González-Periañez Santiago, Hernández-Rosas Fabiola, López-Rosas Carlos Alberto, Ramos-Morales Fernando Rafael, Zurutuza-Lorméndez Jorge Iván, García-Rodríguez Rosa Virginia, Olivares-Romero José Luís, Ramos-Hernández Rodrigo Rafael, Bravo-Espinoza Ivette, Vidal-Limon Abraham, Pawar Tushar Janardan
Centro de Investigaciones Biomédicas, Doctorado en Ciencias Biomédicas, Universidad Veracruzana, Xalapa, Veracruz 91190, Mexico.
Facultad de Bioanálisis, Universidad Veracruzana, Calle Médicos y Odontólogos s/n, Unidad del Bosque, Xalapa, Veracruz 91010, Mexico.
Int J Mol Sci. 2025 Jul 15;26(14):6780. doi: 10.3390/ijms26146780.
Epilepsy remains a widespread neurological disorder, with approximately 30% of patients showing resistance to current antiepileptic therapies. To address this unmet need, a series of 2-(isoindolin-2-yl) esters derived from natural amino acids were designed and evaluated for their potential interaction with the GABA receptor. Sixteen derivatives were subjected to in silico assessments, including physicochemical and ADMET profiling, virtual screening-ensemble docking, and enhanced sampling molecular dynamics simulations (metadynamics calculations). Among these, compounds derived from the aromatic amino acids, phenylalanine, tyrosine, tryptophan, and histidine, exhibited superior predicted affinity, attributed to π-π stacking interactions at the benzodiazepine binding site of the GABA receptor. Based on computational performance, the tyrosine and tryptophan derivatives were synthesized and further assessed in vivo using the pentylenetetrazole-induced seizure model in zebrafish (). The tryptophan derivative produced comparable behavioral seizure reduction to the reference drug diazepam at the tested concentrations. The results implies that aromatic amino acid-derived isoindoline esters are promising anticonvulsant candidates and support the hypothesis that π-π interactions may play a critical role in modulating GABA receptor binding affinity.
癫痫仍然是一种广泛存在的神经系统疾病,约30%的患者对目前的抗癫痫疗法表现出耐药性。为了满足这一未被满足的需求,设计并评估了一系列源自天然氨基酸的2-(异吲哚啉-2-基)酯与GABA受体的潜在相互作用。对16种衍生物进行了计算机模拟评估,包括物理化学和ADMET分析、虚拟筛选-整体对接以及增强采样分子动力学模拟(元动力学计算)。其中,源自芳香族氨基酸苯丙氨酸、酪氨酸、色氨酸和组氨酸的化合物表现出优异的预测亲和力,这归因于在GABA受体苯二氮䓬结合位点的π-π堆积相互作用。基于计算结果,合成了酪氨酸和色氨酸衍生物,并在斑马鱼戊四氮诱导的癫痫模型中进行了进一步的体内评估()。在所测试的浓度下,色氨酸衍生物产生的行为性癫痫发作减少效果与参考药物地西泮相当。结果表明,源自芳香族氨基酸的异吲哚啉酯是有前景的抗惊厥候选物,并支持π-π相互作用可能在调节GABA受体结合亲和力中起关键作用的假设。