Fully automated characterization of protein-peptide binding by microfluidic 2D NMR

Plata, Marek, Sharma, Manvendra, Utz, Marcel and Werner, Jörn M. (2022) Fully automated characterization of protein-peptide binding by microfluidic 2D NMR. Journal of the American Chemical Society, 145 (5), 3204–3210. (doi:10.1021/jacs.2c13052).

Record type: Article

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.

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Accepted/In Press date: 30 January 2022

e-pub ahead of print date: 30 January 2022

Additional Information: Funding Information: This work has been supported by the European Commission Horizon 2020 programme (Future and Emerging Technologies OPEN Project TISuMR, grant number 737043). M.P. gratefully acknowledges a studentship from the Institute of Life Sciences, University of Southampton. Publisher Copyright: © 2023 The Authors. Published by American Chemical Society.

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