Stochastic models of ion channels

This thesis is concerned with models and inference for single ion channels. Molecular modelling studies are used as the basis for biologically realistic, large state-space gating models of the nicotinic acetylcholine receptor which enable single-channel kinetic behaviour to be characterized in term...

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Main Author: Ball, Sue
Format: Thesis (University of Nottingham only)
Language:English
Published: 2001
Online Access:https://eprints.nottingham.ac.uk/11277/
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author Ball, Sue
author_facet Ball, Sue
author_sort Ball, Sue
building Nottingham Research Data Repository
collection Online Access
description This thesis is concerned with models and inference for single ion channels. Molecular modelling studies are used as the basis for biologically realistic, large state-space gating models of the nicotinic acetylcholine receptor which enable single-channel kinetic behaviour to be characterized in terms of a small number of free parameters. A model is formulated which incorporates known structural information concerning pentameric subunit composition, interactions between neighbouring subunits and knowledge of the behaviour of agonist binding sites within the receptor-channel proteins. Expressions are derived for various channel properties and results are illustrated using numerical examples. The model is adapted and extended to demonstrate how properties of the calcium ion-activated potassium ion channel may be modelled. A two-state stochastic model for ion channels which incorporates time interval omission is examined. Two new methods for overcoming a non-identifiability problem induced by time interval omission are introduced and simulation studies are presented in support of these methods. A framework is presented for analysing the asymptotic behaviour of the method-of-moments estimators of the mean lengths of open and closed sojourns. This framework is used to clarify the origin of the non-identifiability and to construct confidence sets for the mean sojourn lengths. A conjecture concerning the number of solutions of the moment estimating equations is proved.
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format Thesis (University of Nottingham only)
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language English
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spelling nottingham-112772025-02-28T11:12:25Z https://eprints.nottingham.ac.uk/11277/ Stochastic models of ion channels Ball, Sue This thesis is concerned with models and inference for single ion channels. Molecular modelling studies are used as the basis for biologically realistic, large state-space gating models of the nicotinic acetylcholine receptor which enable single-channel kinetic behaviour to be characterized in terms of a small number of free parameters. A model is formulated which incorporates known structural information concerning pentameric subunit composition, interactions between neighbouring subunits and knowledge of the behaviour of agonist binding sites within the receptor-channel proteins. Expressions are derived for various channel properties and results are illustrated using numerical examples. The model is adapted and extended to demonstrate how properties of the calcium ion-activated potassium ion channel may be modelled. A two-state stochastic model for ion channels which incorporates time interval omission is examined. Two new methods for overcoming a non-identifiability problem induced by time interval omission are introduced and simulation studies are presented in support of these methods. A framework is presented for analysing the asymptotic behaviour of the method-of-moments estimators of the mean lengths of open and closed sojourns. This framework is used to clarify the origin of the non-identifiability and to construct confidence sets for the mean sojourn lengths. A conjecture concerning the number of solutions of the moment estimating equations is proved. 2001-07-05 Thesis (University of Nottingham only) NonPeerReviewed application/pdf en arr https://eprints.nottingham.ac.uk/11277/1/342038.pdf Ball, Sue (2001) Stochastic models of ion channels. PhD thesis, University of Nottingham.
spellingShingle Ball, Sue
Stochastic models of ion channels
title Stochastic models of ion channels
title_full Stochastic models of ion channels
title_fullStr Stochastic models of ion channels
title_full_unstemmed Stochastic models of ion channels
title_short Stochastic models of ion channels
title_sort stochastic models of ion channels
url https://eprints.nottingham.ac.uk/11277/