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Fully Automated Characterization of Protein-Peptide Binding by Microfluidic 2D NMR.

Authors :
Plata M
Sharma M
Utz M
Werner JM
Source :
Journal of the American Chemical Society [J Am Chem Soc] 2023 Feb 08; Vol. 145 (5), pp. 3204-3210. Date of Electronic Publication: 2023 Jan 30.
Publication Year :
2023

Abstract

We demonstrate an automated microfluidic nuclear magnetic resonance (NMR) system that quantitatively characterizes protein-ligand interactions without user intervention and with minimal sample needs through protein-detected heteronuclear 2D NMR spectroscopy. Quantitation of protein-ligand interactions is of fundamental importance to the understanding of signaling and other life processes. As is well-known, NMR provides rich information both on the thermodynamics of binding and on the binding site. However, the required titrations are laborious and tend to require large amounts of sample, which are not always available. The present work shows how the analytical power of NMR detection can be brought in line with the trend of miniaturization and automation in life science workflows.

Details

Language :
English
ISSN :
1520-5126
Volume :
145
Issue :
5
Database :
MEDLINE
Journal :
Journal of the American Chemical Society
Publication Type :
Academic Journal
Accession number :
36716203
Full Text :
https://doi.org/10.1021/jacs.2c13052