Michelle Soto-García

Toward explainable and adaptive artificial intelligence systems for antimicrobial peptide discovery under resistance pressure

A methodological framework for resistance-aware antimicrobial peptide discovery is proposed built upon three complementary principles: explainable and uncertainty-aware prediction, biologically constrained and rule-guided generative design, and iterative design–test–learn workflows capable of continuously incorporating new evidence.