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The catalytic activity of human glutathione S‐transferase A1‐1 (hGSTA1‐1), a homodimeric detoxification enzyme, is dependent on the conformational dynamics of a key C‐terminal helix α9 in each monomer. However, the structural details of how the two monomers interact upon binding of substrates is not well understood and the structure of the ligand‐free state of the hGSTA1‐1 homodimer has not been resolved. Here, we used a combination of electron paramagnetic resonance (EPR) distance measurements and weighted ensemble (WE) simulations to characterize the conformational ensemble of the ligand‐free state at the atomic level. EPR measurements reveal a broad distance distribution between a pair of Cu(II) labels in the ligand‐free state that gradually shifts and narrows as a function of increasing ligand concentration. These shifts suggest changes in the relative positioning of the two α9 helices upon ligand binding. WE simulations generated unbiased pathways for the seconds‐timescale transition between alternate states of the enzyme, leading to the generation of atomically detailed structures of the ligand‐free state. Notably, the simulations provide direct observations of negative cooperativity between the monomers of hGSTA1‐1, which involve the mutually exclusive docking of α9 in each monomer as a lid over the active site. We identify key interactions between residues that lead to this negative cooperativity. Negative cooperativity may be essential for interaction of hGSTA1‐1 with a wide variety of toxic substrates and their subsequent neutralization. More broadly, this work demonstrates the power of integrating EPR distances with WE rare‐events sampling strategy to gain mechanistic information on protein function at the atomic level.

 

Understanding the structural and mechanistic details of protein-DNA interactions that lead to cellular defence against toxic metal ions in pathogenic bacteria can lead to new ways of combating their virulence. Herein, we examine the Copper Efflux Regulator (CueR) protein, a transcription factor which interacts with DNA to generate proteins that ameliorate excess free Cu( i ). We exploit site directed Cu( ii ) labeling to measure the conformational changes in DNA as a function of protein and Cu( i ) concentration. Unexpectedly, the EPR data indicate that the protein can bend the DNA at high protein concentrations even in the Cu( i )-free state. On the other hand, the bent state of the DNA is accessed at a low protein concentration in the presence of Cu( i ). Such bending enables the coordination of the DNA with RNA polymerase. Taken together, the results lead to a structural understanding of how transcription is activated in response to Cu( i ) stress and how Cu( i )-free CueR can replace Cu( i )-bound CueR in the protein-DNA complex to terminate transcription. This work also highlights the utility of EPR to measure structural data under conditions that are difficult to access in order to shed light on protein function. 

Pulsed electron paramagnetic resonance (EPR) based distance measurements using the recently developed Cu 2+ -DPA label present a promising strategy for measuring DNA backbone distance constraints. Herein we develop force field parameters for Cu 2+ -DPA in order to understand the features of this label at an atomic level. We perform molecular dynamics (MD) simulations using the force field parameters of Cu 2+ -DPA on four different DNA duplexes. The distance between the Cu 2+ centers, extracted from the 2 μs MD trajectories, agrees well with the experimental distance for all the duplexes. Further analyses of the trajectory provide insight into the orientation of the Cu 2+ -DPA inside the duplex that leads to such agreement with experiments. The MD results also illustrate the ability of the Cu 2+ -DPA to report on the DNA backbone distance constraints. Furthermore, measurement of fluctuations of individual residues showed that the flexibility of Cu 2+ -DPA in a DNA depends on the position of the label in the duplex, and a 2 μs MD simulation is not sufficient to fully capture the experimental distribution in some cases. Finally, the MD trajectories were utilized to understand the key aspects of the double electron electron resonance (DEER) results. The lack of orientational selectivity effects of the Cu 2+ -DPA at Q-band frequency is rationalized in terms of fluctuations in the Cu 2+ coordination environment and rotameric fluctuations of the label linker. Overall, a combination of EPR and MD simulations based on the Cu 2+ -DPA labelling strategy can contribute towards understanding changes in DNA backbone conformations during protein–DNA interactions.