New A.I. Model Optimizes Antimicrobial Peptides to Treat Infections
• Integrates machine learning and genetic algorithms to optimize antimicrobial peptide (AMP) modifications for improved activity • Introduces new techniques to directly modify small peptides when insufficient data exists for traditional approaches • Strategically positions positive charge amino acid additions via model instead of cumulative positive charge additions • Shows minimal peptide modifications can profoundly influence inhibitory activity of LPS-binding peptides • Demonstrates therapeutic potential of new AMP LBDB for treating infections in vivo by improving shrimp survival against Vibrio and Staph