Selective methyl labeling is an extremely powerful approach to study the structure, dynamics, and explore mechanistic insights of large biomolecules by solution NMR. Methyls are relatively insensitive to chemical exchange-induced depolarization and provide superior probes of supramolecular interactions and allostery in such systems. In this chapter, we describe our systematic approach and contributions in the areas of sample preparation, data collection, and data analysis that streamline the application of methyl labeling in solution NMR studies of large proteins. We focus our effort on the initial and often onerous task of methyl resonance assignment and here we detail our approaches to simplify the process. We produce new methyl labeling combinations using Escherichia coli auxotrophs, increase speed, sensitivity, and resolution of NOESY experiments by employing 3D SOFAST-NOESY, and assign methyl resonances from raw data with spectral simulation tools and(or) automatically with minimal expert supervision using the MAGIC algorithm.
Keywords: Exhaustive search; Fast NOESY data collection; Large proteins; MAGIC algorithm; Methyl labeling; Model-based automatic methyl assignment; SOFAST–NOESY.
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