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受分子动力学模拟的启发,通过计算探索含GluN2B的N-甲基-D-天冬氨酸受体抑制剂的酒精提取物的化学成分。

Inspired by molecular dynamic simulation, exploring chemical constituents of alcoholic extract of computationally as inhibitors of GluN2B-containing NMDA receptors.

作者信息

Shinge Jagannath, Muthal Amol, Walhekar Vinayak, Bagul Chandrakant, Kumar Dileep, V M Chandrashekar, Macha Baswaraj, Shinde Vaibhav, Palled Mahesh, Kulkarni Ravindra

机构信息

Shri Vitthal Education & Research Institutes, College of Pharmacy, Pandharpur, Maharashtra, India.

Department of Pharmacology, D.S.T.S. Mandal's College of Pharmacy, Solapur, Maharashtra, India.

出版信息

J Biomol Struct Dyn. 2025 Apr 1:1-15. doi: 10.1080/07391102.2025.2477776.

Abstract

a tree spotted in the Asian continent constitutes of constellation of phytochemicals in the whole tree from which the alcoholic extract of the leaf is the abundant source. The phytochemicals namely Amentoflavone, Garuganin-1, Garuganin-3, Garuganin-4, and Garuganin-5 were considered for the study as they have the anti-Alzheimer's potential but the biological target has not been reported. So, to identify the target the phytochemicals were scrutinized by employing methodologies namely molecular docking, molecular dynamics simulation, and ADMET prediction. Molecular docking revealed that Amentoflavone occupied the active site of the NMDA, and established interactions with Gln110, Glu236, Ile133, and Asp136 with an excellent docking score of -8.535 kcal/mol. Amentoflavone with the best docking score was selected for molecular dynamics which revealed that Amentoflavone maintained stability in the active site of the NMDA receptor with three hydrogen bond interactions in 100 ns time scale of the trajectory. Amentoflavone demonstrated an encouraging ADMET profile as compared to other phytochemicals. In the nut shell Amentoflavone displayed excellent results and further may demonstrate an excellent NMDA inhibitory potential.

摘要

在亚洲大陆发现的一种树含有整棵树的一系列植物化学物质,其中树叶的乙醇提取物是丰富的来源。植物化学物质即穗花杉双黄酮、加鲁苷-1、加鲁苷-3、加鲁苷-4和加鲁苷-5被纳入研究,因为它们具有抗阿尔茨海默病的潜力,但尚未报道其生物学靶点。因此,为了确定靶点,通过分子对接、分子动力学模拟和ADMET预测等方法对这些植物化学物质进行了仔细研究。分子对接显示穗花杉双黄酮占据了NMDA的活性位点,并与Gln110、Glu236、Ile133和Asp136建立了相互作用,对接分数高达-8.535 kcal/mol。选择对接分数最佳的穗花杉双黄酮进行分子动力学研究,结果显示穗花杉双黄酮在100 ns的轨迹时间尺度内在NMDA受体的活性位点保持稳定,有三个氢键相互作用。与其他植物化学物质相比,穗花杉双黄酮表现出令人鼓舞的ADMET特性。简而言之,穗花杉双黄酮显示出优异的结果,进一步可能显示出优异的NMDA抑制潜力。

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