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治疗慢性肾病中药的计算机药理学研究
引用本文:朱伟,吴钉红,丘小惠,徐文.治疗慢性肾病中药的计算机药理学研究[J].中国中药杂志,2010,35(23):3211-3215.
作者姓名:朱伟  吴钉红  丘小惠  徐文
作者单位:广东省中医院,广东,广州,510006
基金项目:国家自然科学基金项目(81001658);广东省自然科学基金项目(9151063201000050);广东省中医药局建设中医药强省科研课题(2008334);广东省中医院中医药科研专项基金项目(2010015)
摘    要:采用分子描述符主成分分析、药代动力学参数预测和毒性预测等计算机药物分子辅助设计技术对治疗慢性肾脏病补益类和攻逐类中药所含化学分子的药理学性质进行研究.结果表明计算机药物分子辅助设计技术可以全面直观地体现补益类和攻逐类中药所含化学分子的结构差异,并快速筛选出一批类药性良好的先导化合物.

关 键 词:慢性肾脏病  中药  计算机药理
收稿时间:2009/9/15 0:00:00

In silico pharmacology of Chinese herbs for chronic kidney diseases
ZHU Wei,WU Dinghong,QIU Xiaohui and XU Wen.In silico pharmacology of Chinese herbs for chronic kidney diseases[J].China Journal of Chinese Materia Medica,2010,35(23):3211-3215.
Authors:ZHU Wei  WU Dinghong  QIU Xiaohui and XU Wen
Institution:Guangdong Hospital of Traditional Chinese Medicine, Guangzhou 510106, China;Guangdong Hospital of Traditional Chinese Medicine, Guangzhou 510106, China;Guangdong Hospital of Traditional Chinese Medicine, Guangzhou 510106, China;Guangdong Hospital of Traditional Chinese Medicine, Guangzhou 510106, China
Abstract:Tonifying herbs and evil expeling herbs of traditional Chinese medicine(TCM) for chronic kidney diseases in molecular level were studied by computer aided drug design, including analysis of molecular similarity, predictive ADME simulation and predictive toxic simulation. It was found that this technology could distinguish the structure diversity of compounds from TCM, and screen the lead compounds rapidly.
Keywords:chronic kidney diseases  traditional Chinese medicine(TCM)  in silico pharmacology
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