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发现针对神经和精神疾病的潜在 TAAR1 激动剂:一种计算方法。

Discovery of potential TAAR1 agonist targeting neurological and psychiatric disorders: An in silico approach.

机构信息

Centre of Advanced Study in Crystallography and Biophysics, University of Madras, Guindy Campus, Chennai 600025, Tamil Nadu, India.

Centre of Advanced Study in Crystallography and Biophysics, University of Madras, Guindy Campus, Chennai 600025, Tamil Nadu, India.

出版信息

Int J Biol Macromol. 2024 Apr;264(Pt 2):130528. doi: 10.1016/j.ijbiomac.2024.130528. Epub 2024 Feb 29.

Abstract

Trace amine-associated receptor 1 (TAAR1) is a G-protein-coupled receptor which is primarily expressed in the brain. It is activated by trace amines which play a role in regulating neurotransmitters like dopamine, serotonin and norepinephrine. TAAR1 agonists have potential applications in the treatment of neurological and psychiatric disorders, especially schizophrenia. In this study, we have used a structure-based virtual screening approach to identify potential TAAR1 agonist(s). We have modelled the structure of TAAR1 and predicted the binding pocket. Further, molecular docking of a few well-known antipsychotic drugs was carried out with TAAR1 model, which showed key interactions with the binding pocket. From screening a library of 5 million compounds from the Enamine REAL Database using structure-based virtual screening method, we shortlisted 12 compounds which showed good docking score, glide energy and interactions with the key residues. One lead compound (Z31378290) was finally selected. The lead compound showed promising binding affinity and stable interactions with TAAR1 during molecular dynamics simulations and demonstrated better van der Waals and binding energy than the known agonist, ulotaront. Our findings suggest that the lead compound may serve as a potential TAAR1 agonist, offering a promising avenue for the development of new therapies for neurological and psychiatric disorders.

摘要

痕量胺相关受体 1(TAAR1)是一种主要在大脑中表达的 G 蛋白偶联受体。它被痕量胺激活,痕量胺在调节多巴胺、血清素和去甲肾上腺素等神经递质方面发挥作用。TAAR1 激动剂在治疗神经和精神疾病方面具有潜在的应用,特别是精神分裂症。在这项研究中,我们使用基于结构的虚拟筛选方法来鉴定潜在的 TAAR1 激动剂。我们构建了 TAAR1 的结构并预测了结合口袋。进一步,我们对 TAAR1 模型进行了一些著名抗精神病药物的分子对接,结果显示与结合口袋有关键相互作用。使用基于结构的虚拟筛选方法从 Enamine REAL 数据库中的 500 万化合物库中进行筛选,我们筛选出了 12 种具有良好对接评分、Glide 能量和与关键残基相互作用的化合物。最终选择了一种先导化合物(Z31378290)。该先导化合物在分子动力学模拟中显示出与 TAAR1 有良好的结合亲和力和稳定的相互作用,并表现出比已知激动剂 ulotaront 更好的范德华力和结合能。我们的研究结果表明,该先导化合物可能作为一种潜在的 TAAR1 激动剂,为开发治疗神经和精神疾病的新疗法提供了有前途的途径。

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