Protein-mimetic peptoid nanoarchitectures for pathogen recognition and neutralization

Authors
Yang, WoojinSeo, JiwonKim, Jae Hong
Issue Date
2023-01
Publisher
Royal Society of Chemistry
Citation
Nanoscale, v.15, no.3, pp.975 - 986
Abstract
Recent outbreaks of both new and existing infectious pathogens have threatened healthcare systems around the world. Therefore, it is vital to detect and neutralize pathogens to prevent their spread and treat infected patients. This consideration has led to the development of biosensors and antibiotics inspired by the structure and function of antibodies and antimicrobial peptides (AMPs), which constitute adaptive and innate immunity, efficiently protecting the human body against invading pathogens. Herein, we provide an overview of recent advances in the detection and neutralization of pathogens using protein-mimetic peptoid nanoarchitectures. Peptoids are bio-inspired and sequence-defined polymers composed of repeating N-substituted glycine units. They can spontaneously fold into well-defined three-dimensional nanostructures that encode chemical information depending on their sequences. Loop-functionalized peptoid nanosheets have been constructed by mimicking antibodies containing chemically variable loops as binding motifs for their respective target pathogen. Furthermore, by mimicking the cationic amphipathic features of natural AMPs, helical peptoids and their assemblies have been developed to achieve selective anti-infective activity owing to their intrinsic ability to interact with bacterial membranes and viral envelopes. We believe that this mini-review furnishes in-depth insight into how to construct protein-like nanostructures via the self-assembly of peptoids for application in the detection of pathogens and the treatment of infectious diseases for future healthcare applications.
Keywords
PEPTIDE; POLYPEPTOIDS; CONFORMATION; POLYVALENT; NANOSHEETS; FAMILY; N-SUBSTITUTED GLYCINES; AROMATIC SIDE-CHAINS; OLIGOMERS
ISSN
2040-3364
URI
https://pubs.kist.re.kr/handle/201004/114157
DOI
10.1039/d2nr05326h
Appears in Collections:
KIST Article > 2023
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