Mapping the function of neuronal ion channels in model and experiment

Ion channel models are the building blocks of computational neuron models. Their biological fidelity is therefore crucial for the interpretation of simulations. However, the number of published models, and the lack of standardization, make the comparison of ion channel models with one another and wi...

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Main Authors: Vogels, T, Podladski, W, Miesenboeck, G, Groschner, L, Seeholzer, A, Ranjan, R
Format: Journal article
Published: eLife Sciences Publications 2017
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author Vogels, T
Podladski, W
Miesenboeck, G
Groschner, L
Seeholzer, A
Ranjan, R
author_facet Vogels, T
Podladski, W
Miesenboeck, G
Groschner, L
Seeholzer, A
Ranjan, R
author_sort Vogels, T
collection OXFORD
description Ion channel models are the building blocks of computational neuron models. Their biological fidelity is therefore crucial for the interpretation of simulations. However, the number of published models, and the lack of standardization, make the comparison of ion channel models with one another and with experimental data difficult. Here, we present a framework for the automated large-scale classification of ion channel models. Using annotated metadata and responses to a set of voltage-clamp protocols, we assigned 2378 models of voltage- and calcium- gated ion channels coded in NEURON to 211 clusters. The IonChannelGenealogy (ICGenealogy) web interface provides an interactive resource for the categorization of new and existing models and experimental recordings. It enables quantitative comparisons of simulated and/or measured ion channel kinetics, and facilitates field-wide standardization of experimentally-constrained modeling.
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spelling oxford-uuid:7c3c8524-4dd9-4e7a-b8c7-95018b6c800d2022-03-26T20:55:48ZMapping the function of neuronal ion channels in model and experimentJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:7c3c8524-4dd9-4e7a-b8c7-95018b6c800dSymplectic Elements at OxfordeLife Sciences Publications2017Vogels, TPodladski, WMiesenboeck, GGroschner, LSeeholzer, ARanjan, RIon channel models are the building blocks of computational neuron models. Their biological fidelity is therefore crucial for the interpretation of simulations. However, the number of published models, and the lack of standardization, make the comparison of ion channel models with one another and with experimental data difficult. Here, we present a framework for the automated large-scale classification of ion channel models. Using annotated metadata and responses to a set of voltage-clamp protocols, we assigned 2378 models of voltage- and calcium- gated ion channels coded in NEURON to 211 clusters. The IonChannelGenealogy (ICGenealogy) web interface provides an interactive resource for the categorization of new and existing models and experimental recordings. It enables quantitative comparisons of simulated and/or measured ion channel kinetics, and facilitates field-wide standardization of experimentally-constrained modeling.
spellingShingle Vogels, T
Podladski, W
Miesenboeck, G
Groschner, L
Seeholzer, A
Ranjan, R
Mapping the function of neuronal ion channels in model and experiment
title Mapping the function of neuronal ion channels in model and experiment
title_full Mapping the function of neuronal ion channels in model and experiment
title_fullStr Mapping the function of neuronal ion channels in model and experiment
title_full_unstemmed Mapping the function of neuronal ion channels in model and experiment
title_short Mapping the function of neuronal ion channels in model and experiment
title_sort mapping the function of neuronal ion channels in model and experiment
work_keys_str_mv AT vogelst mappingthefunctionofneuronalionchannelsinmodelandexperiment
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AT miesenboeckg mappingthefunctionofneuronalionchannelsinmodelandexperiment
AT groschnerl mappingthefunctionofneuronalionchannelsinmodelandexperiment
AT seeholzera mappingthefunctionofneuronalionchannelsinmodelandexperiment
AT ranjanr mappingthefunctionofneuronalionchannelsinmodelandexperiment