Medical Pharmacology and Toxicology, Department of Medical Biology, Faculty of Health Sciences, University of Tromsø, N-9037 Tromsø, Norway.
Eur J Med Chem. 2012 Jan;47(1):24-37. doi: 10.1016/j.ejmech.2011.09.056. Epub 2011 Oct 20.
The two main groups of antidepressant drugs, the tricyclic antidepressants (TCAs) and the selective serotonin reuptake inhibitors (SSRIs), as well as several other compounds, act by inhibiting the serotonin transporter (SERT). However, the binding mode and molecular mechanism of inhibition in SERT are not fully understood. In this study, five classes of SERT inhibitors were docked into an outward-facing SERT homology model using a new 4D ensemble docking protocol. Unlike other docking protocols, where protein flexibility is not considered or is highly dependent on the ligand structure, flexibility was here obtained by side chain sampling of the amino acids of the binding pocket using biased probability Monte Carlo (BPMC) prior to docking. This resulted in the generation of multiple binding pocket conformations that the ligands were docked into. The docking results showed that the inhibitors were stacked between the aromatic amino acids of the extracellular gate (Y176, F335) presumably preventing its closure. The inhibitors interacted with amino acids in both the putative substrate binding site and more extracellular regions of the protein. A general structure-docking-based pharmacophore model was generated to explain binding of all studied classes of SERT inhibitors. Docking of a test set of actives and decoys furthermore showed that the outward-facing ensemble SERT homology model consistently and selectively scored the majority of active compounds above decoys, which indicates its usefulness in virtual screening.
两类主要的抗抑郁药,三环类抗抑郁药(TCAs)和选择性 5-羟色胺再摄取抑制剂(SSRIs),以及其他几种化合物,通过抑制血清素转运蛋白(SERT)起作用。然而,SERT 中抑制的结合模式和分子机制尚未完全了解。在这项研究中,使用新的 4D 整体对接协议,将五类 SERT 抑制剂对接入外向型 SERT 同源模型中。与其他不考虑蛋白质灵活性或高度依赖配体结构的对接协议不同,这里通过使用有偏差概率的蒙特卡罗(BPMC)对结合口袋的侧链进行采样,从而获得了蛋白质灵活性。这导致配体被对接入多个结合口袋构象中。对接结果表明,抑制剂堆积在细胞外门的芳香族氨基酸(Y176、F335)之间,可能阻止其关闭。抑制剂与假定的底物结合位点和蛋白质更细胞外区域的氨基酸相互作用。生成了一个基于结构对接的药效团模型,以解释所有研究的 SERT 抑制剂类别的结合。活性和非活性化合物的测试集对接进一步表明,外向型整体 SERT 同源模型一致且选择性地对大多数活性化合物进行了评分,高于非活性化合物,这表明它在虚拟筛选中的有用性。