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尿道选择性α1-肾上腺素受体拮抗剂药效团的构建

方浩, 卢景芬*, 夏霖   

  1. 1.北京大学天然药物与仿生药物国家重点实验室, 北京 100083;
    2.中国药科大学药物化学教研室, 南京 210009
  • 收稿日期:2003-04-21 修回日期:2003-11-10 出版日期:2003-12-15 发布日期:2003-12-15
  • 通讯作者: 卢景芬*

Constructing Biophore of Uroselective α1-Adrenoceptor antagonist

FANG Hao, LU Jing-fen*, XIA Lin   

  1. 1.State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100083, China;
    2.Department of Medicinal Chemistry, China Pharmaceutical University, Nanjing 210009, China
  • Received:2003-04-21 Revised:2003-11-10 Online:2003-12-15 Published:2003-12-15
  • Contact: LU Jing-fen*

摘要: 目的 建立具有尿道选择性α1-肾上腺素受体拮抗剂的药效团模型.方法 选择对受体亚型和尿道组织均有高亲和力的化合物, 经计算机建模、分子动力学优化、系统搜索得到一系列低能构象, 通过Apex-3D软件计算并构建药效团初步模型, 再参照已有的构效关系数据进行筛选、判别.结果 得到3个符合要求的药效团, 它们均含有一个碱性中心和芳环中心, 还存在一个氢位点(HST).结论 该模型有助于我们设计、合成活性高且副作用低的新型抗前列腺增生药物.

关键词: α1-肾上腺素受体, 拮抗剂, Apex-3D, 药效团

Abstract: Aim The biophore of uroselective α1-adrenoceptor antagonist was studied by using Apex-3D software on an O2 Silicon Graphics Computer Station. Methods Five known antagonists (Indoramin, GG-818, RS100975, R-YM12167, and KMD-3213), which possess both good selectivity and high affinities to prostate and α1-AR subtype, were chosen for building the biophore. Using an automatic filtering software for obtaining reasonable biophores, the filter parameters were se-lected: P (probability)>0.8, active (number of active compounds)≥4, and size (descriptor center)≥3. Results Three biophores conformed to the requirements, each of whom contained a basic center, an aromatic ring center and H-site according to the structure-activity relationships of known α1-adrenoceptor antagonist. Conclusion The biophore model de-veloped by computer simulation with Apex-3D software can be used to design and synthesize a new α1-adrenoceptor antago-nist with high activity and low side effect.

Key words: α1-adrenoceptor antagonist, α1-adrenoceptor antagonist, uroselectivity, uroselectivity, Apex-3D, Apex-3D, biophore, biophore

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Supporting: *Corresponding author. Tel.: 82801517; fax: 82802724