4.8 Article

Facial amphiphilicity index correlating chemical structures with antimicrobial efficacy

Journal

BIOACTIVE MATERIALS
Volume 20, Issue -, Pages 519-527

Publisher

KEAI PUBLISHING LTD
DOI: 10.1016/j.bioactmat.2022.06.009

Keywords

Antimicrobial; Facialamphiphilicity; Chemicalstructure; Peptide

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Facial amphiphilicity is a unique chemical structure feature of antimicrobial peptides and polymers, and it has been extensively studied. This research introduces the Facial Amphiphilicity Index (FAI) as a quantitative measure to characterize the chemical compositions and structural features that determine antimicrobial efficacy. The study finds that larger cross-sectional areas contribute to better antimicrobial efficacy, while intermediate FAIs are more suitable for specific antimicrobial systems.
Facial amphiphilicity is an extraordinary chemical structure feature of a variety of antimicrobial peptides and polymers. Vast efforts have been dedicated to small molecular, macromolecular and dendrimer-like systems to mimic this highly preferred structure or conformation, including local facial amphiphilicity and global amphi-philicity. This work conceptualizes Facial Amphiphilicity Index (FAI) as a numerical value to quantitatively characterize the measure of chemical compositions and structural features in dictating antimicrobial efficacy. FAI is a ratio of numbers of charges to rings, representing both compositions of hydrophilicity and hydrophobicity. Cationic derivatives of multicyclic compounds were evaluated as model systems for testing antimicrobial selectivity against Gram-negative and Gram-positive bacteria. Both monocyclic and bicyclic compounds are non-antimicrobial regardless of FAIs. Antimicrobial efficacy was observed with systems having larger cross-sectional areas including tricyclic abietic acid and tetracyclic bile acid. While low and high FAIs respectively lead to higher and lower antimicrobial efficacy, in consideration of cytotoxicity, the sweet spot is typically suited with inter-mediate FAIs for each specific system. This can be well explained by the synergistic hydrophobic-hydrophobic and electrostatic interactions with bacterial cell membranes and the difference between bacterial and mammalian cell membranes. The adoption of FAI would pave a new avenue toward the design of next-generation antimicrobial macromolecules and peptides.

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