Opening of a cryptic pocket in ß-lactamase increases penicillinase activity.

Understanding the functional role of protein-excited states has important implications in protein design and drug discovery. However, because these states are difficult to find and study, it is still unclear if excited states simply result from thermal fluctuations and generally detract from function or if these states can actually enhance protein function. To investigate this question, we consider excited states in ß-lactamases and particularly a subset of states containing a cryptic pocket which forms under the Ω-loop. Given the known importance of the Ω-loop and the presence of this pocket in at least two homologs, we hypothesized that these excited states enhance enzyme activity. Using thiol-labeling assays to probe Ω-loop pocket dynamics and kinetic assays to probe activity, we find that while this pocket is not completely conserved across ß-lactamase homologs, those with the Ω-loop pocket have a higher activity against the substrate benzylpenicillin. We also find that this is true for TEM ß-lactamase variants with greater open Ω-loop pocket populations. We further investigate the open population using a combination of NMR chemical exchange saturation transfer experiments and molecular dynamics simulations. To test our understanding of the Ω-loop pocket's functional role, we designed mutations to enhance/suppress pocket opening and observed that benzylpenicillin activity is proportional to the probability of pocket opening in our designed variants. The work described here suggests that excited states containing cryptic pockets can be advantageous for function and may be favored by natural selection, increasing the potential utility of such cryptic pockets as drug targets.

Towards autonomous analysis of chemical exchange saturation transfer experiments using deep neural networks.

Macromolecules often exchange between functional states on timescales that can be accessed with NMR spectroscopy and many NMR tools have been developed to characterise the kinetics and thermodynamics of the exchange processes, as well as the structure of the conformers that are involved. However, analysis of the NMR data that report on exchanging macromolecules often hinges on complex least-squares fitting procedures as well as human experience and intuition, which, in some cases, limits the widespread use of the methods. The applications of deep neural networks (DNNs) and artificial intelligence have increased significantly in the sciences, and recently, specifically, within the field of biomolecular NMR, where DNNs are now available for tasks such as the reconstruction of sparsely sampled spectra, peak picking, and virtual decoupling. Here we present a DNN for the analysis of chemical exchange saturation transfer (CEST) data reporting on two- or three-site chemical exchange involving sparse state lifetimes of between approximately 3-60 ms, the range most frequently observed via experiment. The work presented here focuses on the 1H CEST class of methods that are further complicated, in relation to applications to other nuclei, by anti-phase features. The developed DNNs accurately predict the chemical shifts of nuclei in the exchanging species directly from anti-phase 1HN CEST profiles, along with an uncertainty associated with the predictions. The performance of the DNN was quantitatively assessed using both synthetic and experimental anti-phase CEST profiles. The assessments show that the DNN accurately determines chemical shifts and their associated uncertainties. The DNNs developed here do not contain any parameters for the end-user to adjust and the method therefore allows for autonomous analysis of complex NMR data that report on conformational exchange.

Removal of 2H-decoupling sidebands in 13CHD2 13C-CEST profiles.

A unique aspect of NMR is its capacity to provide integrated insight into both the structure and intrinsic dynamics of biomolecules. Chemical exchange phenomena that often serve as probes of dynamic processes in biological macromolecules can be quantitatively investigated with chemical exchange saturation transfer (CEST) experiments. 2H-decoupling sidebands, however, always occur in the profiles of 13CHD2 13C-CEST experiments when using the simple CW (continuous wave) method, which may obscure the detection of minor dips of excited states. Traditionally, these sidebands are manually eliminated from the profiles before data analysis by removing experimental points in the range of 2H-decoupling field strength ±50 Hz away from the major dips of the ground state on either side of the dips. Unfortunately, this may also eliminate potential minor dips if they overlap with the decoupling sidebands. Here, we developed methods that use pseudo-continuous waves with variable RF amplitudes distributed onto ramps for 2H decoupling. The new methods were thoroughly validated on Bruker spectrometers at a range of fields (1H frequencies of 600, 700, and 850 MHz, and 1.1 GHz). By using these methods, we successfully removed the sidebands from the NMR profiles of 13CHD2 13C-CEST experiments.

Reversible inhibition of the ClpP protease via an N-terminal conformational switch.

Protein homeostasis is critically important for cell viability. Key to this process is the refolding of misfolded or aggregated proteins by molecular chaperones or, alternatively, their degradation by proteases. In most prokaryotes and in chloroplasts and mitochondria, protein degradation is performed by the caseinolytic protease ClpP, a tetradecamer barrel-like proteolytic complex. Dysregulating ClpP function has shown promise in fighting antibiotic resistance and as a potential therapy for acute myeloid leukemia. Here we use methyl-transverse relaxation-optimized spectroscopy (TROSY)-based NMR, cryo-EM, biochemical assays, and molecular dynamics simulations to characterize the structural dynamics of ClpP from Staphylococcus aureus (SaClpP) in wild-type and mutant forms in an effort to discover conformational hotspots that regulate its function. Wild-type SaClpP was found exclusively in the active extended form, with the N-terminal domains of its component protomers in predominantly ß-hairpin conformations that are less well-defined than other regions of the protein. A hydrophobic site was identified that, upon mutation, leads to unfolding of the N-terminal domains, loss of SaClpP activity, and formation of a previously unobserved split-ring conformation with a pair of 20-Å-wide pores in the side of the complex. The extended form of the structure and partial activity can be restored via binding of ADEP small-molecule activators. The observed structural plasticity of the N-terminal gates is shown to be a conserved feature through studies of Escherichia coli and Neisseria meningitidis ClpP, suggesting a potential avenue for the development of molecules to allosterically modulate the function of ClpP.

Understanding and solving abnormal peak splitting in 3D HCCH-TOCSY and HCC(CO)NH-TOCSY.

The 3D HCCH-TOCSY and HCC(CO)NH-TOCSY experiments provide through bond connectivity and are used for side-chain chemical shift assignment by solution-state NMR. Careful design and implementation of the pulse sequence are key to the successful application of the technique particularly when trying to extract the maximum information out of challenging biomolecules. Here we investigate the source of and propose solutions for abnormal peak splitting ranging from 152 to 80 Hz and below that were found in three popular TOCSY-based experiment types: H(F1)-C(F2)-DIPSI-H(F3), C(F1)-DIPSI-C(F2)-H(F3), and C(F1)-DIPSI-N(F2)-HN(F3). Peak splitting occurs in the indirect C(F1) or C(F2) dimension before DIPSI and analyses indicate that the artifacts are resulted mainly from the DIPSI transforming a double spin order [Formula: see text] from 13C-13C scalar 1JCC coupling during t1 into observable megnetization. The splitting is recapitulated by numerical simulation and approaches are proposed to remove it. Adding a pure delay of 3.7 ms immediately before DIPSI is a simple and effective strategy to achieve 3D HCCH-TOCSY and HCC(CO)NH-TOCSY spectra free of splitting with full crosspeak intensity.

Revisiting 1HN CPMG relaxation dispersion experiments: a simple modification can eliminate large artifacts.

Carr-Purcell-Meiboom-Gill relaxation dispersion experiments are commonly used to probe biomolecular dynamics on the millisecond timescale. The simplest experiment involves using backbone 15N spins as probes of motion and pulse sequences are now available for providing accurate dispersion profiles in this case. In contrast, 1H-based experiments recorded on fully protonated samples are less common because of difficulties associated with homonuclear scalar couplings that can result in transfer of magnetization between coupled spins, leading to significant artifacts. Herein we examine a version of the 1HN CPMG experiment that has been used in our laboratory where a pair of CPMG pulse trains comprising non-selective, high power 1H refocusing pulses sandwich an amide selective pulse that serves to refocus scalar-coupled evolution by the end of the train. The origin of the artifacts in our original scheme is explained and a new, significantly improved sequence is presented. The utility of the new experiment is demonstrated by obtaining flat 1HN dispersion profiles in a protonated protein system that is not expected to undergo millisecond timescale dynamics, and subsequently by measuring profiles on a cavity mutant of T4 lysozyme that exchanges between a pair of distinct states, establishing that high quality data can be generated even for fully protonated samples.

A Methyl-TROSY-Based 1 H Relaxation Dispersion Experiment for Studies of Conformational Exchange in High Molecular Weight Proteins.

Molecular complexes often sample conformational states that direct them to specific functions. These states can be difficult to observe through traditional biophysical approaches but they can be studied using a variety of different NMR spin relaxation experiments. However, these applications, when focused on moderate to high molecular weight proteins, are complicated by fast relaxing signals that negatively affect the sensitivity and resolution of spectra. Here a methyl 1 H CPMG-based experiment for studies of excited conformational states of protein machines is described that exploits a TROSY-effect to increase signal-to-noise. Complexities from the multiplicity of methyl 1 H transitions are addressed to generate a robust pulse scheme that is applied to a 320 kDa homeostasis protein, p97.

Probing Conformational Exchange in Weakly Interacting, Slowly Exchanging Protein Systems via Off-Resonance R1ρ Experiments: Application to Studies of Protein Phase Separation.

R1ρ relaxation dispersion experiments are increasingly used in studies of protein dynamics on the micro- to millisecond time scale. Traditional R1ρ relaxation dispersion approaches are typically predicated on changes in chemical shifts between corresponding probe spins, ΔωGE, in the interconverting states. Here, we present a new application of off-resonance 15N R1ρ relaxation dispersion that enables the quantification of slow exchange processes even in the limit where ΔωGE = 0 so long as the spins in the exchanging states have different intrinsic transverse relaxation rates (ΔR2 = R2,E - R2,G ≠ 0). In this limit, the dispersion profiles become inverted relative to those measured in the case where ΔωGE ≠ 0, ΔR2 = 0. The theoretical background to understand this effect is presented, along with a simplified exchange matrix that is valid in the limits that are germane here. An application to the study of the dynamics of the germ granule protein Ddx4 in a highly concentrated phase-separated state is described. Notably, exchange-based dispersion profiles can be obtained despite the fact that ΔωGE ≈ 0 and ΔR2 is small, ∼20-30 s-1. Our results are consistent with the formation of a significantly populated excited conformational state that displays increased contacts between adjacent protein molecules relative to the major conformer in solution, leading to a decrease in overall motion of the protein backbone. A complete set of exchange parameters is obtained from analysis of a single set of 15N off-resonance R1ρ measurements recorded at a single static magnetic field and with a single spin-lock radio frequency field strength. This new approach holds promise for studies of weakly interacting systems, especially those involving intrinsically disordered proteins that form phase-separated organelles, where little change to chemical shifts between interconverting states would be expected, but where finite ΔR2 values are observed.

Investigating the Dynamics of Destabilized Nucleosomes Using Methyl-TROSY NMR.

The nucleosome core particle (NCP), comprised of histone proteins wrapped with ∼146 base pairs of DNA, provides both protection and controlled access to DNA so as to regulate vital cellular processes. High-resolution structures of nucleosomes and nucleosome complexes have afforded a clear understanding of the structural role of NCPs, but a detailed description of the dynamical properties that facilitate DNA-templated processes is only beginning to emerge. Using methyl-TROSY NMR approaches we evaluate the effect of point mutations designed to perturb key histone interfaces that become destabilized during nucleosome remodeling in an effort to probe NCP plasticity. Notably the NCP retains its overall structural integrity, yet relaxation experiments of mutant nucleosomes reveal significant dynamics within a central histone interface associated with alternative NCP conformations populated to as much as 15% under low salt conditions. This work highlights the inherent plasticity of NCPs and establishes methyl-TROSY NMR as a valuable compliment to current single molecule methods in quantifying NCP dynamic properties.

A new class of CEST experiment based on selecting different magnetization components at the start and end of the CEST relaxation element: an application to 1H CEST.

Chemical exchange saturation transfer (CEST) experiments are becoming increasingly popular for investigating biomolecular exchange dynamics with rates on the order of approximately 50-500 s-1 and a rich toolkit of different methods has emerged over the past few years. Typically, experiments are based on the evolution of longitudinal magnetization, or in some cases two-spin order, during a fixed CEST relaxation delay, with the same class of magnetization prepared at the start and selected at end of the CEST period. Here we present a pair of TROSY-based pulse schemes for recording amide and methyl 1H CEST profiles where longitudinal magnetization at the start evolves to produce two-spin order that is then selected at the completion of the CEST element. This selection process subtracts out contributions from 1H-1H cross-relaxation on the fly that would otherwise complicate analysis of the data. It also obviates the need to record spin-state selective CEST profiles as an alternative to eliminating NOE effects, leading to significant improvements in sensitivity. The utility of the approach is demonstrated on a sample of a cavity mutant of T4 lysozyme that undergoes chemical exchange between conformations where the cavity is free and occupied.

A methyl 1H double quantum CPMG experiment to study protein conformational exchange.

Protein conformational changes play crucial roles in enabling function. The Carr-Purcell-Meiboom-Gill (CPMG) experiment forms the basis for studying such dynamics when they involve the interconversion between highly populated and sparsely formed states, the latter having lifetimes ranging from ~ 0.5 to ~ 5 ms. Among the suite of experiments that have been developed are those that exploit methyl group probes by recording methyl 1H single quantum (Tugarinov and Kay in J Am Chem Soc 129:9514-9521, 2007) and triple quantum (Yuwen et al. in Angew Chem Int Ed Engl 55:11490-11494, 2016) relaxation dispersion profiles. Here we build upon these by developing a third experiment in which methyl 1H double quantum coherences evolve during a CPMG relaxation element. By fitting single, double, and triple quantum datasets, akin to recording the single quantum dataset at static magnetic fields of Bo, 2Bo and 3Bo, we show that accurate exchange values can be obtained even in cases where exchange rates exceed 10,000 s-1. The utility of the double quantum experiment is demonstrated with a pair of cavity mutants of T4 lysozyme (T4L) with ground and excited states interchanged and with exchange rates differing by fourfold (~ 900 s-1 and ~ 3600 s-1), as well as with a fast-folding domain where the unfolded state lifetime is ~ 80 µs.

Dramatic Decrease in CEST Measurement Times Using Multi-Site Excitation.

Chemical exchange saturation transfer (CEST) has recently evolved into a powerful approach for studying sparsely populated, "invisible" protein states in slow exchange with a major, visible conformer. Central to the technique is the use of a weak, highly selective radio-frequency field that is applied at different frequency offsets in successive experiments, "searching" for minor state resonances. The recording of CEST profiles with enough points to ensure coverage of the entire spectrum at sufficient resolution can be time-consuming, especially for applications that require high static magnetic fields or when small chemical shift differences between exchanging states must be quantified. Here, we show - with applications involving 15 N CEST - that the process can be significantly accelerated by using a multi-frequency irradiation scheme, leading in some applications to an order of magnitude savings in measurement time.

Measuring Diffusion Constants of Invisible Protein Conformers by Triple-Quantum 1 H CPMG Relaxation Dispersion.

Proteins are not locked in a single structure but often interconvert with other conformers that are critical for function. When such conformers are sparsely populated and transiently formed they become invisible to routine biophysical methods, however they can be studied in detail by NMR spin-relaxation experiments. Few experiments are available in the NMR toolkit, however, for characterizing the hydrodynamic properties of invisible states. Herein we describe a CPMG-based experiment for measuring translational diffusion constants of invisible states using a pulsed-field gradient approach that exploits methyl 1 H triple-quantum coherences. An example, involving diffusion of a sparsely populated and hence invisible unfolded protein ensemble is presented, without the need for the addition of denaturants that tend to destroy weak interactions that can be involved in stabilizing residual structure in the unfolded state.

Longitudinal relaxation optimized amide 1H-CEST experiments for studying slow chemical exchange processes in fully protonated proteins.

Chemical Exchange Saturation Transfer (CEST) experiments are increasingly used to study slow timescale exchange processes in biomolecules. Although 15N- and 13C-CEST have been the approaches of choice, the development of spin state selective 1H-CEST pulse sequences that separate the effects of chemical and dipolar exchange [T. Yuwen, A. Sekhar and L. E. Kay, Angew Chem Int Ed Engl 2016 doi: 10.1002/anie.201610759 (Yuwen et al. 2017)] significantly increases the utility of 1H-based experiments. Pulse schemes have been described previously for studies of highly deuterated proteins. We present here longitudinal-relaxation optimized amide 1H-CEST experiments for probing chemical exchange in protonated proteins. Applications involving a pair of proteins are presented establishing that accurate 1H chemical shifts of sparsely populated conformers can be obtained from simple analyses of 1H-CEST profiles. A discussion of the inherent differences between 15N-/13C- and 1H-CEST experiments is presented, leading to an optimal strategy for recording 1H-CEST experiments.

Probing slow timescale dynamics in proteins using methyl 1H CEST.

Although 15N- and 13C-based chemical exchange saturation transfer (CEST) experiments have assumed an important role in studies of biomolecular conformational exchange, 1H CEST experiments are only beginning to emerge. We present a methyl-TROSY 1H CEST experiment that eliminates deleterious 1H-1H NOE dips so that CEST profiles can be analyzed robustly to extract methyl proton chemical shifts of rare protein conformers. The utility of the experiment, along with a version that is optimized for 13CHD2 labeled proteins, is established through studies of exchanging protein systems. A comparison between methyl 1H CEST and methyl 1H CPMG approaches is presented to highlight the complementarity of the two experiments.

Probing conformational dynamics in biomolecules via chemical exchange saturation transfer: a primer.

Although Chemical Exchange Saturation Transfer (CEST) type NMR experiments have been used to study chemical exchange processes in molecules since the early 1960s, there has been renewed interest in the past several years in using this approach to study biomolecular conformational dynamics. The methodology is particularly powerful for the study of sparsely populated, transiently formed conformers that are recalcitrant to investigation using traditional biophysical tools, and it is complementary to relaxation dispersion and magnetization transfer experiments that have traditionally been used to study chemical exchange processes. Here we discuss the concepts behind the CEST experiment, focusing on practical aspects as well, we review some of the pulse sequences that have been developed to characterize protein and RNA conformational dynamics, and we discuss a number of examples where the CEST methodology has provided important insights into the role of dynamics in biomolecular function.

An enhanced sensitivity methyl 1H triple-quantum pulse scheme for measuring diffusion constants of macromolecules.

We present a pulse scheme that exploits methyl 1H triple-quantum (TQ) coherences for the measurement of diffusion rates of slowly diffusing molecules in solution. It is based on the well-known stimulated echo experiment, with encoding and decoding of TQ coherences. The size of quantifiable diffusion coefficients is thus lowered by an order of magnitude with respect to single-quantum (SQ) approaches. Notably, the sensitivity of the scheme is high, approximately ¾ that of the corresponding single quantum experiment, neglecting relaxation losses, and on the order of a factor of 4 more sensitive than a previously published sequence for AX3 spin systems (Zheng et al. in JMR 198:271-274, 2009) for molecules that are only 13C labeled at the methyl carbon position. Diffusion coefficients measured from TQ- and SQ-based experiments recorded on a range of protein samples are in excellent agreement. We present an application of this technique to the study of phase-separated proteins where protein concentrations in the condensed phase can exceed 400 mg/mL, diffusion coefficients can be as low as ~10-9 cm2s-1 and traditional SQ experiments fail.

Separating Dipolar and Chemical Exchange Magnetization Transfer Processes in 1 H-CEST.

An amide 1 H-Chemical Exchange Saturation Transfer (CEST) experiment is presented for studies of conformational exchange in proteins. The approach, exploiting spin-state-selective magnetization transfer, completely suppresses undesired NOE-based dips in CEST profiles so that chemical exchange processes can be studied. The methodology is demonstrated with applications involving proteins that interconvert on the millisecond timescale between major and invisible minor states, and accurate amide 1 H chemical shifts of the minor conformer are obtained in each case. The spin-state-selective magnetization transfer approach offers unique possibilities for quantitative studies of protein exchange through 1 H-CEST.

Role of Electrostatic Interactions in Binding of Peptides and Intrinsically Disordered Proteins to Their Folded Targets: 2. The Model of Encounter Complex Involving the Double Mutant of the c-Crk N-SH3 Domain and Peptide Sos.

In the first part of this work (paper 1, Xue, Y. et al. Biochemistry 2014 , 53 , 6473 ), we have studied the complex between the 10-residue peptide Sos and N-terminal SH3 domain from adaptor protein c-Crk. In the second part (this paper), we designed the double mutant of the c-Crk N-SH3 domain, W169F/Y186L, with the intention to eliminate the interactions responsible for tight peptide-protein binding, while retaining the interactions that create the initial electrostatic encounter complex. The resulting system was characterized experimentally by measuring the backbone and side-chain (15)N relaxation rates, as well as binding shifts and (1)H(N) temperature coefficients. In addition, it was also modeled via a series of ∼5 µs molecular dynamics (MD) simulations recorded in a large water box under an Amber ff99SB*-ILDN force field. Similar to paper 1, we have found that the strength of arginine-aspartate and arginine-glutamate salt bridges is overestimated in the original force field. To address this problem we have applied the empirical force-field correction described in paper 1. Specifically, the Lennard-Jones equilibrium distance for the nitrogen-oxygen pair across Arg-to-Asp/Glu salt bridges has been increased by 3%. This modification led to MD models in good agreement with the experimental data. The emerging picture is that of a fuzzy complex, where the peptide "dances" over the surface of the protein, making transient contacts via salt-bridge interactions. Every once in a while the peptide assumes a certain more stable binding pose, assisted by a number of adventitious polar and nonpolar contacts. On the other hand, occasionally Sos flies off the protein surface; it is then guided by electrostatic steering to quickly reconnect with the protein. The dynamic interaction between Sos and the double mutant of c-Crk N-SH3 gives rise to only small binding shifts. The peptide retains a high degree of conformational mobility, although it is appreciably slowed down due to its (loose) association with the protein. Note that spin relaxation data are indispensable in determining the dynamic status of the peptide. Such data can be properly modeled only on a basis of bona fide MD simulations, as shown in our study. We anticipate that in future the field will move away from the ensemble view of protein disorder and toward more sophisticated MD models. This will require further optimization of force fields, aimed specifically at disordered systems. Efforts in this direction have been recently initiated by several research groups; the empirical salt-bridge correction proposed in our work falls in the same category. MD models obtained with the help of suitably refined force fields and guided by experimental NMR data will provide a powerful insight into an intricate world of disordered biomolecules.

Evaluating the influence of initial magnetization conditions on extracted exchange parameters in NMR relaxation experiments: applications to CPMG and CEST.

Transient excursions of native protein states to functionally relevant higher energy conformations often occur on the µs-ms timescale. NMR spectroscopy has emerged as an important tool to probe such processes using techniques such as Carr-Purcell-Meiboom-Gill (CPMG) relaxation dispersion and Chemical Exchange Saturation Transfer (CEST). The extraction of kinetic and structural parameters from these measurements is predicated upon mathematical modeling of the resulting relaxation profiles, which in turn relies on knowledge of the initial magnetization conditions at the start of the CPMG/CEST relaxation elements in these experiments. Most fitting programs simply assume initial magnetization conditions that are given by equilibrium populations, which may be incorrect in certain implementations of experiments. In this study we have quantified the systematic errors in extracted parameters that are generated from analyses of CPMG and CEST experiments using incorrect initial boundary conditions. We find that the errors in exchange rates (k ex ) and populations (p E ) are typically small (<10 %) and thus can be safely ignored in most cases. However, errors become larger and cannot be fully neglected (20-40 %) as k ex falls near the lower limit of each method or when short CPMG/CEST relaxation elements are used in these experiments. The source of the errors can be rationalized and their magnitude given by a simple functional form. Despite the fact that errors tend to be small, it is recommended that the correct boundary conditions be implemented in fitting programs so as to obtain as robust estimates of exchange parameters as possible.