摘要OBJECTIVE To clarify out the network pharmacology mechanism of Polygala tenuifolia against Alzheimer disease(AD).METHODS Firstly,we collected the chemical constituents from Polyg-ala tenuifolia and key targets toward AD.Machine learning algorithms were applied to construct classifi-ers for predicting the effective constituents. Secondly, docking models were utilized for further evalua-tion.Finally,we built constituent-target,target-target network and target-biology pathway network.RE-SULTS 104 chemical constituents Polygala tenuifolia from were collected.Through prediction of blood-brain penetration and validation,36 chemical constituents were selected among 100 chemical constitu-ents,their action targets mainly focused on AChE,COX-2,TNF-α,insulin-degrading enzyme and APP. Their main structure types include Polygala saponins, Polygala glycosides, Polygala shrubby ketones, polygala xanthones and sterols,which acted on AchE,APP,M-TAU,GSK3β and 5HT1A with high fre-quency.Gene-Ontology and KEGG enrichment analysis showed that the main pathways of these con-stituents involve in neurotransmitter release,synaptic conduction and synaptic plasticity,apoptosis reg-ulation,phosphorylation pathway,Ca2+signaling pathway,and so on.CONCLUSION This study uncov-ered a network mechanism of Polygala tenuifolia against Alzheimer disease,which may provide impor-tant information for the further study and new drug development.