Key Lab of Applied Mycology, College of Life Science, Qingdao Agricultural University, Qingdao 266109, China.
Key Lab of Applied Mycology, College of Life Science, Qingdao Agricultural University, Qingdao 266109, China.
J Biotechnol. 2019 Apr 10;295:9-18. doi: 10.1016/j.jbiotec.2019.01.023. Epub 2019 Mar 1.
The α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) subtype ionotropic glutamate receptors are attractive antiepileptic targets responsible for mediating the majority of excitatory neurotransmission and plasticity. The noncompetitive antagonists obtain more and more attention as drug candidates for treatment of the neurological diseases involving excessive activity of AMPARs, due to they regulate AMPA receptors (AMPARs) activity independently of endogenous glutamate levels unlike the competitive antagonists. Development of novel AMPAR noncompetitive antagonists, which are safer and more efficacious than competitive antagonists, is highly under demand. Here, we present the discovery of novel antagonists against AMPAR through Structure-Based Virtual Screening (SBVS). Three compounds were successfully distinguished by several different filtering strategies, namely STOCK6S-10902, STOCK1N-49134 and STOCK5S-68665. The interaction mode of these compounds was further explored through molecular dynamics simulation, binding free energy calculation and the binding free energy decomposition. It is demonstrated that some residues within the binding pocket, which have been proved their importance in antagonist binding and gating, form strong hydrogen bond interactions with these three molecules. In particular, H-bond interactions with high occupancies between Ser516, Ser788 and STOCK6S-10902 and Ser516, Asn791 and STOCK1N-49134 were observed. The three hit compounds with new scaffolds and the detailed binding modes could potentially serve as a starting point for further optimization and development.
α-氨基-3-羟基-5-甲基-4-异恶唑丙酸(AMPA)型离子型谷氨酸受体是有吸引力的抗癫痫靶点,负责介导大多数兴奋性神经递质传递和可塑性。由于它们独立于内源性谷氨酸水平调节 AMPA 受体(AMPAR)的活性,而非竞争性拮抗剂作为治疗涉及 AMPAR 过度活性的神经疾病的候选药物越来越受到关注。与竞争性拮抗剂相比,开发新型 AMPAR 非竞争性拮抗剂,更安全、更有效,是非常有必要的。在这里,我们通过基于结构的虚拟筛选(SBVS)发现了针对 AMPAR 的新型拮抗剂。通过几种不同的过滤策略,成功区分了三种化合物,即 STOCK6S-10902、STOCK1N-49134 和 STOCK5S-68665。通过分子动力学模拟、结合自由能计算和结合自由能分解进一步探讨了这些化合物的相互作用模式。结果表明,结合口袋内的一些残基,已被证明对拮抗剂结合和门控具有重要作用,与这三种分子形成强氢键相互作用。特别是在 STOCK6S-10902 和 Ser516、Ser788 之间以及 STOCK1N-49134 和 Ser516、Asn791 之间观察到高占有率的氢键相互作用。具有新骨架的三种命中化合物和详细的结合模式可能为进一步的优化和开发提供起点。