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MarkoLAB:一种用于研究离子通道随机行为的模拟器。

MarkoLAB: A simulator to study ionic channel's stochastic behavior.

机构信息

Research and Technology Center, University of Mogi das Cruzes, Mogi das Cruzes, Brazil; Center for Biomedical Engineering, University of Campinas, Campinas, São Paulo, Brazil.

Research and Technology Center, University of Mogi das Cruzes, Mogi das Cruzes, Brazil; Department of Science and Technology, Federal University of Sao Paulo, Sao Paulo, Brazil.

出版信息

Comput Biol Med. 2017 Aug 1;87:258-270. doi: 10.1016/j.compbiomed.2017.05.032. Epub 2017 Jun 12.

Abstract

UNLABELLED

Mathematical models of the cardiac cell have started to include markovian representations of the ionic channels instead of the traditional Hodgkin & Huxley formulations. There are many reasons for this: Markov models are not restricted to the idea of independent gates defining the channel, they allow more complex description with specific transitions between open, closed or inactivated states, and more importantly those states can be closely related to the underlying channel structure and conformational changes.

METHODS

We used the LabVIEW and MATLAB programs to implement the simulator MarkoLAB that allow a dynamical 3D representation of the markovian model of the channel. The Monte Carlo simulation was used to implement the stochastic transitions among states. The user can specify the voltage protocol by setting the holding potential, the step-to voltage and the duration of the stimuli.

RESULTS

The most studied feature of a channel is the current flowing through it. This happens when the channel stays in the open state, but most of the time, as revealed by the low open probability values, the channel remains on the inactive or closed states. By focusing only when the channel enters or leaves the open state we are missing most of its activity. MarkoLAB proved to be quite useful to visualize the whole behavior of the channel and not only when the channel produces a current. Such dynamic representation provides more complete information about channel kinetics and will be a powerful tool to demonstrate the effect of gene mutations or drugs on the channel function.

CONCLUSIONS

MarkoLAB provides an original way of visualizing the stochastic behavior of a channel. It clarifies concepts, such as recovery from inactivation, calcium- versus voltage-dependent inactivation, and tail currents. It is not restricted to ionic channels only but it can be extended to other transporters, such as exchangers and pumps. This program is intended as a didactical tool to illustrate the dynamical behavior of a channel. It has been implemented in two platforms MATLAB and LabVIEW to enhance the target users of this new didactical tool. The computational cost of implementing a stochastic simulation is within the range of a personal computer performance; making MarkoLAB suitable to be run during a lecture or presentation.

摘要

未加标签

心脏细胞的数学模型已开始包括离子通道的马尔可夫表示,而不是传统的 Hodgkin 和 Huxley 公式。 这样做有很多原因:马尔可夫模型不受定义通道的独立门的想法的限制,它们允许使用更复杂的描述,具有特定的开放、关闭或失活状态之间的转换,更重要的是,这些状态可以与基础通道结构和构象变化密切相关。

方法

我们使用 LabVIEW 和 MATLAB 程序来实现模拟器 MarkoLAB,该模拟器允许对通道的马尔可夫模型进行动态 3D 表示。 蒙特卡罗模拟用于实现状态之间的随机转换。 用户可以通过设置保持电位、步长电压和刺激持续时间来指定电压协议。

结果

通道最受研究的特征是流过它的电流。 当通道保持在开放状态时会发生这种情况,但在大多数情况下,由于开放概率值较低,通道仍然处于失活或关闭状态。 只关注通道进入或离开开放状态时,我们会错过其大部分活动。 MarkoLAB 被证明非常有用,可以可视化通道的整体行为,而不仅仅是当通道产生电流时。 这种动态表示提供了有关通道动力学的更完整信息,并且将成为演示基因突变或药物对通道功能影响的有力工具。

结论

MarkoLAB 提供了一种可视化通道随机行为的原始方法。 它澄清了概念,例如失活后恢复、钙依赖性失活与电压依赖性失活以及尾电流。 它不仅限于离子通道,还可以扩展到其他转运体,如交换体和泵。 该程序旨在作为一种教学工具,用于说明通道的动态行为。 它已在两个平台 MATLAB 和 LabVIEW 中实现,以增强该新教学工具的目标用户。 实现随机模拟的计算成本在个人计算机性能范围内;使 MarkoLAB 适合在讲座或演示过程中运行。

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