Yu Hai-bo, Zou Bei-yan, Wang Xiao-liang, Li Min
State Key Laboratory of Bioactive Substances and Functions of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
The Solomon H Snyder Department of Neuroscience, High Throughput Biology Center and Johns Hopkins Ion Channel Center (JHICC), Johns Hopkins University, Baltimore, MD 21205, USA.
Acta Pharmacol Sin. 2016 Jan;37(1):111-23. doi: 10.1038/aps.2015.143.
hERG potassium channels display miscellaneous interactions with diverse chemical scaffolds. In this study we assessed the hERG inhibition in a large compound library of diverse chemical entities and provided data for better understanding of the mechanisms underlying promiscuity of hERG inhibition.
Approximately 300 000 compounds contained in Molecular Library Small Molecular Repository (MLSMR) library were tested. Compound profiling was conducted on hERG-CHO cells using the automated patch-clamp platform-IonWorks Quattro(™).
The compound library was tested at 1 and 10 μmol/L. IC50 values were predicted using a modified 4-parameter logistic model. Inhibitor hits were binned into three groups based on their potency: high (IC50<1 μmol/L), intermediate (1 μmol/L< IC50<10 μmol/L), and low (IC50>10 μmol/L) with hit rates of 1.64%, 9.17% and 16.63%, respectively. Six physiochemical properties of each compound were acquired and calculated using ACD software to evaluate the correlation between hERG inhibition and the properties: hERG inhibition was positively correlative to the physiochemical properties ALogP, molecular weight and RTB, and negatively correlative to TPSA.
Based on a large diverse compound collection, this study provides experimental evidence to understand the promiscuity of hERG inhibition. This study further demonstrates that hERG liability compounds tend to be more hydrophobic, high-molecular, flexible and polarizable.
人乙醚 - 去极化相关基因(hERG)钾通道与多种化学骨架存在多种相互作用。在本研究中,我们评估了一个包含多种化学实体的大型化合物库对hERG的抑制作用,并提供数据以更好地理解hERG抑制多效性的潜在机制。
测试了分子库小分子储存库(MLSMR)库中包含的约300000种化合物。使用自动膜片钳平台 - IonWorks Quattro(™)对hERG - CHO细胞进行化合物分析。
化合物库在1和10 μmol/L浓度下进行测试。使用改良的四参数逻辑模型预测半数抑制浓度(IC50)值。根据抑制剂的效力将命中的抑制剂分为三组:高(IC50 <1 μmol/L)、中(1 μmol/L <IC50 <10 μmol/L)和低(IC50> 10 μmol/L),命中率分别为1.64%、9.17%和16.63%。使用ACD软件获取并计算每种化合物的六种物理化学性质,以评估hERG抑制与这些性质之间的相关性:hERG抑制与物理化学性质ALOGP、分子量和RTB呈正相关,与总极性表面积(TPSA)呈负相关。
基于大量不同的化合物集合,本研究为理解hERG抑制的多效性提供了实验证据。本研究进一步表明,具有hERG相关风险的化合物往往更疏水、高分子量、具有柔性且可极化。