Harbin Institute of Technology, Harbin, People's Republic of China.
IET Syst Biol. 2013 Aug 1;7(4):106-13. doi: 10.1049/iet-syb.2012.0017.
Stochastic modelling of coupled Ca2+ channels is a challenge, especially when the coupling of the channels, as determined by their spatial arrangement relative to each other, has to be considered at multiple spatial scales. In this study, the authors address this problem using coloured stochastic Petri nets (SPNc) as high-level description to generate continuous-time Markov chains. The authors develop several models with increasing complexity. They first apply SPNc to model single clusters of coupled Ca2+ channels arranged in a regular or irregular lattice, where they describe how to represent the geometrical arrangement of Ca2+ channels relative to each other using colours. They then apply this modelling idea to construct more complex models by modelling spatially arranged clusters of channels. The authors' models can be easily reproduced and adapted to different scenarios.
耦合 Ca2+ 通道的随机建模是一项挑战,尤其是当需要在多个空间尺度上考虑通道的耦合时,这种耦合由它们彼此之间的空间排列决定。在这项研究中,作者使用彩色随机 Petri 网(SPNc)作为高级描述来生成连续时间马尔可夫链,从而解决了这个问题。作者开发了几个具有不同复杂程度的模型。他们首先应用 SPNc 对规则或不规则晶格中排列的单个耦合 Ca2+ 通道簇进行建模,描述了如何使用颜色来表示 Ca2+ 通道之间的几何排列。然后,他们应用这种建模思想通过对空间排列的通道簇进行建模来构建更复杂的模型。作者的模型可以很容易地被复制和适应不同的场景。