Abstract
NMR is ideally suited for the analysis of protein–protein and protein ligand interactions with dissociation constants ranging from ~2 μM to ~1 mM, and with kinetics in the fast exchange regime on the NMR timescale. For the determination of dissociation constants (K D ) of 1:1 protein–protein or protein–ligand interactions using NMR, the protein and ligand concentrations must necessarily be similar in magnitude to the K D , and nonlinear least squares analysis of chemical shift changes as a function of ligand concentration is employed to determine estimates for the parameters K D and the maximum chemical shift change (Δδmax). During a typical NMR titration, the initial protein concentration, [P 0], is held nearly constant. For this condition, to determine the most accurate parameters for K D and Δδmax from nonlinear least squares analyses requires initial protein concentrations that are ~0.5 × K D , and a maximum concentration for the ligand, or titrant, of ~10 × [P 0]. From a practical standpoint, these requirements are often difficult to achieve. Using Monte Carlo simulations, we demonstrate that co-variation of the ligand and protein concentrations during a titration leads to an increase in the precision of the fitted K D and Δδmax values when [P 0] > K D . Importantly, judicious choice of protein and ligand concentrations for a given NMR titration, combined with nonlinear least squares analyses using two independent variables (ligand and protein concentrations) and two parameters (K D and Δδmax) is a straightforward approach to increasing the accuracy of measured dissociation constants for 1:1 protein–ligand interactions.
Original language | English |
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Pages (from-to) | 125-138 |
Number of pages | 14 |
Journal | Journal of Biomolecular Nmr |
Volume | 53 |
Early online date | 26 Apr 2012 |
DOIs | |
Publication status | Published - Jun 2012 |
Keywords
- chemical shift titration
- dissociation constant
- protein–protein interaction
- protein–ligand interaction