Generative models for antimicrobial peptide design: auto-encoders and beyond
Lukas Beierle, Julian M. Hahnfeld, Alexander Goesmann, Reihaneh Mostolizadeh, Franz Cemič
This study compares deep learning models for generating antimicrobial peptides, finding that auto-encoders, especially Wasserstein auto-encoders, produce more diverse sequences than other models.
BioData Mining · May 9, 2026Peer-reviewedBioinformatics