@inbook{8334576c46904f799b21b31ffd5233be,
title = "Creating Computational Models of Ion Channel Dynamics",
abstract = "Markov models are widely used to represent ion channel protein configurations as different states in the model{\textquoteright}s topology. Such models allow for dynamic simulation of ion channel kinetics through the simulated application of voltage potentials across a cell membrane. In this chapter, we present a general method for creating Markov models of ion channel kinetics using computational optimization alongside a fully featured example model of a cardiac potassium channel. Our methods cover designing training protocols, iteratively testing potential model topologies for structure identification, creation of algorithms for model simulation, as well as methods for assessing the quality of fit for a finalized model.",
keywords = "Action potentials, Computational optimization, Ion channels, Markov models, Model creation, Modeling, Simulation",
author = "Schoening, {Max E.} and Silva, {Jonathan R.}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2024.",
year = "2024",
doi = "10.1007/978-1-0716-3818-7_9",
language = "English",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "139--156",
booktitle = "Methods in Molecular Biology",
}