摘要
组胺H_3受体在体内参与调节很多神经递质的释放。人们预期,H_3受体拮抗剂将临床应用于老年性痴呆症、抑郁症、精神分裂症等中枢性疾病。本文使用三维定量构效关系研究方法,包括比较分子场分析法(CoMFA)和比较分子相似性指数分析法(CoMSIA),研究芳基苯并呋喃类H_3受体拮抗剂的分子结构与生物活性之间的定量关系。本文使用CoMSIA法所获建三维定量构效关系模型,其交叉验证系数q^2为0.646,非交叉验证相关系数R^2为0.920,表明模型预测能力较好,同时使用"留八法"证实模型的稳定和可靠。模型中各分子场的贡献为:立体场10.4%、静电场56.9%和疏水场32.7%。三维系数等势图和静电势图显示:母核3′和4′位上的取代基对活性影响较大,估计它们是配体与受体作用的位点。本研究结果可为设计和开发活性更高的该类拮抗剂提供理论参考。
Histamine H3 receptor (H3 R) modulated the release of many neurotransmitters. The central effects of this receptor suggested a potential therapeutic role for its antagonists in treatment of several neurological disorders such as epilepsy, schizophrenia, Alzheimer's and Parkinson's diseases. To identify the structure-activity relationships for arylbenzofuran series H3 antagonists, 3D quantitative structure-activity relationships (3D-QSAR) models were formulated based on the CoMFA and CoMSIA analyses. In the present study, a reasonable CoMSIA model with the combination of steric, electrostatic, and hydrophobic fields achieved the highest q^2 value (q^2 = 0. 646 and R^2 =0. 920) and the contributions of these fields were 10. 4%, 56.9%, and 32. 7%, respectively. The contour maps from this model and electrostatic potential (ESP) surfaces revealed that the substituents at the 3′ and 4′ ring positions greatly influence the binding affinities. This model derived can be useful for the design of new arylbenzofuran derivatives with enhanced inhibition against histamine H3 receptor.
出处
《计算机与应用化学》
CAS
CSCD
北大核心
2009年第1期39-43,共5页
Computers and Applied Chemistry
基金
中山大学"百人计划"启动基金.