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首页> 外文期刊>Journal of Biomolecular Structure and Dynamics >Differences in binding sites of two melatonin receptors help to explain their selectivity to some melatonin analogs: a molecular modeling study.
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Differences in binding sites of two melatonin receptors help to explain their selectivity to some melatonin analogs: a molecular modeling study.

机译:两种褪黑激素受体结合位点的差异有助于解释它们对某些褪黑激素类似物的选择性:分子建模研究。

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摘要

Numerous diseases have been linked to the malfunction of G-protein coupled receptors (GPCRs). Their adequate treatment requires rational design of new high-affinity and high-selectivity drugs targeting these receptors. In this work, we report three-dimensional models of the human MT(1) and MT(2) melatonin receptors, members of the GPCR family. The models are based on the X-ray structure of bovine rhodopsin. The computational approach employs an original procedure for optimization of receptor-ligand structures. It includes rotation of one of the transmembrane alpha-helices around its axis with simultaneous assessment of quality of the resulting complexes according to a number of criteria we have developed for this purpose. The optimal geometry of the receptor-ligand binding is selected based on the analysis of complementarity of hydrophobic/hydrophilic properties between the ligand and its protein environment in the binding site. The elaborated "optimized" models are employed to explore the details of protein-ligand interactions for melatonin and a number of its analogs with known affinity to MT(1) and MT(2) receptors. The models permit rationalization of experimental data, including those that were not used in model building. The perspectives opened by the constructed models and by the optimization procedure in the design of new drugs are discussed.
机译:许多疾病都与G蛋白偶联受体(GPCR)的功能失调有关。它们的适当治疗需要合理设计针对这些受体的新型高亲和力和高选择性药物。在这项工作中,我们报告人类MT(1)和MT(2)褪黑激素受体,GPCR家族成员的三维模型。这些模型基于牛视紫红质的X射线结构。该计算方法采用原始程序来优化受体-配体结构。它包括一个跨膜α螺旋围绕其轴的旋转,并根据我们为此目的开发的许多标准,同时评估所得复合物的质量。基于对配体与其在结合位点中的蛋白质环境之间的疏水性/亲水性的互补性的分析,选择受体-配体结合的最佳几何形状。精心设计的“优化”模型用于探索褪黑激素及其与MT(1)和MT(2)受体具有已知亲和力的许多类似物的蛋白质-配体相互作用的细节。这些模型允许合理化实验数据,包括那些未用于模型构建的数据。讨论了新药设计中所构建模型和优化程序所带来的前景。

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