Citation: ZENG Ling-Xiao, LI Xin-Ran, JIN Hong-Wei, LIU Zhen-Ming, ZHANG Liang-Ren. Comparison of the Selectivity of Human Adenosine Receptor Anta nists Based on Structure and Pharmacophore Features[J]. Acta Physico-Chimica Sinica, ;2015, 31(8): 1584-1596. doi: 10.3866/PKU.WHXB201505253 shu

Comparison of the Selectivity of Human Adenosine Receptor Anta nists Based on Structure and Pharmacophore Features

1.
State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical, Peking University, Beijing 100191, P. R. China

Received Date: 17 April 2015
Available Online: 25 May 2015
Fund Project: 国家自然科学基金(21272017) (21272017)教育部博士点基金(20090001120049)资助项目 (20090001120049)

Adenosine receptors (ARs) are crucial therapeutic targets, and selective adenosine receptor anta nists are promising for numerous therapeutic applications. In this study, three dimensional models of human adenosine A₁, A_2B, and A₃ receptors (A₁AR, A_2BAR, A₃AR, respectively) were generated by homology modeling. In addition, pharmacophore models of the anta nists of four human adenosine receptor subtypes were developed using the LigandScout 3.12 program. Furthermore, Induced Fit Docking module of Schrödinger program was implemented to investigate receptor-ligand interactions. The results show that because of the subfamily-wide conservation of the core pocket residues, the ligand binding pockets of the three raw AR homology models are extremely similar, which poses challenges for subtype selective ligand recognition. However, the pharmacophore models of the four AR subtypes differ in pharmacophore features and spatial configuration, which are also consistent with previous site-directed mutagenesis studies. This indicates that binding site optimization is a crucial step in model generation, and the distributions for a set of pharmacophore features in ligand-based pharmacophore, including hydrogen bond acceptors, hydrogen bond donors, hydrophobic centroids, and aromatic rings, can reflect the position and direction characterization of hydrogen bonds and hydrophobic cavities, which aid identification and characterization of binding sites. This study may provide a significant theoretical foundation for further raw model optimization in homology modeling and discovery of novel selective human adenosine receptor anta nists.
- Pharmacophore,
- Human adenosine receptor,
- Anta nist,
- Selectivity
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