Analysis on Antidepressant Effect of Xiaoyao Powder by Using Bioinformatics Methods
Objective To analyze the potential mechanism of the antidepressant effect of Xiaoyao powder by using bioinformatics methods.Methods The chemical components of Xiaoyao powder was collected and the depression related targets were screened.The"component-target"network and the"compound targets-depression targets"interaction network of Xiaoyao powder was constructed.The network clustering analysis was performed.The active ingredients of Xiaoyao powder was screened based on toxicokinetics.And the virtual molecular docking of high affinity compounds with target proteins was performed.Results The"component-target"network of Xiaoyao powder included 357 chemical component nodes,815 potential target nodes,and 8 109 interaction relationships.The"compound targets-depression targets"network contained a total of 847 nodes and 13 622 interaction relationships.The network clustering analysis obtained a total of 23 sub-networks,with 8 sub-networks contained target proteins shared by Xiaoyao powder and depression.Toxicopharmacokinetic screening yielded a total of 4 key targets and their corresponding 10 active ingredients.Conclusion The highest scoring sub-network related targets were significantly enriched in the cAMP signaling pathway,which may be a key pathway for the antidepressant functioning module of Xiaoyao powder,and 10 active compounds screened from Xiaoyao powder had potential antidepressant effects.
NETL
NSTL
万方数据
维普
