The invention discloses a
protein coding method and a
protein post-translational modification site prediction method and
system, belonging to the field of
bioinformatics. The
protein coding method includes collection of modification site information, position weight training, and coding of
a peptide fragment to be encoded. The
protein coding method and protein post-translational modification siteprediction method includes: collection of modification site information,
feature coding, model training, and protein post-translational modification site prediction. The
protein coding method and theprotein post-translational modification site prediction method and
system construct prediction models for digital vector features of different types of positive and negative sites by using a deep neural network and penalty
logistic regression, respectively, so as to obtain a plurality of prediction models, take the prediction results of each prediction model as new features and utilizing penalty logical regression to construct a final model, can capture more protein information, thus being conductive to improvement of the accuracy of prediction, and can quickly identify large-scale protein modification sites.