计算体外原发性心律失常综合分析(CiPA)参考药物与心脏离子通道的结合自由能。

Biophysics and Physicobiology Pub Date : 2023-03-25 eCollection Date: 2023-01-01 DOI:10.2142/biophysico.bppb-v20.0016
Tatsuki Negami, Tohru Terada
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引用次数: 0

摘要

要准确评估促心律失常风险,就必须评估药物对多种心脏离子通道的抑制活性。此外,对药物对心脏通道的抑制活性进行硅学预测可以提高药物开发过程的效率。在此,我们利用两种心脏离子通道(人醚相关基因(hERG)钾通道和人NaV1.5(hNaV1.5)钠通道)与实验可用结构进行了分子对接模拟,以预测体外原发性心律失常综合测试联盟提出的25种参考药物的复合物结构。通过基于分子动力学的方法计算了预测结构的绝对结合自由能(ΔGbind)值,并与实验半最大抑制浓度(IC50)数据进行了比较。此外,计算值与实验 IC50 值的公共对数负值(pIC50)之间的回归分析表明,四种和十种药物的计算值分别明显偏离了 hERG 和 hNaV1.5 通道的回归线。我们根据实验数据重新考虑了药物的对接位置和质子化状态,并重新计算了它们的 ΔGbind 值。最后,计算出的 24 种药物和 19 种药物的 ΔGbind 值与其实验 pIC50 值相关(hERG 通道和 hNaV1.5 通道的决定系数分别为 0.791 和 0.613)。因此,计算出的ΔGbind与实验IC50数据之间的回归分析确保了实现更多可靠的复合物结构。
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Calculations of the binding free energies of the Comprehensive in vitro Proarrhythmia Assay (CiPA) reference drugs to cardiac ion channels.

The evaluation of the inhibitory activities of drugs on multiple cardiac ion channels is required for the accurate assessment of proarrhythmic risks. Moreover, the in silico prediction of such inhibitory activities of drugs on cardiac channels can improve the efficiency of the drug-development process. Here, we performed molecular docking simulations to predict the complex structures of 25 reference drugs that were proposed by the Comprehensive in vitro Proarrhythmia Assay consortium using two cardiac ion channels, the human ether-a-go-go-related gene (hERG) potassium channel and human NaV1.5 (hNaV1.5) sodium channel, with experimentally available structures. The absolute binding free energy (ΔGbind) values of the predicted structures were calculated by a molecular dynamics-based method and compared with the experimental half-maximal inhibitory concentration (IC50) data. Furthermore, the regression analysis between the calculated values and negative of the common logarithm of the experimental IC50 values (pIC50) revealed that the calculated values of four and ten drugs deviated significantly from the regression lines of the hERG and hNaV1.5 channels, respectively. We reconsidered the docking poses and protonation states of the drugs based on the experimental data and recalculated their ΔGbind values. Finally, the calculated ΔGbind values of 24 and 19 drugs correlated with their experimental pIC50 values (coefficients of determination=0.791 and 0.613 for the hERG and hNaV1.5 channels, respectively). Thus, the regression analysis between the calculated ΔGbind and experimental IC50 data ensured the realization of an increased number of reliable complex structures.

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