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A Temperature-dependent In Silico Model of the Human ether-à-go-go-related (hERG) Gene Channel

机译:人类随动相关(hERG)基因通道的温度依赖性计算机模拟模型

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摘要

IntroductionCurrent regulatory guidelines for assessing the risk of QT prolongation include in vitro assays assessing drug effects on the human ether-à-go-go-related (hERG; also known as Kv11.1) channel expressed in cell lines. These assays are typically conducted at room temperature to promote the ease and stability of recording hERG currents. However, the new Comprehensive in Vitro Proarrhythmia Assay (CiPA) paradigm proposes to use an in silico model of the human ventricular myocyte to assess risk, requiring as input hERG channel pharmacology data obtained at physiological temperatures. To accommodate current industry safety pharmacology practices for measuring hERG channel activity, an in silico model of hERG channel that allows for the extrapolation of hERG assay data across different temperatures is desired. Because temperature may have an effect on both channel gating and drug binding rate, such models may need to have two components: a base model dealing with temperature-dependent gating changes without drug, and a pharmacodynamic component simulating temperature-dependent drug binding kinetics. As a first step, a base mode that can capture temperature effects on hERG channel gating without drug is needed.
机译:简介当前评估QT延长风险的监管指南包括体外试验,该试验评估了药物对细胞系中表达的人类以太相关(hERG;也称为Kv11.1)通道的作用。这些测定通常在室温下进行,以促进记录hERG电流的简便性和稳定性。然而,新的综合体外心律失常测定法(CiPA)范式建议使用人心室肌细胞的计算机模型来评估风险,这需要在生理温度下获得的hERG通道药理学数据作为输入。为了适应当前用于测量hERG通道活性的工业安全药理学实践,需要一种hERG通道的计算机模型,该模型可在不同温度下外推hERG测定数据。由于温度可能同时影响通道门控和药物结合速率,因此此类模型可能需要具有两个组成部分:处理没有药物的温度依赖性门控变化的基本模型,以及模拟温度依赖性药物结合动力学的药效学组分。第一步,需要一种基本模式,无需药物即可捕获温度对hERG通道门控的影响。

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