a Department of Chemistry , Istanbul Technical University , Istanbul , Turkey.
b Vocational School Department of Chemistry Technology , Istanbul Gedik University , Istanbul , Turkey.
J Biomol Struct Dyn. 2018 Aug;36(10):2668-2677. doi: 10.1080/07391102.2017.1365772. Epub 2017 Aug 22.
The dopamine D2 Receptor (D2R) is a member of the G-Protein-Coupled Receptor family and plays a critical role in neurotransmission activities in the human brain. Dysfunction in dopamine receptor signaling may lead to mental health illnesses such as schizophrenia and Parkinson's disease. D2R is the target protein of the commonly used antipsychotic drugs such as risperidone, clozapine, aripiprazole, olanzapine, ziprasidone, and quetiapine. Due to their significant side effects and non-selective profiles, the discovery of novel drugs has become a challenge for researchers working in this field. Recently, our group has focused on the interactions of these drug molecules in the active site of the D2R using different in silico approaches. We here compare the performances of different approaches in estimating the drug binding affinities using quantum chemical approaches. Conformations of drug molecules (ligands) at the binding site of the D2R taken from the preliminary docking studies and molecular dynamics simulations were used to generate protein-ligand interaction models. In a first approach, the BSSE-corrected interaction energies of the ligands with the most critical amino acid Asp114 and with the other amino acids closest to ligands in the binding cavity were calculated separately by density functional theory method in implicit water environment at the M06-2X/6-31 g(d,p) level of the theory. In a second approach, ligand binding affinities were calculated by taking into consideration not only the interaction energies but also deformation and desolvation energies of ligands with surrounding amino acid residues, in a radius of 5 Å of the protein-bound ligand. The quantum mechanically obtained results were compared with the experimentally obtained binding affinity values. We concluded that although H-bond interactions of ligands with Asp114 are the most dominant interaction in the binding site, if van der Waals and steric interactions of ligands which have cumulative effect on the ligand binding are not included in the calculations, the interaction energies are overestimated.
多巴胺 D2 受体(D2R)是 G 蛋白偶联受体家族的成员,在人类大脑的神经传递活动中发挥着关键作用。多巴胺受体信号传导功能障碍可能导致精神疾病,如精神分裂症和帕金森病。D2R 是常用抗精神病药物如利培酮、氯氮平、阿立哌唑、奥氮平、齐拉西酮和喹硫平的靶蛋白。由于它们的显著副作用和非选择性特征,新型药物的发现对从事该领域研究的人员来说是一个挑战。最近,我们小组专注于使用不同的计算方法研究这些药物分子在 D2R 活性部位的相互作用。我们在这里比较了使用量子化学方法估算药物结合亲和力的不同方法的性能。来自初步对接研究和分子动力学模拟的药物分子(配体)在 D2R 结合位点的构象用于生成蛋白质-配体相互作用模型。在第一种方法中,通过密度泛函理论方法在隐式水环境中,在 M06-2X/6-31g(d,p)理论水平上,分别计算配体与最关键的氨基酸天冬氨酸 114 和与结合腔中最接近配体的其他氨基酸的 BSSE 校正相互作用能。在第二种方法中,考虑到不仅配体与周围氨基酸残基的相互作用能,而且配体的变形和去溶剂化能,计算了配体的结合亲和力。在蛋白质结合配体的 5Å 半径内。将量子力学得到的结果与实验得到的结合亲和力值进行了比较。我们得出结论,尽管配体与 Asp114 的氢键相互作用是结合位点中最主要的相互作用,但如果不将配体的范德华和空间相互作用包括在计算中,这些相互作用能会被高估,而这些相互作用对配体结合有累积效应。