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5-HT重摄取抑制剂的三维定量构效关系研究

Studies on the Three Dimensional Quantitative Structure-activity Relationship of Serotonin Reuptake Inhibitors

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【作者】 时煜王小芳杨光中

【Author】 SHI Yu, WANG Xiao-fang, YANG Guang-zhong(Institute of Materia Medico,, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China)

【机构】 中国医学科学院中国协和医科大学药物研究所北京大学药学院中国医学科学院中国协和医科大学药物研究所 北京100050北京100083北京100050

【摘要】 目的:建立可提示高活性5-HT重摄取抑制剂分子结构信息的三维定量构效关系模型,深入研究结构-活性间的关系,指导新化合物的设计。方法和结果:通过确定分子的药效构象,与选定的模板分子(sertraline)进行atom to atom叠合,采用比较分子立场分析法建立67个5-HT重摄取抑制剂的3D-QSAR模型,模型的交叉验证相关系数Rcv2=0.614,传统相关系数R2=0.988,F=456.172,标准偏差SEE=0.134。结论:该模型在一定程度上反映了结合部位的性质要求,解释了已有的构效关系,并对同类化合物的预测能力较好,系数等势图映射的受体结合部位的性质对新化合物的设计具有一定的指导意义。

【Abstract】 AIM to quatitatively disclose the relationship between structure and activety of a series of serotonin reuplake inhibitors and direct the design of novel potent selective serotonin reuptake inhibitors. METHODS AND RESULTS Sixty 5-HT reuplake inhibitors from literature as a training set were investigated with the aim of developing a 3D-QSAR model using the comparative molecular field analysis (CoMFA) . The predictive pharmacophore model shows a higher ability to explain and predict the activity of serotonin reuptake inhibitors, with the cross-validation Rcv2 = 0.614, non cross-validation R2 = 0.988, F = 456.172, and SEE (standard err of estimate) =0.134. Seven Compounds were selected as a predicting set, the low deviations of calculated values from the measured ones suggesting a powerful predictive ability of the model. CONCLUSION The 3D-QSAR explains the dependence of upon the structures of the compounds. Some structure information for design of new 5-HT reuptake inhibitors with higher activity has been given.

【基金】 国家自然科学基金重点资助项目(No.29836140)
  • 【文献出处】 计算机与应用化学 ,Computers and Applied Chemistry , 编辑部邮箱 ,2002年Z1期
  • 【分类号】TQ460.1
  • 【被引频次】5
  • 【下载频次】98
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