Optimal‐Control 19 F PROJECT Improves the Reliability of CPMG‐Derived Relaxation Rates

ABSTRACT In fluorine‐based fragment screening, protein–ligand interactions are monitored through the impact of binding on 19 F NMR relaxation properties. Most often, filters based on transverse relaxation are applied, whereas some protocols foresee the measurement of relaxation constants to rank different hits. The largest contribution to relaxation, even at the most common fields used in biomolecular NMR, is chemical shielding anisotropy, proportional to the reorientation correlation time and to the square of the magnetic field. R 2 values are thus usually measured using CPMG‐type echo trains to mitigate exchange effects. When the observed 19 F spin is scalarly coupled to another 19 F spin, the CPMG refocusing train imposes a coherent J‐modulation on the echo train, biasing the extracted R 2 . We benchmarked the J‐compensated variant proposed by Aguilar et al. (“PROJECT”), implemented with seedless optimal‐control (OC) shaped pulses specifically designed for covering more than 30 ppm at 659 MHz 19 F Larmor frequency (16.4 T), directly against CPMG performed with the same OC shaped pulses. The comparison is performed on two model proteins across multiple sample conditions and two spin echo times. In this application note, we show that seedless‐PROJECT recovers R 2 estimates that are systematically more consistent with a J‐free reference than a naive CPMG analysis—indistinguishable from CPMG when the coupling is negligible, and significantly better fit when it is resolved—at the price of a modest reduction in SNR. We outline a reusable protocol for other laboratories and provide a practical signal‐to‐noise ratio (SNR) threshold below which neither method returns reliable rates.

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Publication Details

Journal
Magnetic Resonance in Chemistry
Published
2026-10-31
DOI
https://doi.org/10.1002/mrc.70149
Primary Topic
Advanced NMR Techniques and Applications
Type
article
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article

Optimal‐Control 19 F PROJECT Improves the Reliability of CPMG‐Derived Relaxation Rates

Marco Schiavina, Enrico Luchinat, Enrico Ravera
Magnetic Resonance in Chemistry
Advanced NMR Techniques and Applications
article

Optimal‐Control 19 F PROJECT Improves the Reliability of CPMG‐Derived Relaxation Rates

Marco Schiavina, Enrico Luchinat, Enrico Ravera
article en

Abstract

ABSTRACT In fluorine‐based fragment screening, protein–ligand interactions are monitored through the impact of binding on 19 F NMR relaxation properties. Most often, filters based on transverse relaxation are applied, whereas some protocols foresee the measurement of relaxation constants to rank different hits. The largest contribution to relaxation, even at the most common fields used in biomolecular NMR, is chemical shielding anisotropy, proportional to the reorientation correlation time and to the square of the magnetic field. R 2 values are thus usually measured using CPMG‐type echo trains to mitigate exchange effects. When the observed 19 F spin is scalarly coupled to another 19 F spin, the CPMG refocusing train imposes a coherent J‐modulation on the echo train, biasing the extracted R 2 . We benchmarked the J‐compensated variant proposed by Aguilar et al. (“PROJECT”), implemented with seedless optimal‐control (OC) shaped pulses specifically designed for covering more than 30 ppm at 659 MHz 19 F Larmor frequency (16.4 T), directly against CPMG performed with the same OC shaped pulses. The comparison is performed on two model proteins across multiple sample conditions and two spin echo times. In this application note, we show that seedless‐PROJECT recovers R 2 estimates that are systematically more consistent with a J‐free reference than a naive CPMG analysis—indistinguishable from CPMG when the coupling is negligible, and significantly better fit when it is resolved—at the price of a modest reduction in SNR. We outline a reusable protocol for other laboratories and provide a practical signal‐to‐noise ratio (SNR) threshold below which neither method returns reliable rates.

Magnetic Resonance in Chemistry
Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (IT), University of Florence (IT)
Openalex Percentile: Top 27%
Advanced NMR Techniques and Applications
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Optimal‐Control 19 F PROJECT Improves the Reliability of CPMG‐Derived Relaxation Rates — Marco Schiavina, Enrico Luchinat, et al. · Magnetic Resonance in Chemistry (2026) | TGRS Research Map | TGRS