虚拟筛选
兴奋剂
化学
对接(动物)
部分激动剂
生物信息学
药理学
受体
生物信息学
药物发现
医学
生物
生物化学
基因
护理部
作者
Vasavi Garisetti,Anantha Krishnan Dhanabalan,D. Gayathri
标识
DOI:10.1016/j.ijbiomac.2024.130528
摘要
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.
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