five

Discovery of Brain-Penetrative Negative Allosteric Modulators of NMDA Receptors Using FEP-Guided Structure Optimization and Membrane Permeability Prediction

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://figshare.com/articles/dataset/Discovery_of_Brain-Penetrative_Negative_Allosteric_Modulators_of_NMDA_Receptors_Using_FEP-Guided_Structure_Optimization_and_Membrane_Permeability_Prediction/28208378
下载链接
链接失效反馈
官方服务:
资源简介:
N-Methyl-d-aspartate (NMDA) receptors, a subtype of ionotropic glutamate receptors in the central nervous system (CNS), have garnered attention for their role in brain disorders. Specifically, GluN2A-containing NMDA receptors have emerged as a potential therapeutic target for the treatment of depressive disorders and epilepsy. However, the development of GluN2A-containing NMDA receptor-selective antagonists, represented by N-(4-(2-benzoylhydrazine-1-carbonyl)benzyl)-3-chloro-4-fluorobenzenesulfonamide (TCN-201) and its derivatives, faces a significant challenge due to their limited ability to penetrate the blood–brain barrier (BBB), hampering their in vivo characterization and further advancement. In this study, we reported a series of 2-((5-(phemylamino)-1,3,4-thiadiazol-2-yl)thio)-N-(cyclohexylmethyl)acetamide derivatives, achieved through a structure-guided optimization strategy using free energy perturbation (FEP) and BBB permeability estimation. Through systematic exploration of various phenyl substitutions, compound 1f emerged as a standout compound, demonstrating substantially enhanced inhibitory activity compared with the lead compound TCN-213. Compound 1f not only displayed satisfactory BBB permeability but also showed antidepressant-like potency in the hydrocortisone-induced zebrafish depression-like model. All results position it as a promising candidate for developing innovative therapeutics for NMDA receptor-related disorders.

N-甲基-D-天冬氨酸(NMDA)受体是中枢神经系统(CNS)内离子型谷氨酸受体的一个亚型,因其在脑部疾病中的作用而受到广泛关注。具体而言,含GluN2A亚基的NMDA受体已成为治疗抑郁障碍与癫痫的潜在治疗靶点。然而,以N-(4-(2-苯甲酰肼基-1-羰基)苄基)-3-氯-4-氟苯磺酰胺(TCN-201)及其衍生物为代表的含GluN2A亚基NMDA受体选择性拮抗剂的开发面临重大挑战:这类化合物穿透血脑屏障(BBB)的能力有限,阻碍了其体内表征与进一步研发。本研究报道了一系列2-((5-(苯氨基)-1,3,4-噻二唑-2-基)硫代)-N-(环己基甲基)乙酰胺衍生物,通过采用自由能微扰(FEP)与血脑屏障通透性预测的结构导向优化策略获得。通过对多种苯环取代模式的系统探索,化合物1f脱颖而出,相较于先导化合物TCN-213展现出显著增强的抑制活性。化合物1f不仅表现出良好的血脑屏障通透性,在氢化可的松诱导的斑马鱼抑郁样模型中也显示出类抗抑郁活性。所有研究结果均表明,该化合物有望成为开发NMDA受体相关疾病创新疗法的候选化合物。
创建时间:
2025-01-14
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作