Key Laboratory of Structure-Based Drug Design & Discovery of Ministry of Education, School of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Shenyang, People's Republic of China.
Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, People's Republic of China.
J Biomol Struct Dyn. 2021 Jul;39(11):3975-3985. doi: 10.1080/07391102.2020.1772884. Epub 2020 Jun 8.
In recent reports, NR2B-NMDA receptor antagonists showed more research value because of its strong targeting ability and less side effects potential. In 2016, EVT-101 was reported to bind in an almost entirely new binding region of this target. Whether strikingly different binding modes can improve targeting and reduce side effects is worth studying. In our preliminary work, we explored the binding patterns of ifenprodil and EVT-101, found the key amino acids and summarized the pharmacophores, hoping to find such antagonists that target the two binding modes simultaneously. In this study, we developed a scalable virtual screening workflow in the FDA-approved drugs library to identify novel NR2B-NMDAR antagonists based on the combination of two pharmacophores. Cefpodoxime proxetil () was identified as the hit compound, and it was found for the first time that might have neuroprotective activity as a NR2B-NMDAR antagonist. This result interested us to make further study, the ligand-receptor interactions modeled by molecular docking studies showed that the compound could perfectly merge both the pharmacophore characteristics of ifenprodil and EVT-101 at the binding cavity between the ATDs of GluN1 and GluN2B. The accuracy of molecular docking results and binding stability of ligand-receptor complexes were validated through 100 ns molecular dynamics simulation and binding free energy calculation. Afterwards, MTT assay (49.8%±0.1%, 5 μM) on NMDA injured SH-SY5Y cells and evidence of the effect on attenuating Ca influx induced by NMDA were applied to validate the computational results, further investigation showed that could suppress the NR2B upregulation induced by NMDA. [Formula: see text] Communicated by Ramaswamy H. Sarma.
在最近的报告中,NR2B-NMDA 受体拮抗剂因其强大的靶向能力和较少的潜在副作用而显示出更大的研究价值。2016 年,有报道称 EVT-101 结合在该靶点的一个几乎全新的结合区域。不同的结合模式是否能提高靶向性和降低副作用值得研究。在我们的初步工作中,我们探索了ifenprodil 和 EVT-101 的结合模式,找到了关键的氨基酸,并总结了药效团,希望能找到同时针对这两种结合模式的拮抗剂。在这项研究中,我们开发了一种基于两个药效团组合的可扩展虚拟筛选工作流程,在 FDA 批准的药物库中筛选新型 NR2B-NMDAR 拮抗剂。头孢泊肟酯()被鉴定为命中化合物,我们首次发现其作为 NR2B-NMDAR 拮抗剂可能具有神经保护活性。这一结果引起了我们的兴趣,进一步的研究表明,分子对接研究模拟的配体-受体相互作用表明,该化合物可以完美地融合 ifenprodil 和 EVT-101 的药效团特征,位于 GluN1 和 GluN2B 的 ATD 结合腔中。通过 100ns 分子动力学模拟和结合自由能计算验证了分子对接结果的准确性和配体-受体复合物的结合稳定性。随后,我们应用 NMDA 损伤的 SH-SY5Y 细胞的 MTT 测定法(49.8%±0.1%,5μM)和减轻 NMDA 诱导的 Ca 内流的效果证据来验证计算结果,进一步的研究表明,能够抑制 NMDA 诱导的 NR2B 上调。[公式:见正文] 通讯作者:Ramaswamy H. Sarma。