| Literature DB >> 33852346 |
Ming Lei1, Arul Jayaraman2,3, James A Van Deventer1,4, Kyongbum Lee1.
Abstract
The rise of antibiotic-resistant strains of bacterial pathogens has necessitated the development of new therapeutics. Antimicrobial peptides (AMPs) are a class of compounds with potentially attractive therapeutic properties, including the ability to target specific groups of bacteria. In nature, AMPs exhibit remarkable structural and functional diversity, which may be further enhanced through genetic engineering, high-throughput screening, and chemical modification strategies. In this review, we discuss the molecular mechanisms underlying AMP selectivity and highlight recent computational and experimental efforts to design selectively targeting AMPs. While there has been an extensive effort to find broadly active and highly potent AMPs, it remains challenging to design targeting peptides to discriminate between different bacteria on the basis of physicochemical properties. We also review approaches for measuring AMP activity, point out the challenges faced in assaying for selectivity, and discuss the potential for increasing AMP diversity through chemical modifications.Entities:
Keywords: antimicrobial peptides; cell selectivity; high-throughput screening; machine learning; microbiota; peptide conjugates
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Year: 2021 PMID: 33852346 PMCID: PMC9017812 DOI: 10.1146/annurev-bioeng-010220-095711
Source DB: PubMed Journal: Annu Rev Biomed Eng ISSN: 1523-9829 Impact factor: 11.324