Efficient catalysis by beta-lactamase from Staphylococcus aureus PC1 accompanied by accumulation of an acyl-enzyme

Protein formulation through automated screening of pH and buffer conditions, using the Robotein® high throughput facility

Among various factors, the direct environment (e.g. pH, buffer components, salts, additives, etc.…) is known to have a crucial effect on both the stability and activity of proteins. In particular, proper buffer and pH conditions can improve their stability and function significantly during purification, storage and handling, which is highly relevant for both academic and industrial applications. It can also promote data reproducibility, support the interpretation of experimental results and, finally, contribute to our general understanding of the biophysical properties of proteins. In this study, we have developed a high throughput screen of 158 different buffers/pH conditions in which we evaluated: (i) the protein stability, using differential scanning fluorimetry and (ii) the protein function, using either enzymatic assays or binding activity measurements, both in an automated manner. The modular setup of the screen allows for easy implementation of other characterization methods and parameters, as well as additional test conditions. The buffer/pH screen was validated with five different proteins used as models, i.e. two active-site serine β-lactamases, two metallo-β-lactamases (one of which is only active as a tetramer) and a single-domain dromedary antibody fragment (V_HH or nanobody). The formulation screen allowed automated and fast determination of optimum buffer and pH profiles for the tested proteins. Besides the determination of the optimum buffer and pH, the collection of pH profiles of many different proteins may also allow to delineate general concepts to understand and predict the relationship between pH and protein properties.

Identification of a β-lactamase inhibitory protein variant that is a potent inhibitor of Staphylococcus PC1 β-lactamase

β-Lactamase inhibitory protein (BLIP) binds and inhibits a diverse collection of class A β-lactamases. Widespread resistance to β-lactam antibiotics currently limits the treatment strategies for Staphylococcus infections. The goals of this study were to determine the binding affinity of BLIP for Staphylococcus aureus PC1 β-lactamase and to identify mutants that alter binding affinity. The BLIP inhibition constant (K(i)) for PC1 β-lactamase was measured at 350 nM, and isothermal titration calorimetry experiments indicated a binding constant (K(d)) of 380 nM. Twenty-three residue positions in BLIP that contact β-lactamase were randomized, and phage display was used to sort the libraries for tight binders to immobilized PC1 β-lactamase. The BLIP(K74G) mutant was the dominant clone selected, and it was found to inhibit the PC1 β-lactamase with a K(i) of 42 nM, while calorimetry indicated a K(d) of 26 nM. Molecular modeling studies suggested that BLIP binds weakly to the PC1 β-lactamase due to the presence of alanine at position 104 of PC1. This position is occupied by glutamate in the TEM-1 enzyme, where it forms a salt bridge with the BLIP residue Lys74 that is important for the stability of the complex. This hypothesis was confirmed by showing that the PC1(A104E) enzyme binds BLIP with 15-fold greater affinity than wild-type PC1 β-lactamase. Kinetic measurements indicated similar association rates for all complexes with variation in affinity due to altered dissociation rate constants, suggesting that changes in short-range interactions are responsible for the altered binding properties of the mutants.

Electrostatic steering and ionic tethering in enzyme-ligand binding: insights from simulations

To bind at an enzyme's active site, a ligand must diffuse or be transported to the enzyme's surface, and, if the binding site is buried, the ligand must diffuse through the protein to reach it. Although the driving force for ligand binding is often ascribed to the hydrophobic effect, electrostatic interactions also influence the binding process of both charged and nonpolar ligands. First, electrostatic steering of charged substrates into enzyme active sites is discussed. This is of particular relevance for diffusion-influenced enzymes. By comparing the results of Brownian dynamics simulations and electrostatic potential similarity analysis for triose-phosphate isomerases, superoxide dismutases, and beta-lactamases from different species, we identify the conserved features responsible for the electrostatic substrate-steering fields. The conserved potentials are localized at the active sites and are the primary determinants of the bimolecular association rates. Then we focus on a more subtle effect, which we will refer to as "ionic tethering." We explore, by means of molecular and Brownian dynamics simulations and electrostatic continuum calculations, how salt links can act as tethers between structural elements of an enzyme that undergo conformational change upon substrate binding, and thereby regulate or modulate substrate binding. This is illustrated for the lipase and cytochrome P450 enzymes. Ionic tethering can provide a control mechanism for substrate binding that is sensitive to the electrostatic properties of the enzyme's surroundings even when the substrate is nonpolar.