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New Insights into Ion Channels: Predicting hERG-Drug Interactions

Drug-induced long QT syndrome can be a very dangerous side effect of existing and developmental drugs. In this work, a model proposed two decades ago addressing the ion specificity of potassium channels is extended to the human ether-à-gogo gene (hERG). hERG encodes the protein that assembles into t...

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Autor principal: Wempe, Michael Fitzpatrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503154/
https://www.ncbi.nlm.nih.gov/pubmed/36142644
http://dx.doi.org/10.3390/ijms231810732
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author Wempe, Michael Fitzpatrick
author_facet Wempe, Michael Fitzpatrick
author_sort Wempe, Michael Fitzpatrick
collection PubMed
description Drug-induced long QT syndrome can be a very dangerous side effect of existing and developmental drugs. In this work, a model proposed two decades ago addressing the ion specificity of potassium channels is extended to the human ether-à-gogo gene (hERG). hERG encodes the protein that assembles into the potassium channel responsible for the delayed rectifier current in ventricular cardiac myocytes that is often targeted by drugs associated with QT prolongation. The predictive value of this model can guide a rational drug design decision early in the drug development process and enhance NCE (New Chemical Entity) retention. Small molecule drugs containing a nitrogen that can be protonated to afford a formal +1 charge can interact with hERG to prevent the repolarization of outward rectifier currents. Low-level ab initio calculations are employed to generate electronic features of the drug molecules that are known to interact with hERG. These calculations were employed to generate structure–activity relationships (SAR) that predict whether a small molecule drug containing a protonated nitrogen has the potential to interact with and inhibit the activity of the hERG potassium channels of the heart. The model of the mechanism underlying the ion specificity of potassium channels offers predictive value toward optimizing drug design and, therefore, minimizes the effort and expense invested in compounds with the potential for life-threatening inhibitory activity of the hERG potassium channel.
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spelling pubmed-95031542022-09-24 New Insights into Ion Channels: Predicting hERG-Drug Interactions Wempe, Michael Fitzpatrick Int J Mol Sci Article Drug-induced long QT syndrome can be a very dangerous side effect of existing and developmental drugs. In this work, a model proposed two decades ago addressing the ion specificity of potassium channels is extended to the human ether-à-gogo gene (hERG). hERG encodes the protein that assembles into the potassium channel responsible for the delayed rectifier current in ventricular cardiac myocytes that is often targeted by drugs associated with QT prolongation. The predictive value of this model can guide a rational drug design decision early in the drug development process and enhance NCE (New Chemical Entity) retention. Small molecule drugs containing a nitrogen that can be protonated to afford a formal +1 charge can interact with hERG to prevent the repolarization of outward rectifier currents. Low-level ab initio calculations are employed to generate electronic features of the drug molecules that are known to interact with hERG. These calculations were employed to generate structure–activity relationships (SAR) that predict whether a small molecule drug containing a protonated nitrogen has the potential to interact with and inhibit the activity of the hERG potassium channels of the heart. The model of the mechanism underlying the ion specificity of potassium channels offers predictive value toward optimizing drug design and, therefore, minimizes the effort and expense invested in compounds with the potential for life-threatening inhibitory activity of the hERG potassium channel. MDPI 2022-09-14 /pmc/articles/PMC9503154/ /pubmed/36142644 http://dx.doi.org/10.3390/ijms231810732 Text en © 2022 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wempe, Michael Fitzpatrick
New Insights into Ion Channels: Predicting hERG-Drug Interactions
title New Insights into Ion Channels: Predicting hERG-Drug Interactions
title_full New Insights into Ion Channels: Predicting hERG-Drug Interactions
title_fullStr New Insights into Ion Channels: Predicting hERG-Drug Interactions
title_full_unstemmed New Insights into Ion Channels: Predicting hERG-Drug Interactions
title_short New Insights into Ion Channels: Predicting hERG-Drug Interactions
title_sort new insights into ion channels: predicting herg-drug interactions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503154/
https://www.ncbi.nlm.nih.gov/pubmed/36142644
http://dx.doi.org/10.3390/ijms231810732
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