The application provides a compound
hormone receptor activity prediction method and device, the method comprises the following steps: obtaining sample compound data with known
estrogen and
androgen receptor activity; drawing an IC50 value distribution map based on the IC50 value in the sample compound data, and determining a
demarcation point of the strength of the
estrogen and
androgen receptor activity according to the IC50 value distribution map; classifying the compounds in the sample compound data into strong and weak
estrogen and
androgen receptor activity according to the
demarcation point; converting the SMILES code of the compounds in the sample compound data into corresponding
fingerprint information; describing the compounds in the sample compound data with the
fingerprint information, and labeling the compounds in the sample compound data with the activity strength /
weakness as a
label to update the sample compound data; training a
machine learning model through the updated sample compound data to obtain a compound
hormone receptor activity prediction model; and predicting the
hormone receptor activity of a to-be-predicted compound with the prediction model.