Differential sensing with arrays of de novo designed peptide assemblies.
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
24 01 2023
24 01 2023
Historique:
received:
14
11
2022
accepted:
11
01
2023
entrez:
24
1
2023
pubmed:
25
1
2023
medline:
27
1
2023
Statut:
epublish
Résumé
Differential sensing attempts to mimic the mammalian senses of smell and taste to identify analytes and complex mixtures. In place of hundreds of complex, membrane-bound G-protein coupled receptors, differential sensors employ arrays of small molecules. Here we show that arrays of computationally designed de novo peptides provide alternative synthetic receptors for differential sensing. We use self-assembling α-helical barrels (αHBs) with central channels that can be altered predictably to vary their sizes, shapes and chemistries. The channels accommodate environment-sensitive dyes that fluoresce upon binding. Challenging arrays of dye-loaded barrels with analytes causes differential fluorophore displacement. The resulting fluorimetric fingerprints are used to train machine-learning models that relate the patterns to the analytes. We show that this system discriminates between a range of biomolecules, drink, and diagnostically relevant biological samples. As αHBs are robust and chemically diverse, the system has potential to sense many analytes in various settings.
Identifiants
pubmed: 36693847
doi: 10.1038/s41467-023-36024-y
pii: 10.1038/s41467-023-36024-y
pmc: PMC9873944
doi:
Substances chimiques
Peptides
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
383Subventions
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/L01386X/1
Pays : United Kingdom
Informations de copyright
© 2023. The Author(s).
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