Toplak Žan, Hendrickx Louise Antonia, Gubič Špela, Možina Štefan, Žegura Bojana, Štern Alja, Novak Matjaž, Shi Xiaoyi, Peigneur Steve, Tytgat Jan, Tomašič Tihomir, Pardo Luis A, Mašič Lucija Peterlin
Faculty of Pharmacy, University of Ljubljana, Aškerčeva 7, 1000 Ljubljana, Slovenia.
Toxicology and Pharmacology, Campus Gasthuisberg, University of Leuven, Onderwijs en Navorsing 2, Herestraat 49, P.O. Box 922, 3000 Leuven, Belgium.
Cancers (Basel). 2021 Mar 12;13(6):1244. doi: 10.3390/cancers13061244.
(1) Background: The voltage-gated potassium channel K10.1 (Eag1) is considered a near- universal tumour marker and represents a promising new target for the discovery of novel anticancer drugs. (2) Methods: We utilized the ligand-based drug discovery methodology using 3D pharmacophore modelling and medicinal chemistry approaches to prepare a novel structural class of K10.1 inhibitors. Whole-cell patch clamp experiments were used to investigate potency, selectivity, kinetics and mode of inhibition. Anticancer activity was determined using 2D and 3D cell-based models. (3) Results: The virtual screening hit compound ZVS-08 discovered by 3D pharmacophore modelling exhibited an IC value of 3.70 µM against K10.1 and inhibited the channel in a voltage-dependent manner consistent with the action of a gating modifier. Structural optimization resulted in the most potent K10.1 inhibitor of the series with an IC value of 740 nM, which was potent on the MCF-7 cell line expressing high K10.1 levels and low hERG levels, induced significant apoptosis in tumour spheroids of Colo-357 cells and was not mutagenic. (4) Conclusions: Computational ligand-based drug design methods can be successful in the discovery of new potent K10.1 inhibitors. The main problem in the field of K10.1 inhibitors remains selectivity against the hERG channel, which needs to be addressed in the future also with target-based drug design methods.
(1)背景:电压门控钾通道K10.1(Eag1)被认为是一种几乎通用的肿瘤标志物,是发现新型抗癌药物的一个有前景的新靶点。(2)方法:我们利用基于配体的药物发现方法,采用三维药效团建模和药物化学方法,制备了一类新型结构的K10.1抑制剂。全细胞膜片钳实验用于研究其效力、选择性、动力学和抑制模式。使用基于二维和三维细胞的模型测定抗癌活性。(3)结果:通过三维药效团建模发现的虚拟筛选命中化合物ZVS-08对K10.1的IC值为3.70μM,并以电压依赖性方式抑制该通道,这与门控修饰剂的作用一致。结构优化产生了该系列中最有效的K10.1抑制剂,IC值为740 nM,对表达高K10.1水平和低hERG水平的MCF-7细胞系有效,在Colo-357细胞的肿瘤球体中诱导显著凋亡且无致突变性。(4)结论:基于计算配体的药物设计方法能够成功发现新的强效K10.1抑制剂。K10.1抑制剂领域的主要问题仍然是对hERG通道的选择性,未来也需要用基于靶点的药物设计方法来解决这一问题。