3.1 Compound-network analysis
We have a better way to explore the molecular mechanisms of disease and the ultimate treatment in the past years for the reason that many researchers have obtained a large number of data on Protein-protein interactions (PPIs), which are important components of cellular signaling and play a crucial part in the pathogenesis of many diseases in a variety of forms. Through the STRING10 website, we constructed a PPI network to better target the target proteins of Parkinson’s syndrome and then search for drugs from the Chinese herbal medicine database based on these target proteins. Through protein interaction analysis, the resulting proteins are ranked by interaction scores. Scores and rankings (table 2), from the table can be seen that there are many high-scoring proteins. Among these proteins, we have studied the study of each protein. Several studies, NLRP3, TP53, HSP90AB1, which have a relatively large number of 3D structures on PDB, are thought to be associated with Parkinson’s syndrome. Then we used the small molecules in the Chinese medicine database to dock the four proteins. The more than forty small molecules and corresponding proteins in the top ten of the four proteins in the docking score were used to construct the drug and protein. Action diagram (Figure 3). It can be seen from this figure and the docking scores of the four proteins and the small molecules that most of the small molecules with high affinity for NLRP3 are also related to the other three proteins. Therefore, we have determined that NLRP3 can be used as a target for finding drugs for potential Parkinson’s disease.