Growing bacterial resistance to antibiotics is spurring research on utilizing naturally-
occurring antimicrobial peptides (AMPs) as templates for novel drug design. While …

Artificial intelligence (AI) and machine learning (ML) models are being deployed in many
domains of society and have recently reached the field of drug discovery. Given the …

Motivation Bacterial resistance to antibiotics is a growing concern. Antimicrobial peptides
(AMPs), natural components of innate immunity, are popular targets for developing new …

Antimicrobial peptides (AMPs) emerge as promising agents against antimicrobial resistance,
providing an alternative to conventional antibiotics. Artificial intelligence (AI) revolutionized …

As the emergence of bacterial resistance is outpacing the development of new antibiotics,
we must find cost-effective and innovative approaches to discover new antibacterial …

Antimicrobial peptides (AMPs) are part of the inherent immune system. In fact, they occur in
almost all organisms including, eg, plants, animals, and humans. Remarkably, they show …

Multi-drug resistance in bacteria is a major health problem worldwide. To overcome this
issue, new approaches allowing for the identification and development of antibacterial …

Antimicrobial peptides (AMPs) are naturally occurring or synthetic peptides that show
promise for treating antibiotic-resistant pathogens. Machine learning techniques are …

The rise of antibiotic-resistant strains of bacterial pathogens has necessitated the
development of new therapeutics. Antimicrobial peptides (AMPs) are a class of compounds …

Antimicrobial peptides (AMPs) are distributed across all kingdoms of life and are an
indispensable component of host defenses. They consist of predominantly short cationic …