In the field of bioinformatics, the prediction of phage virion proteins helps us understand
the interaction between phage and its host cells and promotes the development of new antibacterial
drugs. However, traditional experimental methods to identify phage virion proteins are expensive
and inefficient, more researchers are working to develop new computational methods. In this review,
we summarized the machine learning methods for predicting phage virion proteins during recent
years, and briefly described their advantages and limitations. Finally, some research directions
related to phage virion proteins are listed.