Toho-1 β-lactamase: backbone chemical shift assignments and changes in dynamics upon binding with avibactam.
Varun V SakhraniRittik K GhoshEduardo HilarioKevin L WeissLeighton CoatesLeonard J MuellerPublished in: Journal of biomolecular NMR (2021)
Backbone chemical shift assignments for the Toho-1 β-lactamase (263 amino acids, 28.9 kDa) are reported based on triple resonance solution-state NMR experiments performed on a uniformly 2H,13C,15N-labeled sample. These assignments allow for subsequent site-specific characterization at the chemical, structural, and dynamical levels. At the chemical level, titration with the non-β-lactam β-lactamase inhibitor avibactam is found to give chemical shift perturbations indicative of tight covalent binding that allow for mapping of the inhibitor binding site. At the structural level, protein secondary structure is predicted based on the backbone chemical shifts and protein residue sequence using TALOS-N and found to agree well with structural characterization from X-ray crystallography. At the dynamical level, model-free analysis of 15N relaxation data at a single field of 16.4 T reveals well-ordered structures for the ligand-free and avibactam-bound enzymes with generalized order parameters of ~ 0.85. Complementary relaxation dispersion experiments indicate that there is an escalation in motions on the millisecond timescale in the vicinity of the active site upon substrate binding. The combination of high rigidity on short timescales and active site flexibility on longer timescales is consistent with hypotheses for achieving both high catalytic efficiency and broad substrate specificity: the induced active site dynamics allows variously sized substrates to be accommodated and increases the probability that the optimal conformation for catalysis will be sampled.
Keyphrases
- gram negative
- klebsiella pneumoniae
- amino acid
- escherichia coli
- high resolution
- multidrug resistant
- binding protein
- magnetic resonance imaging
- randomized controlled trial
- blood brain barrier
- clinical trial
- small molecule
- single molecule
- computed tomography
- high glucose
- open label
- artificial intelligence
- diabetic rats
- transcription factor
- deep learning
- molecular dynamics
- contrast enhanced
- high density
- electron microscopy
- stress induced