SLEEPY: a comprehensive Python module for simulating relaxation and dynamics in nuclear magnetic resonance

Nuclear magnetic resonance is a powerful method for characterizing dynamics of biological systems in a native-like environment. Accurate dynamics characterization, however, often requires simulations of complex NMR experiments. While a number of simulation programs exist for NMR simulation (SIMPSON, Spinach, SpinEvolution), none of these are focused on easy simulation of motional effects on NMR experiments. The SLEEPY Python module makes it straightforward to simulate arbitrary pulse sequences while including both relaxation and exchange processes. SLEEPY furthermore allows simulation of solid-state (static and spinning) and solution NMR experiments, using both truncated and full Hamiltonians (rotating frame/lab frame). We demonstrate its application to a wide variety of experiments, including transverse (T<sub>1ρ</sub>), and longitudinal relaxation (T<sub>1</sub>), nuclear Overhauser effect magnetization transfers, recoupling, and paramagnetic effects. We also provide an extensive online tutorial that explains how to use the various capabilities of SLEEPY. This tool can then be used for both better understanding of the impact of dynamics on NMR and in reproduction of experimental results.

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Publication Details

Journal
Nature Communications
Published
2025-10-20
DOI
https://doi.org/10.1038/s41467-025-65091-6
Citations
2
Primary Topic
Advanced NMR Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.51

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article

SLEEPY: a comprehensive Python module for simulating relaxation and dynamics in nuclear magnetic resonance

Albert A. Smith, Kai Zumpfe
2 citations
Nature Communications
Advanced NMR Techniques and Applications
1.51
article

SLEEPY: a comprehensive Python module for simulating relaxation and dynamics in nuclear magnetic resonance

Albert A. Smith, Kai Zumpfe
article en
2 citations

Abstract

Nuclear magnetic resonance is a powerful method for characterizing dynamics of biological systems in a native-like environment. Accurate dynamics characterization, however, often requires simulations of complex NMR experiments. While a number of simulation programs exist for NMR simulation (SIMPSON, Spinach, SpinEvolution), none of these are focused on easy simulation of motional effects on NMR experiments. The SLEEPY Python module makes it straightforward to simulate arbitrary pulse sequences while including both relaxation and exchange processes. SLEEPY furthermore allows simulation of solid-state (static and spinning) and solution NMR experiments, using both truncated and full Hamiltonians (rotating frame/lab frame). We demonstrate its application to a wide variety of experiments, including transverse (T<sub>1ρ</sub>), and longitudinal relaxation (T<sub>1</sub>), nuclear Overhauser effect magnetization transfers, recoupling, and paramagnetic effects. We also provide an extensive online tutorial that explains how to use the various capabilities of SLEEPY. This tool can then be used for both better understanding of the impact of dynamics on NMR and in reproduction of experimental results.

Nature CommunicationsVol. 16(1)
Leipzig University (DE)
Deutsche Forschungsgemeinschaft, Freistaat Sachsen, European Social Fund
Openalex Percentile: Top 15%
Advanced NMR Techniques and Applications
1.51
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SLEEPY: a comprehensive Python module for simulating relaxation and dynamics in nuclear magnetic resonance — Albert A. Smith, Kai Zumpfe · Nature Communications (2025) | TGRS Research Map | TGRS