Francis, Febe, García, Míriam R., Mason, Oliver and Middleton, Richard H. (2013) Biological mechanism and identifiability of a class of stationary conductance model for Voltage-gated Ion channels. Working Paper. Arxiv.
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Official URL: http://arxiv.org/abs/1312.3991
Abstract
The physiology of voltage gated ion channels is complex and insights
into their gating mechanism is incomplete. Their function is best represented
by Markov models with relatively large number of distinct states
that are connected by thermodynamically feasible transitions. On the
other hand, popular models such as the one of Hodgkin and Huxley
have empirical assumptions that are generally unrealistic. Experimental
protocols often dictate the number of states in proposed Markov models,
thus creating disagreements between various observations on the
same channel. Here we aim to propose a limit to the minimum number
of states required to model ion channels by employing a paradigm
to define stationary conductance in a class of ion-channels. A simple
expression is generated using concepts in elementary thermodynamics
applied to protein conformational transitions. Further, it matches well
many published channel current-voltage characteristics and parameters
of the model are found to be identifiable and easily determined from
usual experimental protocols.
Item Type: | Monograph (Working Paper) |
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Keywords: | Biological mechanism; identifiability; stationary conductance model; Voltage gated; Ion channels; |
Academic Unit: | Faculty of Science and Engineering > Research Institutes > Hamilton Institute Faculty of Science and Engineering > Mathematics and Statistics |
Item ID: | 6231 |
Identification Number: | arXiv:1312.3991 |
Depositing User: | Oliver Mason |
Date Deposited: | 03 Jul 2015 14:21 |
Publisher: | Arxiv |
Funders: | Science Foundation Ireland (SFI) |
URI: | https://mural.maynoothuniversity.ie/id/eprint/6231 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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