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Computational network pharmacological research of Chinese medicinal plants for chronic kidney disease

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Abstract

The interaction between drug molecules and target proteins is the basis of pharmacological action. The pharmacodynamic mechanism of Chinese medicinal plants for chronic kidney disease (CKD) was studied by molecular docking and complex network analysis. It was found that the interaction network of components-proteins of Chinese medicinal plants is different from the interaction network of components-proteins of drugs. The action mechanism of Chinese medicinal plants is different from that of drugs. We also found the interaction network of components-proteins of tonifying herbs is different from the interaction network of components-proteins of evil expelling herbs using complex network research approach. It illuminates the ancient classification theory of Chinese medicinal plants. This computational approach could identify the pivotal components of Chinese medicinal plants and their key target proteins rapidly. The results provide data for development of multi-component Chinese medicine.

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Authors and Affiliations

  1. Guangdong Hospital of Traditional Chinese Medicine, Guangzhou, 510006, China

    Wei Zhu, XiaoHui Qiu, XiaoJie Xu & ChuanJian Lu

  2. College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China

    XiaoJie Xu

Authors
  1. Wei Zhu
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  2. XiaoHui Qiu
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  3. XiaoJie Xu
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  4. ChuanJian Lu
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Correspondence to XiaoJie Xu or ChuanJian Lu.

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Zhu, W., Qiu, X., Xu, X. et al. Computational network pharmacological research of Chinese medicinal plants for chronic kidney disease. Sci. China Chem. 53, 2337–2342 (2010). https://doi.org/10.1007/s11426-010-4082-0

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