12 citations
,
June 2025 in “Gut Microbes” This study developed BroadAMP-GPT, a computational-experimental framework, to discover new antimicrobial peptides, identifying candidates effective against multidrug-resistant pathogens. Notably, AMP_S13 showed strong stability, low toxicity, and efficacy in infection models, highlighting the platform's potential in combating antimicrobial resistance.
3 citations
,
January 1988 69 citations
,
January 2021 in “Journal of Biological Chemistry” This review discusses various amino acid-derived plant defensive compounds and highlights their potential as drug leads due to their potent antimicrobial properties, but reports no new experimental results.
15 citations
,
November 2024 in “Pharmaceutics” This review discusses how recent advancements in computational and lab-based methods have enhanced peptide drug discovery, noting the efficiency and cost benefits over traditional approaches and the potential for targeting difficult protein interactions, including protein degradation using proteolysis-targeting chimeras.
2 citations
,
September 2022 in “Advances in Environmental Biology” This study found that ethanolic extracts of Avicennia marina leaves showed potential antibacterial activity against Vancomycin-Resistant Enterococcus faecium but were less effective than standard antibiotics.