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Fully Automated Characterization of Protein–Peptide Binding by Microfluidic 2D NMR
[Image: see text] 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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912330/ https://www.ncbi.nlm.nih.gov/pubmed/36716203 http://dx.doi.org/10.1021/jacs.2c13052 |
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author | Plata, Marek Sharma, Manvendra Utz, Marcel Werner, Jörn M. |
author_facet | Plata, Marek Sharma, Manvendra Utz, Marcel Werner, Jörn M. |
author_sort | Plata, Marek |
collection | PubMed |
description | [Image: see text] 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. |
format | Online Article Text |
id | pubmed-9912330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-99123302023-02-11 Fully Automated Characterization of Protein–Peptide Binding by Microfluidic 2D NMR Plata, Marek Sharma, Manvendra Utz, Marcel Werner, Jörn M. J Am Chem Soc [Image: see text] 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. American Chemical Society 2023-01-30 /pmc/articles/PMC9912330/ /pubmed/36716203 http://dx.doi.org/10.1021/jacs.2c13052 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Plata, Marek Sharma, Manvendra Utz, Marcel Werner, Jörn M. Fully Automated Characterization of Protein–Peptide Binding by Microfluidic 2D NMR |
title | Fully Automated Characterization
of Protein–Peptide
Binding by Microfluidic 2D NMR |
title_full | Fully Automated Characterization
of Protein–Peptide
Binding by Microfluidic 2D NMR |
title_fullStr | Fully Automated Characterization
of Protein–Peptide
Binding by Microfluidic 2D NMR |
title_full_unstemmed | Fully Automated Characterization
of Protein–Peptide
Binding by Microfluidic 2D NMR |
title_short | Fully Automated Characterization
of Protein–Peptide
Binding by Microfluidic 2D NMR |
title_sort | fully automated characterization
of protein–peptide
binding by microfluidic 2d nmr |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912330/ https://www.ncbi.nlm.nih.gov/pubmed/36716203 http://dx.doi.org/10.1021/jacs.2c13052 |
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