Biogen, Cambridge, Massachusetts 02142, United States.
OpenEye Scientific, Santa Fe, New Mexico 87507, United States.
Chem Res Toxicol. 2022 Aug 15;35(8):1359-1369. doi: 10.1021/acs.chemrestox.2c00036. Epub 2022 Jul 27.
Molecular dynamics was used to optimize the droperidol-hERG complex obtained from docking. To accommodate the inhibitor, residues T623, S624, V625, G648, Y652, and F656 did not move significantly during the simulation, while F627 moved significantly. Binding sites in cryo-EM structures and in structures obtained from molecular dynamics simulations were characterized using solvent mapping and Atlas ligands, which were negative images of the binding site, were generated. Atlas ligands were found to be useful for identifying human ether-á-go-go-related potassium channel (hERG) inhibitors by aligning compounds to them or by guiding the docking of compounds in the binding site. A molecular dynamics optimized structure of hERG led to improved predictions using either compound alignment to the Atlas ligand or docking. The structure was also found to be suitable to define a strategy for lowering inhibition based on the proposed binding mode of compounds in the channel.
采用分子动力学优化了对接得到的droperidol-hERG 复合物。为了容纳抑制剂,在模拟过程中,残基 T623、S624、V625、G648、Y652 和 F656 没有明显移动,而 F627 则明显移动。使用溶剂映射和 Atlas 配体对低温电镜结构和分子动力学模拟得到的结构中的结合位点进行了特征描述,生成了结合位点的负像。Atlas 配体通过将化合物与之对齐或指导化合物在结合位点中的对接,对于识别人 ether-á-go-go 相关钾通道 (hERG) 抑制剂非常有用。优化后的 hERG 分子动力学结构通过化合物与 Atlas 配体的对齐或对接,提高了预测的准确性。该结构也适合定义一种基于化合物在通道中拟议结合模式的降低抑制策略。