SLEEPY: Simple simulation of relaxation and dynamics in nuclear magnetic resonance

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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. 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, in both the rotating and lab frames. We demonstrate its application to a wide variety of experiments, including T1ρ, T1, nuclear Overhauser effect, REDOR, and paramagnetic effects. We also provide an extensive 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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