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Abstract Electron paramagnetic resonance (EPR) has become a powerful probe of conformational heterogeneity and dynamics of biomolecules. In this Review, we discuss different computational modeling techniques that enrich the interpretation of EPR measurements of dynamics or distance restraints. A variety of spin labels are surveyed to provide a background for the discussion of modeling tools. Molecular dynamics (MD) simulations of models containing spin labels provide dynamical properties of biomolecules and their labels. These simulations can be used to predict EPR spectra, sample stable conformations and sample rotameric preferences of label sidechains. For molecular motions longer than milliseconds, enhanced sampling strategies and de novo prediction software incorporating or validated by EPR measurements are able to efficiently refine or predict protein conformations, respectively. To sample large‐amplitude conformational transition, a coarse‐grained or an atomistic weighted ensemble (WE) strategy can be guided with EPR insights. Looking forward, we anticipate an integrative strategy for efficient sampling of alternate conformations by de novo predictions, followed by validations by systematic EPR measurements and MD simulations. Continuous pathways between alternate states can be further sampled by WE‐MD including all intermediate states. 

Bacteria use specialized proteins, like transcription factors, to rapidly control metal ion balance. CueR is a Gram‐negative bacterial copper regulator. The structure ofE. coliCueR complexed with Cu(I) and DNA was published, since then many studies have shed light on its function. However,P. aeruginosaCueR, which shows high sequence similarity toE. coliCueR, has been less studied. Here, we applied room‐temperature electron paramagnetic resonance (EPR) measurements to explore changes in dynamics ofP. aeruginosaCueR in dependency of copper concentrations and interaction with two different DNA promoter regions. We showed thatP. aeruginosaCueR is less dynamic than theE. coliCueR protein and exhibits much higher sensitivity to DNA binding as compared to itsE. coliCueR homolog. Moreover, a difference in dynamical behavior was observed whenP. aeruginosaCueR binds to thecopZ2DNA promoter sequence compared to themexPQ‐opmEpromoter sequence. Such dynamical differences may affect the expression levels of CopZ2 and MexPQ‐OpmE proteins inP. aeruginosa. Overall, such comparative measurements of protein‐DNA complexes derived from different bacterial systems reveal insights about how structural and dynamical differences between two highly homologous proteins lead to quite different DNA sequence‐recognition and mechanistic properties. 

Herein, we develop an efficient rotamer library-based approach to predict distance distributions from Cu(ii) protein labels. 

Recently, there have been remarkable improvements in pulsed ESR sensitivity, paving the way for broader applicability of ESR in the measurement of biological distance constraints, for instance, at physiological concentrations and in more complex systems. Nevertheless, submicromolar distance measurements with the commonly used nitroxide spin label take multiple days. Therefore, there remains a need for rapid and reliable methods of measuring distances between spins at nanomolar concentrations. In this work, we demonstrate the power of double quantum coherence (DQC) experiments at Q-band frequencies. With the help of short and intense pulses, we showcase DQC signals on nitroxide-labeled proteins with modulation depths close to 100%. We show that the deep dipolar modulations aid in the resolution of bimodal distance distributions. Finally, we establish that distance measurements with protein concentrations as low as 25 nM are feasible. This limit is approximately 4-fold lower than previously possible. We anticipate that nanomolar concentration measurements will lead to further advancements in the use of ESR, especially in cellular contexts. 

Pulsed Dipolar EPR Spectroscopy (PDS) in combination with site‐directed spin labeling is a powerful tool in structural biology. However, the commonly used spin labels are conjugated to biomolecules via flexible linkers, which hampers the translation of distance distributions into biomolecular conformations. In contrast, the spin label (nitrilotriacetic acid)copper(II) [Cu2+(NTA)] bound to two histidines (dHis) is rigid and can be more easily translated into biomolecular conformations. Here, we use this label on the 71 kDa Yersinia outer protein O (YopO) to decipher whether a previously experimentally observed bimodal distance distribution is due to two conformations of the biomolecule or of the flexible spin labels. Two different PDS experiments, i.e., Pulsed Electron‐Electron Double Resonance (PELDOR aka DEER) and Relaxation Induced Dipolar Modulation Enhancement (RIDME), yield unimodal distance distribution with the dHis‐Cu2+(NTA) motif, suggesting that the α‐helical backbone of YopO adopts a single conformation in frozen solution. In addition, we show that the Cu2+(NTA)‐label preferentially binds to the target double Histidine (dHis) sites even in the presence of 22 competing native histidine residues. This suggests that the generation of a His‐null background is not required for this spin labeling methodology. Together these results highlight the value of the dHis‐Cu2+(NTA) motif in PDS experiments. 

Combining rigid Cu( ii ) labels and pulsed-EPR techniques enables distance constraint measurements that are incisive probes of protein structure and dynamics. However, the labels can lead to a dipolar signal that is biased by the relative orientation of the two spins, which is typically unknown a priori in a bilabeled protein. This effect, dubbed orientational selectivity, becomes a bottleneck in measuring distances. This phenomenon also applies to other pulsed-EPR techniques that probe electron–nucleus interactions. In this work, we dissect orientational selectivity by generating an in silico sample of Cu( ii )-labeled proteins to evaluate pulse excitation in the context of double electron–electron resonance (DEER) at Q-band frequencies. This approach enables the observation of the contribution of each protein orientation to the dipolar signal, which provides direct insights into optimizing acquisition schemes to mitigate orientational effects. Furthermore, we incorporate the excitation profile of realistic pulses to identify the excited spins. With this method, we show that rectangular pulses, despite their imperfect inversion capability, can sample similar spin orientations as other sophisticated pulses with the same bandwidth. Additionally, we reveal that the efficiency of exciting spin-pairs in DEER depends on the frequency offset of two pulses used in the experiment and the relative orientation of the two spins. Therefore, we systematically examine the frequency offset of the two pulses used in this double resonance experiment to determine the optimal frequency offset for optimal distance measurements. This procedure leads to a protocol where two measurements are sufficient to acquire orientational-independent DEER at Q-band. Notably, this procedure is feasible with any commercial pulsed-EPR spectrometer. Furthermore, we experimentally validate the computational results using DEER experiments on two different proteins. Finally, we show that increasing the amplitude of the rectangular pulse can increase the efficiency of DEER experiments by almost threefold. Overall, this work provides an attractive new approach for analyzing pulsed-EPR spectroscopy to obtain microscopic nuances that cannot be easily discerned from analytical or numerical calculations.