要特征。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号