GPR139的三维结构预测及分子动力学模拟研究

A. Kaushik, S. Sahi
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引用次数: 1

摘要

g蛋白偶联受体(gpcr)的基本特征是在人体不同细胞中表达差异。孤儿gpcr的内源性底物尚不清楚,但据报道它们是药物中的主要药物靶点。可能的g蛋白偶联受体139 (Probable G-protein coupled receptor 139, GPR139)存在于人体内,由GPR139基因编码,属于A类GPCR。采用线程法和从头算法对GPR139进行了三维结构预测。为优化模型选择,对模型进行了验证和标注。对GPR139进行了300ns的分子动力学(MD)模拟,研究了预测模型的可变性以及7个tans膜(7TM)结构域和活性位点的波动。鉴定活性位点残基以研究抑制蛋白质二聚化和神经肽受体活性的潜在配体结合位点。GPR139的3d结构将有利于虚拟筛选研究,以确定潜在的先导化合物用于治疗目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D structure prediction and molecular dynamics simulation studies of GPR139
Basic characteristic feature of G-protein coupled receptors (GPCRs) is that they are differentially expressed in different cells in the human body. Orphan GPCRs endogenous substrates are unknown but they are reported to be involved as major drug targets in pharmaceuticals. Probable G-protein coupled receptor 139 (GPR139), belonging to class A GPCR, is present in humans and is encoded by GPR139 gene. 3D structure prediction of GPR139 was done using threading and ab initio methods. The validation and annotation were carried out for optimized model selection. Molecular dynamics (MD) simulation of GPR139 was performed for 300ns to investigate variability of predicted model as well as seven tans membrane (7TM) domain and active site fluctuation. The active site residues were identified to investigate the potential ligand binding sites for inhibition of protein dimerization and neuropeptide receptor activity. The 3D-structure of GPR139 will be beneficial in virtual screening studies to identify potential lead compounds for therapeutic purpose.
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