Identification of structures for ion channel kinetic models.

Markov models of ion channel dynamics have evolved as experimental advances have improved our understanding of channel function. Past studies have examined limited sets of various topologies for Markov models of channel dynamics. We present a systematic method for identification of all possible Mark...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Kathryn E Mangold, Wei Wang, Eric K Johnson, Druv Bhagavan, Jonathan D Moreno, Jeanne M Nerbonne, Jonathan R Silva
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/3aacf089bcfd4490b3426bc8206f6128
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:3aacf089bcfd4490b3426bc8206f6128
record_format	dspace
spelling	oai:doaj.org-article:3aacf089bcfd4490b3426bc8206f61282021-12-02T19:58:04ZIdentification of structures for ion channel kinetic models.1553-734X1553-735810.1371/journal.pcbi.1008932https://doaj.org/article/3aacf089bcfd4490b3426bc8206f61282021-08-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1008932https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Markov models of ion channel dynamics have evolved as experimental advances have improved our understanding of channel function. Past studies have examined limited sets of various topologies for Markov models of channel dynamics. We present a systematic method for identification of all possible Markov model topologies using experimental data for two types of native voltage-gated ion channel currents: mouse atrial sodium currents and human left ventricular fast transient outward potassium currents. Successful models identified with this approach have certain characteristics in common, suggesting that aspects of the model topology are determined by the experimental data. Incorporating these channel models into cell and tissue simulations to assess model performance within protocols that were not used for training provided validation and further narrowing of the number of acceptable models. The success of this approach suggests a channel model creation pipeline may be feasible where the structure of the model is not specified a priori.Kathryn E MangoldWei WangEric K JohnsonDruv BhagavanJonathan D MorenoJeanne M NerbonneJonathan R SilvaPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 8, p e1008932 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Kathryn E Mangold Wei Wang Eric K Johnson Druv Bhagavan Jonathan D Moreno Jeanne M Nerbonne Jonathan R Silva Identification of structures for ion channel kinetic models.
description	Markov models of ion channel dynamics have evolved as experimental advances have improved our understanding of channel function. Past studies have examined limited sets of various topologies for Markov models of channel dynamics. We present a systematic method for identification of all possible Markov model topologies using experimental data for two types of native voltage-gated ion channel currents: mouse atrial sodium currents and human left ventricular fast transient outward potassium currents. Successful models identified with this approach have certain characteristics in common, suggesting that aspects of the model topology are determined by the experimental data. Incorporating these channel models into cell and tissue simulations to assess model performance within protocols that were not used for training provided validation and further narrowing of the number of acceptable models. The success of this approach suggests a channel model creation pipeline may be feasible where the structure of the model is not specified a priori.
format	article
author	Kathryn E Mangold Wei Wang Eric K Johnson Druv Bhagavan Jonathan D Moreno Jeanne M Nerbonne Jonathan R Silva
author_facet	Kathryn E Mangold Wei Wang Eric K Johnson Druv Bhagavan Jonathan D Moreno Jeanne M Nerbonne Jonathan R Silva
author_sort	Kathryn E Mangold
title	Identification of structures for ion channel kinetic models.
title_short	Identification of structures for ion channel kinetic models.
title_full	Identification of structures for ion channel kinetic models.
title_fullStr	Identification of structures for ion channel kinetic models.
title_full_unstemmed	Identification of structures for ion channel kinetic models.
title_sort	identification of structures for ion channel kinetic models.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/3aacf089bcfd4490b3426bc8206f6128
work_keys_str_mv	AT kathrynemangold identificationofstructuresforionchannelkineticmodels AT weiwang identificationofstructuresforionchannelkineticmodels AT erickjohnson identificationofstructuresforionchannelkineticmodels AT druvbhagavan identificationofstructuresforionchannelkineticmodels AT jonathandmoreno identificationofstructuresforionchannelkineticmodels AT jeannemnerbonne identificationofstructuresforionchannelkineticmodels AT jonathanrsilva identificationofstructuresforionchannelkineticmodels
_version_	1718375771014168576

Identification of structures for ion channel kinetic models.

Ejemplares similares