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Updated: May 7, 2026

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Published on: June 4, 2021
19F NMR Functional Screening on a Benchtop NMR Instrument: Theoretical Analysis and Efficient Application to Drug
Christina Jordan1, Martial Piotto2, Sandra Loss3
1Institute of Biochemistry, Department of Biology, ETH Zürich, Hönggerbergring 64, CH-8093 Zürich, Switzerland.
This study introduces a new fluorine-19 NMR assay (n-FABS) for affordable benchtop instruments. It accurately measures inhibitor potency for drug discovery, overcoming sensitivity limitations.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Drug Discovery
Background:
- Benchtop Nuclear Magnetic Resonance (NMR) instruments offer accessible NMR analysis, crucial for drug discovery.
- However, their widespread adoption is hindered by limited sensitivity and resolution.
- Fluorine-19 NMR (19F NMR) is a powerful technique for studying molecular interactions.
Purpose of the Study:
- To develop and validate a functional assay using 19F NMR on a benchtop spectrometer.
- To determine the relative affinity of enzyme inhibitors across a wide potency range.
- To assess the capabilities and limitations of this novel assay for cost-effective drug screening.
Main Methods:
- A 19F NMR-based functional assay (n-FABS) was established on a commercial 80 MHz NMR spectrometer.
- The assay was applied to the cancer-related enzyme thymidine phosphorylase.
- Inhibitor potencies (IC50 values) were determined for various compounds.
Main Results:
- The n-FABS assay reliably determined relative inhibitor affinities from nanomolar (nM) to hundreds of micromolar (μM) concentrations.
- Accurate IC50 values were obtained for thymidine phosphorylase inhibitors.
- Theoretical evaluation provided in-depth insights into the assay's strengths and limitations.
Conclusions:
- The developed n-FABS assay enables efficient and cost-effective functional assays on benchtop NMR instruments.
- Optimized assays using fluorinated substrates can be designed based on the insights gained.
- This approach broadens the accessibility of NMR-based drug discovery tools.
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