Journal article

Modelling modal gating of ion channels with hierarchical Markov models

Ivo Siekmann, Mark Fackrell, Edmund J Crampin, Peter Taylor

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences | The Royal Society | Published : 2016

Abstract

Many ion channels spontaneously switch between different levels of activity. Although this behaviour known as modal gating has been observed for a long time it is currently not well understood. Despite the fact that appropriately representing activity changes is essential for accurately capturing time course data from ion channels, systematic approaches for modelling modal gating are currently not available. In this paper, we develop a modular approach for building such a model in an iterative process. First, stochastic switching between modes and stochastic opening and closing within modes are represented in separate aggregated Markov models. Second, the continuous-time hierarchical Markov ..

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Grants

Awarded by Australian Research Council Centre of Excellence in Convergent Bio-Nano Science and Technology


Awarded by Australian Research Council (ARC)


Funding Acknowledgements

This research was in part conducted and funded by the Australian Research Council Centre of Excellence in Convergent Bio-Nano Science and Technology (project number CE140100036). I.S. gratefully acknowledges funding from the German Academic Exchange Service (DAAD). P.T. is supported by the Australian Research Council (ARC) Laureate Fellowship FL130100039 and the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS).