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新型多巴胺 D 和血清素 5-HT 受体双重拮抗剂设计用于治疗精神分裂症:基于 QSAR、分子对接、虚拟筛选和分子动力学模拟的综合研究。

Design of novel dopamine D and serotonin 5-HT receptors dual antagonists toward schizophrenia: An integrated study with QSAR, molecular docking, virtual screening and molecular dynamics simulations.

机构信息

School of Chemical and Environmental Engineering, Shanghai Institute of Technology, Shanghai, China.

出版信息

J Biomol Struct Dyn. 2020 Feb;38(3):860-885. doi: 10.1080/07391102.2019.1590244. Epub 2019 Mar 27.

Abstract

The extrapyramidal side effects of schizophrenia treatment can be significantly reduced by simultaneously targeting dopamine D and serotonin 5-HT receptors. In this study, three-dimensional quantitative structure-activity relationship (3D-QSAR) models of D receptor (CoMFA-1, = 0.767, = 0.969; CoMSIA-1, = 0.717, = 0.978) and 5-HT receptor antagonists (CoMFA-2, = 0.703, = 0.946; CoMSIA-2, = 0.675, = 0.916) were successfully constructed using 35 tetrahydropyridopyrimidinone derivatives. Topomer CoMFA and HQSAR models were then constructed to further validate and supplement above models. Results showed that all models had good predictive power and stability. Contour map analysis revealed that the electrostatic and hydrophobic fields played vital roles in the bioactivity of dual antagonists. Molecular docking and molecular dynamic studies also suggested that the hydrogen bonding, electrostatic and hydrophobic interactions played key roles in the formation of stable binding sites. Meanwhile, several key residues like ASP114, TRP100, PHE389 of dopamine D receptor and ASP134, PHE328, TRP324 of serotonin 5-HT receptor were identified. Based on above findings, seven compounds were obtained through bioisostere replacement and ten compounds were designed by contour map analysis, in which the predicted activity of compounds and were equivalent to that of the template compound . 3D-QSAR and ADMET predictions indicated that all newly designed compounds had great biological activity and physicochemical properties. Moreover, based on the best pharmacophore model, four compounds (, , and ) with new backbones were obtained by virtual screening. Overall, this study could provide theoretical guidance for the structural optimization, design and synthesis of novel dopamine D and serotonin 5-HT receptors dual antagonists. Abbreviations3D-QSARThree-dimensional quantitative structure-activity relationship5-HTRSerotonin 5-hydroxytryptamine 5-HT receptor5-HTRSerotonin 5-hydroxytryptamine 5-HT receptor receptorCADDComputer-aided drug designCoMFAComparative molecular field analysisCoMSIAComparative molecular similarity index analysisDRDopamine D(2) receptorGPCRG-protein coupled receptorPLSPartial least squares regressionHQSARHologram quantitative structure-activity relationship. Communicated by Ramaswamy H. Sarma.

摘要

精神分裂症治疗的锥体外系副作用可以通过同时针对多巴胺 D 和 5-羟色胺 5-HT 受体来显著降低。在这项研究中,使用 35 种四氢吡啶并嘧啶酮衍生物成功构建了 D 受体(CoMFA-1, = 0.767, = 0.969;CoMSIA-1, = 0.717, = 0.978)和 5-HT 受体拮抗剂(CoMFA-2, = 0.703, = 0.946;CoMSIA-2, = 0.675, = 0.916)的三维定量构效关系(3D-QSAR)模型。然后构建了拓扑 CoMFA 和 HQSAR 模型,以进一步验证和补充上述模型。结果表明,所有模型都具有良好的预测能力和稳定性。等高线图分析表明,静电和疏水性场在双拮抗剂的生物活性中起着至关重要的作用。分子对接和分子动力学研究还表明,氢键、静电和疏水相互作用在形成稳定的结合位点中起着关键作用。同时,鉴定出多巴胺 D 受体的关键残基如 ASP114、TRP100、PHE389 和 5-HT 受体的 ASP134、PHE328、TRP324。基于以上发现,通过生物等排体替换获得了 7 种化合物,通过等高线图分析设计了 10 种化合物,其中化合物 和 的预测活性与模板化合物相当。3D-QSAR 和 ADMET 预测表明,所有新设计的化合物都具有很强的生物活性和理化性质。此外,基于最佳药效基团模型,通过虚拟筛选获得了 4 种具有新骨架的化合物(、、和)。总的来说,这项研究可为新型多巴胺 D 和 5-HT 受体双拮抗剂的结构优化、设计和合成提供理论指导。

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