SEDB collected verified data from the existing protein database, collected human secreted proteomic HSPA through
N-terminal signal peptide prediction and transmembrane domain signal peptide verification, and collected other
Rat/Mouse secretory protein comparison, through the artificially collected secretory data was labeled to prove the
specific information of secreted proteins, users can not only check the secretion in time The evidence for the protein,
and the prediction of the unknown protein, when compared with the basic experiment, the publicly secreted protein
will be more convincing and more extensive.

By collecting more than 500 literatures related to serum/exosome/tissue culture medium, SEDB manually collected 6864
secreted proteins related to humans, and annotated and verified these proteins. These secreted proteins were rigorously
graded, compared with a variety of recognized predictive signal peptide tools,searched a large number of protein databases
for detailed comparison, and the correlation between these proteins and diseases was statistically analyzed.