Prediction of ¹⁹F NMR Chemical Shifts in Labeled Proteins: Computational Protocol and Case Study

Abstract

The structural analysis of ligand complexation in biomolecular systems is important in the design of new medicinal therapeutic agents; however, monitoring subtle structural changes in a protein's microenvironment is a challenging and complex problem. In this regard, the use of protein-based (19)F NMR for screening low-molecular-weight molecules (i.e., fragments) can be an especially powerful tool to aid in drug design. Resonance assignment of the protein's (19)F NMR spectrum is necessary for structural analysis. Here, a quantum chemical method has been developed as an initial approach to facilitate the assignment of a fluorinated protein's (19)F NMR spectrum. The epigenetic "reader" domain of protein Brd4 was taken as a case study to assess the strengths and limitations of the method. The overall modeling protocol predicts chemical shifts for residues in rigid proteins with good accuracy; proper accounting for explicit solvation of fluorinated residues by water is critical.