Computational Biology and Molecular Simulations Laboratory, Department of Biophysics, School of Medicine, Bahcesehir University (BAU), Istanbul, Turkey.
Computational Biology and Molecular Simulations Laboratory, Department of Biophysics, School of Medicine, Bahcesehir University (BAU), Istanbul, Turkey; Department of Chemistry, Gebze Technical University, Kocaeli, Turkey.
J Mol Graph Model. 2018 Jan;79:103-117. doi: 10.1016/j.jmgm.2017.10.011. Epub 2017 Oct 18.
Angiotensin II receptor type 1 (AT1) antagonists are the most recent drug class against hypertension. Recently first crystal structure of AT1 receptor is deposited to the protein data bank (PDB ID: 4YAY). In this work, several molecular screening methods such as molecular docking and de novo design studies were performed and it is found that oxazolone and imidazolone derivatives reveal similar/better interaction energy profiles compared to the FDA approved sartan molecules at the binding site of the AT1 receptor. A database consisting of 3500-fragments were used to enumerate de novo designed imidazolone and oxazolone derivatives and hereby more than 50000 novel small molecules were generated. These derivatives were then used in high throughput virtual screening simulations (Glide/HTVS) to find potent hit molecules. In addition, virtual screening of around 18 million small drug-like compounds from ZINC database were screened at the binding pocket of the AT1 receptor via Glide/HTVS method. Filtered structures were then used in more sophisticated molecular docking simulations protocols (i.e., Glide/SP; Glide/XP; Glide/IFD; Glide/QPLD, and GOLD). However, the K ion channel/drug interactions should also be considered in studies implemented in molecular level against their cardiovascular risks. Thus, selected compounds with high docking scores via all diverse docking algorithms are also screened at the pore domain regions of human ether-a-go-go-related gene (hERG1) K channel to remove the high affinity hERG1 blocking compounds. High docking scored compounds at the AT1 with low hERG1 affinity is considered for long molecular dynamics (MD) simulations. Post-processing analysis of MD simulations assisted for better understanding of molecular mechanism of studied compounds at the binding cavity of AT1 receptor. Results of this study can be useful for designing of novel and safe AT1 inhibitors.
血管紧张素 II 受体 1 型(AT1)拮抗剂是最新的抗高血压药物类别。最近,AT1 受体的首个晶体结构已被存入蛋白质数据库(PDB ID:4YAY)。在这项工作中,我们进行了多种分子筛选方法,如分子对接和从头设计研究,结果发现恶唑酮和咪唑啉酮衍生物在 AT1 受体的结合部位与已批准的沙坦类药物相比,具有相似/更好的相互作用能谱。我们使用了一个包含 3500 个片段的数据库,来枚举从头设计的恶唑酮和咪唑啉酮衍生物,从而生成了超过 50000 个新的小分子。然后,我们将这些衍生物用于高通量虚拟筛选模拟(Glide/HTVS)中,以寻找有效的命中分子。此外,我们还通过 Glide/HTVS 方法,在 AT1 受体的结合口袋中筛选了来自 ZINC 数据库的约 1800 万个小分子药物样化合物。然后,使用更复杂的分子对接模拟方案(即 Glide/SP;Glide/XP;Glide/IFD;Glide/QPLD 和 GOLD)对筛选出的结构进行进一步分析。然而,在分子水平上针对心血管风险进行研究时,也应考虑 K 离子通道/药物相互作用。因此,我们还通过各种不同的对接算法,对具有高对接得分的化合物进行了人 ether-a-go-go 相关基因(hERG1)K 通道孔域的筛选,以去除对 hERG1 亲和力高的化合物。对 AT1 具有高对接得分且对 hERG1 亲和力低的化合物被认为具有长分子动力学(MD)模拟的潜力。MD 模拟的后处理分析有助于更好地理解研究化合物在 AT1 受体结合腔内的分子机制。这项研究的结果可用于设计新型和安全的 AT1 抑制剂。