2023
DOI: 10.7554/elife.85449
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Identification of a carbohydrate recognition motif of purinergic receptors

Lifen Zhao,
Fangyu Wei,
Xinheng He
et al.

Abstract: As a major class of biomolecules, carbohydrates play indispensable roles in various biological processes. However, it remains largely unknown how carbohydrates directly modulate important drug targets, such as G-protein coupled receptors (GPCRs). Here, we employed P2Y purinoceptor 14 (P2Y14), a drug target for inflammation and immune responses, to uncover the sugar nucleotide activation of GPCRs. Integrating molecular dynamics simulation with functional study, we identified the uridine diphosphate (UDP)-sugar-… Show more

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Cited by 2 publications
(2 citation statements)
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“…In general, carbohydrate binding specificity could result from limited amino acid changes within a common protein fold 25 , 26 . In addition, the same protein domain could bind to different carbohydrates 27 29 . Therefore, it is important to include homologous proteins binding to different carbohydrates.…”
Section: Resultsmentioning
confidence: 99%
“…In general, carbohydrate binding specificity could result from limited amino acid changes within a common protein fold 25 , 26 . In addition, the same protein domain could bind to different carbohydrates 27 29 . Therefore, it is important to include homologous proteins binding to different carbohydrates.…”
Section: Resultsmentioning
confidence: 99%
“…First, the resolution and sensitivity of nanopore sensing to glycans especially neutral glycans need further improvement. It will be solved by nanopore engineering methods, which include site-directed mutation, 38 genetic code expansion (GCE), 125 glycan recognition module grafting, 126,127 integrated adaptors, 128 glycan derivatization including tags with different sizes or properties, 37 reversible host–guest interactions, 129 etc. 130 The future novel sensors derived from the de novo protein design 81 and glycan porins/transporters will be more glycan-matched.…”
Section: Technical Routes Of Nanopore-based Glycan Sequencingmentioning
confidence: 99%