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Assessing hERG Pore Models As Templates for Drug Docking Using Published Experimental Constraints: The Inactivated State in the Context of Drug Block

[Image: see text] Many structurally and therapeutically diverse drugs interact with the human heart K(+) channel hERG by binding within the K(+) permeation pathway of the open channel, leading to drug-induced ‘long QT syndrome’. Drug binding to hERG is often stabilized by inactivation gating. In the...

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Autores principales: Dempsey, Christopher E., Wright, Dominic, Colenso, Charlotte K., Sessions, Richard B., Hancox, Jules C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2014
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977586/
https://www.ncbi.nlm.nih.gov/pubmed/24471705
http://dx.doi.org/10.1021/ci400707h
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author Dempsey, Christopher E.
Wright, Dominic
Colenso, Charlotte K.
Sessions, Richard B.
Hancox, Jules C.
author_facet Dempsey, Christopher E.
Wright, Dominic
Colenso, Charlotte K.
Sessions, Richard B.
Hancox, Jules C.
author_sort Dempsey, Christopher E.
collection PubMed
description [Image: see text] Many structurally and therapeutically diverse drugs interact with the human heart K(+) channel hERG by binding within the K(+) permeation pathway of the open channel, leading to drug-induced ‘long QT syndrome’. Drug binding to hERG is often stabilized by inactivation gating. In the absence of a crystal structure, hERG pore homology models have been used to characterize drug interactions. Here we assess potentially inactivated states of the bacterial K(+) channel, KcsA, as templates for inactivated state hERG pore models in the context of drug binding using computational docking. Although Flexidock and GOLD docking produced low energy score poses in the models tested, each method selected a MthK K(+) channel-based model over models based on the putative inactivated state KcsA structures for each of the 9 drugs tested. The variety of docking poses found indicates that an optimal arrangement for drug binding of aromatic side chains in the hERG pore can be achieved in several different configurations. This plasticity of the drug “binding site” is likely to be a feature of the hERG inactivated state. The results demonstrate that experimental data on specific drug interactions can be used as structural constraints to assess and refine hERG homology models.
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spelling pubmed-39775862014-04-07 Assessing hERG Pore Models As Templates for Drug Docking Using Published Experimental Constraints: The Inactivated State in the Context of Drug Block Dempsey, Christopher E. Wright, Dominic Colenso, Charlotte K. Sessions, Richard B. Hancox, Jules C. J Chem Inf Model [Image: see text] Many structurally and therapeutically diverse drugs interact with the human heart K(+) channel hERG by binding within the K(+) permeation pathway of the open channel, leading to drug-induced ‘long QT syndrome’. Drug binding to hERG is often stabilized by inactivation gating. In the absence of a crystal structure, hERG pore homology models have been used to characterize drug interactions. Here we assess potentially inactivated states of the bacterial K(+) channel, KcsA, as templates for inactivated state hERG pore models in the context of drug binding using computational docking. Although Flexidock and GOLD docking produced low energy score poses in the models tested, each method selected a MthK K(+) channel-based model over models based on the putative inactivated state KcsA structures for each of the 9 drugs tested. The variety of docking poses found indicates that an optimal arrangement for drug binding of aromatic side chains in the hERG pore can be achieved in several different configurations. This plasticity of the drug “binding site” is likely to be a feature of the hERG inactivated state. The results demonstrate that experimental data on specific drug interactions can be used as structural constraints to assess and refine hERG homology models. American Chemical Society 2014-01-28 2014-02-24 /pmc/articles/PMC3977586/ /pubmed/24471705 http://dx.doi.org/10.1021/ci400707h Text en Copyright © 2014 American Chemical Society Terms of Use CC-BY (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html)
spellingShingle Dempsey, Christopher E.
Wright, Dominic
Colenso, Charlotte K.
Sessions, Richard B.
Hancox, Jules C.
Assessing hERG Pore Models As Templates for Drug Docking Using Published Experimental Constraints: The Inactivated State in the Context of Drug Block
title Assessing hERG Pore Models As Templates for Drug Docking Using Published Experimental Constraints: The Inactivated State in the Context of Drug Block
title_full Assessing hERG Pore Models As Templates for Drug Docking Using Published Experimental Constraints: The Inactivated State in the Context of Drug Block
title_fullStr Assessing hERG Pore Models As Templates for Drug Docking Using Published Experimental Constraints: The Inactivated State in the Context of Drug Block
title_full_unstemmed Assessing hERG Pore Models As Templates for Drug Docking Using Published Experimental Constraints: The Inactivated State in the Context of Drug Block
title_short Assessing hERG Pore Models As Templates for Drug Docking Using Published Experimental Constraints: The Inactivated State in the Context of Drug Block
title_sort assessing herg pore models as templates for drug docking using published experimental constraints: the inactivated state in the context of drug block
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977586/
https://www.ncbi.nlm.nih.gov/pubmed/24471705
http://dx.doi.org/10.1021/ci400707h
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