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.