UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Bayesian approaches for mechanistic ion channel modeling.

Calderhead, B; Epstein, M; Sivilotti, L; Girolami, M; (2013) Bayesian approaches for mechanistic ion channel modeling. Methods Mol Biol , 1021 pp. 247-272. 10.1007/978-1-62703-450-0_13.

Full text not available from this repository.

Abstract

We consider the Bayesian analysis of mechanistic models describing the dynamic behavior of ligand-gated ion channels. The opening of the transmembrane pore in an ion channel is brought about by conformational changes in the protein, which results in a flow of ions through the pore. Remarkably, given the diameter of the pore, the flow of ions from a small number of channels or indeed from a single ion channel molecule can be recorded experimentally. This produces a large time-series of high-resolution experimental data, which can be used to investigate the gating process of these channels. We give a brief overview of the achievements and limitations of alternative maximum-likelihood approaches to this type of modeling, before investigating the statistical issues associated with analyzing stochastic model reaction mechanisms from a Bayesian perspective. Finally, we compare a number of Markov chain Monte Carlo algorithms that may be used to tackle this challenging inference problem.

Type: Article
Title: Bayesian approaches for mechanistic ion channel modeling.
Location: United States
DOI: 10.1007/978-1-62703-450-0_13
Keywords: Algorithms, Bayes Theorem, Computer Simulation, Humans, Ion Channel Gating, Ion Channels, Markov Chains, Models, Biological, Monte Carlo Method, Systems Biology
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Neuro, Physiology and Pharmacology
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
URI: http://discovery.ucl.ac.uk/id/eprint/1395066
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item