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 …

Biofilm-associated bacteria, especially ESKAPE pathogens (Enterococcus faecium,
Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas …

Antimicrobial peptides (AMPs), as well as host defense peptides (HDPs), constitute the first
line of defense as part of the innate immune system. Humans are known to express …

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

Natural materials and bioprocesses provide abundant inspirations for the design and
synthesis of high‐performance nanomaterials. In the past several decades, bioinspired …

Lincosamides constitute an important class of antibiotics used against a wide range of
pathogens, including methicillin-resistant Staphylococcus aureus. However, due to the …

Antimicrobial peptides (AMPs) are widely recognized as promising natural antimicrobial
agents. Insects, as the group of animals with the largest population, have great potential as a …

The membrane of Gram-negative bacteria (GNB) is especially robust due to the additional,
unique, highly asymmetric outer membrane, with lipopolysaccharides (LPSs) as the main …

Artificial intelligence holds great promise for the design of antimicrobial peptides (AMPs);
however, current models face limitations in generating AMPs with sufficient novelty and …

The growing challenge of chronic wounds and antibiotic resistance has spotlighted the
potential of dual-function peptides (antimicrobial and wound healing) as novel therapeutic …