Prediction of the synergistic effect of antimicrobial peptides and antimicrobial agents via supervised machine learning.

This study reveals that ML algorithms can predict the synergistic activity of two different antimicrobial agents without the need for complex and time-consuming experimental procedures. The implications support that the ML models may not only reduce the experimental cost but also provide validation of experimental procedures.