Aditi Agrawal, Ken Wang, Liudmila Polonchuk, Jonathan Cooper, Maurice Hendrix, David J Gavaghan, Gary R Mirams, Michael Clerx
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In this review, we describe and compare 73 published mammalian <math> <mrow><msub><mi>I</mi> <mi>CaL</mi></msub> </mrow> </math> models and use simulated experiments to show that there is a large variability in their predictions, which is not substantially diminished when grouping by species or other categories. We provide model code for 60 models, list major data sources, and discuss experimental and modeling work that will be required to reduce this huge list of competing theories and ultimately develop a community consensus model of <math> <mrow><msub><mi>I</mi> <mi>CaL</mi></msub> </mrow> </math> . 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引用次数: 0
摘要
L 型钙电流(I CaL)在心脏电生理学中起着至关重要的作用,I CaL 模型是预测药物和突变致心律失常性的重要工具。五十年来,对 I CaL 的测量和建模产生了多种相互竞争的理论(以数学公式编码)。然而,在引入新模型的同时,通常并没有与之前的工作进行数据驱动的批判性比较,因此目前还不清楚哪种模型最适合任何特定应用。在这篇综述中,我们描述并比较了已发表的 73 个哺乳动物 I CaL 模型,并通过模拟实验表明,这些模型的预测结果存在很大的变异性,按物种或其他类别分组后,这种变异性并没有明显减弱。我们提供了 60 个模型的模型代码,列出了主要的数据来源,并讨论了为减少这一庞大的相互竞争的理论清单并最终开发出一个群体共识的 I CaL 模型所需的实验和建模工作。本文归类为心血管疾病 > 计算模型 心血管疾病 > 分子和细胞生理学。
Models of the cardiac L-type calcium current: A quantitative review.
The L-type calcium current ( ) plays a critical role in cardiac electrophysiology, and models of are vital tools to predict arrhythmogenicity of drugs and mutations. Five decades of measuring and modeling have resulted in several competing theories (encoded in mathematical equations). However, the introduction of new models has not typically been accompanied by a data-driven critical comparison with previous work, so that it is unclear which model is best suited for any particular application. In this review, we describe and compare 73 published mammalian models and use simulated experiments to show that there is a large variability in their predictions, which is not substantially diminished when grouping by species or other categories. We provide model code for 60 models, list major data sources, and discuss experimental and modeling work that will be required to reduce this huge list of competing theories and ultimately develop a community consensus model of . This article is categorized under: Cardiovascular Diseases > Computational Models Cardiovascular Diseases > Molecular and Cellular Physiology.