The Algorithm Question: When Architectural Complexity Meets Biological Reality in Antimicrobial Peptide Prediction
Computational prediction and design of antimicrobial peptides (AMPs) has progressed quickly, moving from physicochemical descriptors paired with classical machine learning to transformer architectures and generative models. Each new architecture claims improved performance, yet basic questions remain unanswered. Does...