Automated assignment of methyl NMR spectra from large proteins

Prog Nucl Magn Reson Spectrosc. 2020 Jun-Aug:118-119:54-73. doi: 10.1016/j.pnmrs.2020.04.001. Epub 2020 Apr 24.

Abstract

As structural biology trends towards larger and more complex biomolecular targets, a detailed understanding of their interactions and underlying structures and dynamics is required. The development of methyl-TROSY has enabled NMR spectroscopy to provide atomic-resolution insight into the mechanisms of large molecular assemblies in solution. However, the applicability of methyl-TROSY has been hindered by the laborious and time-consuming resonance assignment process, typically performed with domain fragmentation, site-directed mutagenesis, and analysis of NOE data in the context of a crystal structure. In response, several structure-based automatic methyl assignment strategies have been developed over the past decade. Here, we present a comprehensive analysis of all available methods and compare their input data requirements, algorithmic strategies, and reported performance. In general, the methods fall into two categories: those that primarily rely on inter-methyl NOEs, and those that utilize methyl PRE- and PCS-based restraints. We discuss their advantages and limitations, and highlight the potential benefits from standardizing and combining different methods.

Keywords: Automatic resonance assignment; Large proteins; Molecular machines; methyl-TROSY.

Publication types

  • Review

MeSH terms

  • Algorithms
  • Automation
  • Nuclear Magnetic Resonance, Biomolecular / methods*
  • Protein Domains
  • Proteins / chemistry*
  • Proteins / genetics

Substances

  • Proteins