| 附子多成分作用靶点预测及网络药理学研究 |
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| 引用本文： | 吴磊宏,高秀梅,王林丽,刘骞,范骁辉,王毅,程翼宇.附子多成分作用靶点预测及网络药理学研究[J].中国中药杂志,2011,36(21):2907-2910. |
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| 作者姓名： | 吴磊宏 高秀梅 王林丽 刘骞 范骁辉 王毅 程翼宇 |
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| 作者单位： | 1. 浙江大学中药科学与工程学系,浙江杭州,310058
2. 天津中医药大学天津市现代中药省部共建国家重点实验室,天津,300193 |
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| 基金项目： | 科技部国际合作项目(2009DFB03510) |
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| 摘 要： | 目的:以常用中药附子为例,探索以中药化学成分预测其作用靶点,并构建中药多成分-多靶点网络.方法:根据1 401个美国FDA批准上市药物的分子结构及其相应靶点数据,采用随机森林法建立靶点预测模型;进而依据附子所含化学成分预测其作用靶点,并据此构建附子多成分-多靶点网络.结果:以附子的22个化学成分预测出多个作用靶点,预测结果得到文献数据印证.所建网络模型中每个化合物的平均靶点数为16.3,平均每个靶点与4.77个化合物相关联,反映出中药“多成分、多靶点”特点.结论:本方法可用于发现中药的某些潜在作用靶点.
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| 关 键 词： | 网络药理学 附子 靶点预测 网络中药药理学 多成分-多靶点网络 |
| 收稿时间： | 8/3/2011 12:00:00 AM |
Prediction of multi-target of Aconiti Lateralis Radix Praeparata and its network pharmacology |
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| WU Leihong,GAO Xiumei,WANG Linli,LIU Qian,FAN Xiaohui,WANG Yi and CHENG Yiyu.Prediction of multi-target of Aconiti Lateralis Radix Praeparata and its network pharmacology[J].China Journal of Chinese Materia Medica,2011,36(21):2907-2910. |
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| Authors: | WU Leihong GAO Xiumei WANG Linli LIU Qian FAN Xiaohui WANG Yi and CHENG Yiyu |
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| Institution: | Department of Chinese Medicine Science & Engineering, Zhejiang University, Hangzhou 310058, China;Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China;Department of Chinese Medicine Science & Engineering, Zhejiang University, Hangzhou 310058, China;Department of Chinese Medicine Science & Engineering, Zhejiang University, Hangzhou 310058, China;Department of Chinese Medicine Science & Engineering, Zhejiang University, Hangzhou 310058, China;Department of Chinese Medicine Science & Engineering, Zhejiang University, Hangzhou 310058, China;Department of Chinese Medicine Science & Engineering, Zhejiang University, Hangzhou 310058, China |
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| Abstract: | Objective: To predict multi-targets by multi-compounds found in Aconiti Lateralis Radix Praeparata and construct the corresponding multi-compound-multi-target network. Method: Based on drug-target relationships of FDA approved drugs, a model for predicting targets was established by random forest algorithm.This model was then applied to predict the targets of Aconiti Lateralis Radix Praeparata and construct the multi-compound-multi-target network. Result: The predicted targets of 22 compounds of Aconiti Lateralis Radix Praeparata are validated by literature.Each compound in the established network was correlated with 16.3 targets on average, while each target was correlated with 4.77 compounds on average, which reflects the "multi-compound and multi-target" characteristic of Chinese medicine. Conclusion: The proposed approach can be used to find potential targets of Chinese medicine. |
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| Keywords: | network pharmacology Aconiti Lateralis Radix Praeparata target prediction network pharmacology of Chinese medicine multi-compound-multi-target network |
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