Protein-ligand NOE matching: a high-throughput method for binding pose evaluation that does not require protein NMR resonance assignments

Distinct Inhibition Modes of New Delhi Metallo-β-lactamase-1 Revealed by NMR Spectroscopy

The wide spread of antibiotic-resistant "superbugs" containing New Delhi metallo-β-lactamase-1 (NDM-1) has become a threat to human health. However, clinically valid antibiotics to treat the superbugs' infection are not available now. Quick, simple, and reliable methods to assess the ligand-binding mode are key to developing and improving inhibitors against NDM-1. Herein, we report a straightforward NMR method to distinguish the NDM-1 ligand-binding mode using distinct NMR spectroscopy patterns of apo- and di-Zn-NDM-1 titrations with various inhibitors. Elucidating the inhibition mechanism will aid the development of efficient inhibitors for NDM-1.

The Application of High-Throughput Approaches in Identifying Novel Therapeutic Targets and Agents to Treat Diabetes

During the past decades, unprecedented progress in technologies has revolutionized traditional research methodologies. Among these, advances in high-throughput drug screening approaches have permitted the rapid identification of potential therapeutic agents from drug libraries that contain thousands or millions of molecules. Moreover, high-throughput-based therapeutic target discovery strategies can comprehensively interrogate relationships between biomolecules (e.g., gene, RNA, and protein) and diseases and significantly increase the authors' knowledge of disease mechanisms. Diabetes is a chronic disease primarily characterized by the incapacity of the body to maintain normoglycemia. The prevalence of diabetes in modern society has become a severe public health issue that threatens the well-being of millions of patients. Although a number of pharmacological treatments are available, there is no permanent cure for diabetes, and discovering novel therapeutic targets and agents continues to be an urgent need. The present review discusses the technical details of high-throughput screening approaches in drug discovery, followed by introducing the applications of such approaches to diabetes research. This review aims to provide an example of the applicability of high-throughput technologies in facilitating different aspects of disease research.

Screening of Protein-Ligand Binding Using a SABRE Hyperpolarized Reporter

Hyperpolarization through signal amplification by reversible exchange (SABRE) provides a facile means to enhance nuclear magnetic resonance (NMR) signals of small molecules containing an N-heterocycle or other binding site for a polarization transfer catalyst. A purpose-designed reporter ligand, which is capable of binding both to a target protein and to the catalyst, makes the sensitivity enhancement by this technique compatible with the measurement of a range of biomolecular interactions. The ¹H polarization of the reporter ligand 4-amidinopyridine, which is targeting trypsin, is used to screen ligands that are not themselves hyperpolarizable by SABRE. The respective protein-ligand dissociation constants (K_D) are determined by an observed change in the R₂ relaxation rate of the reporter. A calculation of expected signal changes indicates that the accessible ligand K_D values extend over several orders of magnitude, while the concentrations of target proteins and ligands can be reduced considering the sensitivity gains from hyperpolarization. In general, the design of a single, weakly binding ligand for a target protein enables the use of SABRE hyperpolarization for ligand screening or other biophysical studies involving macromolecular interactions.

NMR Molecular Replacement Provides New Insights into Binding Modes to Bromodomains of BRD4 and TRIM24

Structure-based drug discovery (SBDD) largely relies on structural information from X-ray crystallography because traditional NMR structure calculation methods are too time consuming to be aligned with typical drug discovery timelines. The recently developed NMR molecular replacement (NMR²) method dramatically reduces the time needed to generate ligand-protein complex structures using published structures (apo or holo) of the target protein and treating all observed NOEs as ambiguous restraints, bypassing the laborious process of obtaining sequence-specific resonance assignments for the protein target. We apply this method to two therapeutic targets, the bromodomain of TRIM24 and the second bromodomain of BRD4. We show that the NMR² methodology can guide SBDD by rationalizing the observed SAR. We also demonstrate that new types of restraints and selective methyl labeling have the potential to dramatically reduce "time to structure" and extend the method to targets beyond the reach of traditional NMR structure elucidation.

NMR Data-Driven Docking of HDM2-Inhibitor Complexes

We present an automated NMR-guided docking workflow that can be used to generate models of protein-ligand complexes based on data from NOE NMR experiments. The first step is to generate a number of intermolecular distance constraints from experimental NOE data. Then, the ligand is docked on an ensemble of receptor structures to account for protein flexibility, and multiple poses are generated. Finally, we use the NOE-based constraints to filter and score docking poses based on the percentage of NOE constraints that are consistent with protein-ligand interatomic distances. This workflow was successfully used during a Lead Optimization project to generate models of synthetic PPI inhibitors bound to the HDM2 protein.

Application of Relaxation Dispersion of Hyperpolarized 13 C Spins to Protein-Ligand Binding

Nuclear spin relaxation dispersion parameters are proposed as indicators of the binding mode of a ligand to a protein. Hyperpolarization by dissolution dynamic nuclear polarization (D-DNP) provided a ¹³ C signal enhancement between 3000-6000 for the ligand 4-(trifluoromethyl) benzene-1-carboximidamide binding to trypsin. The measurement of ¹³ C R₂ relaxation dispersion was enabled without isotope enrichment, using a series of single-scan Carr-Purcell-Meiboom-Gill experiments with variable refocusing delays. The magnitude in dispersion for the spins of the ligand is correlated to the position with respect to the salt bridge between protein and the amidine group of the ligand, indicating the ligand binding orientation. Hyperpolarized relaxation dispersion is an alternative to chemical shift or NOE measurements for determining ligand binding modes.

NMR spectroscopy of wastewater: A review, case study, and future potential

NMR spectroscopy is arguably the most powerful tool for the study of molecular structures and interactions, and is increasingly being applied to environmental research, such as the study of wastewater. With over 97% of the planet's water being saltwater, and two thirds of freshwater being frozen in the ice caps and glaciers, there is a significant need to maintain and reuse the remaining 1%, which is a precious resource, critical to the sustainability of most life on Earth. Sanitation and reutilization of wastewater is an important method of water conservation, especially in arid regions, making the understanding of wastewater itself, and of its treatment processes, a highly relevant area of environmental research. Here, the benefits, challenges and subtleties of using NMR spectroscopy for the analysis of wastewater are considered. First, the techniques available to overcome the specific challenges arising from the nature of wastewater (which is a complex and dilute matrix), including an examination of sample preparation and NMR techniques (such as solvent suppression), in both the solid and solution states, are discussed. Then, the arsenal of available NMR techniques for both structure elucidation (e.g., heteronuclear, multidimensional NMR, homonuclear scalar coupling-based experiments) and the study of intermolecular interactions (e.g., diffusion, nuclear Overhauser and saturation transfer-based techniques) in wastewater are examined. Examples of wastewater NMR studies from the literature are reviewed and potential areas for future research are identified. Organized by nucleus, this review includes the common heteronuclei (¹³C, ¹⁵N, ¹⁹F, ³¹P, ²⁹Si) as well as other environmentally relevant nuclei and metals such as ²⁷Al, ⁵¹V, ²⁰⁷Pb and ¹¹³Cd, among others. Further, the potential of additional NMR methods such as comprehensive multiphase NMR, NMR microscopy and hyphenated techniques (for example, LC-SPE-NMR-MS) for advancing the current understanding of wastewater are discussed. In addition, a case study that combines natural abundance (i.e. non-concentrated), targeted and non-targeted NMR to characterize wastewater, along with in vivo based NMR to understand its toxicity, is included. The study demonstrates that, when applied comprehensively, NMR can provide unique insights into not just the structure, but also potential impacts, of wastewater and wastewater treatment processes. Finally, low-field NMR, which holds considerable future potential for on-site wastewater monitoring, is briefly discussed. In summary, NMR spectroscopy is one of the most versatile tools in modern science, with abilities to study all phases (gases, liquids, gels and solids), chemical structures, interactions, interfaces, toxicity and much more. The authors hope this review will inspire more scientists to embrace NMR, given its huge potential for both wastewater analysis in particular and environmental research in general.

Protein-ligand structure determination with the NMR molecular replacement tool, NMR2

We recently reported on a new method called NMR Molecular Replacement that efficiently derives the structure of a protein-ligand complex at the interaction site. The method was successfully applied to high and low affinity complexes covering ligands from peptides to small molecules. The algorithm used in the NMR Molecular Replacement program has until now not been described in detail. Here, we present a complete description of the NMR Molecular Replacement implementation as well as several new features that further reduce the time required for structure elucidation.

Determination of protein-ligand binding modes using fast multi-dimensional NMR with hyperpolarization

Elucidation of small molecule-protein interactions provides essential information for understanding biological processes such as cellular signaling, as well as for rational drug development. Here, multi-dimensional NMR with sensitivity enhancement by dissolution dynamic nuclear polarization (D-DNP) is shown to allow the determination of the binding epitope of folic acid when complexed with the target dihydrofolate reductase. Protein signals are selectively enhanced by polarization transfer from the hyperpolarized ligand. A pseudo three-dimensional data acquisition with ligand-side Hadamard encoding results in protein-side [13C, 1H] chemical shift correlations that contain intermolecular nuclear Overhauser effect (NOE) information. A scoring function based on this data is used to select pre-docked ligand poses. The top five poses are within 0.76 Å root-mean-square deviation from a reference structure for the encoded five protons, showing improvements compared with the poses selected by an energy-based scoring function without experimental inputs. The sensitivity enhancement provided by the D-DNP combined with multi-dimensional NMR increases the speed and potentially the selectivity of structure elucidation of ligand binding epitopes.

Determination of Ligand Binding Epitope Structures Using Polarization Transfer from Hyperpolarized Ligands

Drug discovery processes require the determination of the protein binding site structure, which can be achieved via nuclear magnetic resonance (NMR) spectroscopy. While traditional NMR spectroscopy suffers from low sensitivity, NMR signals can be significantly enhanced through hyperpolarization of nuclear spins. Here, folic acid is hyperpolarized by dissolution dynamic nuclear polarization (D-DNP). Polarization transfer to dihydrofolate reductase is compared to signal evolution predicted for docking-derived structures. The results demonstrate that a scoring function derived from the experimental data improves the ranking of structures. With data from six methyl groups, Spearman's correlation coefficient of the experimental scoring function to the root-mean-square deviation from a reference structure is 0.88 for five individually addressed ligand protons and 0.59 for the entire ligand, while the same correlation coefficient of the energy calculated from docking alone is 0.49. D-DNP NMR-derived ranking, therefore, is capable of determining the ligand structure with a small number of individually addressed source spins.

Predictive Power of Different Types of Experimental Restraints in Small Molecule Docking: A Review

Incorporating experimental restraints is a powerful method of increasing accuracy in computational protein small molecule docking simulations. Different algorithms integrate distinct forms of biochemical data during the docking and/or scoring stages. These so-called hybrid methods make use of receptor-based information such as nuclear magnetic resonance (NMR) restraints or small molecule-based information such as structure-activity relationships (SARs). A third class of methods directly interrogates contacts between the protein receptor and the small molecule. This work reviews the current state of using such restraints in docking simulations, evaluates their feasibility across broad systems, and identifies potential areas of algorithm development.

The NMR2 Method to Determine Rapidly the Structure of the Binding Pocket of a Protein–Ligand Complex with High Accuracy

Structural characterization of complexes is crucial for a better understanding of biological processes and structure-based drug design. However, many protein–ligand structures are not solvable by X-ray crystallography, for example those with low affinity binders or dynamic binding sites. Such complexes are usually targeted by solution-state NMR spectroscopy. Unfortunately, structure calculation by NMR is very time consuming since all atoms in the complex need to be assigned to their respective chemical shifts. To circumvent this problem, we recently developed the Nuclear Magnetic Resonance Molecular Replacement (NMR2) method. NMR2 very quickly provides the complex structure of a binding pocket as measured by solution-state NMR. NMR2 circumvents the assignment of the protein by using previously determined structures and therefore speeds up the whole process from a couple of months to a couple of days. Here, we recall the main aspects of the method, show how to apply it, discuss its advantages over other methods and outline its limitations and future directions.

NMR-Based Determination of the 3D Structure of the Ligand-Protein Interaction Site without Protein Resonance Assignment

Molecular replacement in X-ray crystallography is the prime method for establishing structure-activity relationships of pharmaceutically relevant molecules. Such an approach is not available for NMR. Here, we establish a comparable method, called NMR molecular replacement (NMR(2)). The method requires experimentally measured ligand intramolecular NOEs and ligand-protein intermolecular NOEs as well as a previously known receptor structure or model. Our findings demonstrate that NMR(2) may open a new avenue for the fast and robust determination of the interaction site of ligand-protein complexes at atomic resolution.

NMR approaches in structure-based lead discovery: recent developments and new frontiers for targeting multi-protein complexes

Nuclear magnetic resonance (NMR) spectroscopy is a pivotal method for structure-based and fragment-based lead discovery because it is one of the most robust techniques to provide information on protein structure, dynamics and interaction at an atomic level in solution. Nowadays, in most ligand screening cascades, NMR-based methods are applied to identify and structurally validate small molecule binding. These can be high-throughput and are often used synergistically with other biophysical assays. Here, we describe current state-of-the-art in the portfolio of available NMR-based experiments that are used to aid early-stage lead discovery. We then focus on multi-protein complexes as targets and how NMR spectroscopy allows studying of interactions within the high molecular weight assemblies that make up a vast fraction of the yet untargeted proteome. Finally, we give our perspective on how currently available methods could build an improved strategy for drug discovery against such challenging targets.

Comparing binding modes of analogous fragments using NMR in fragment-based drug design: application to PRDX5

Fragment-based drug design is one of the most promising approaches for discovering novel and potent inhibitors against therapeutic targets. The first step of the process consists of identifying fragments that bind the protein target. The determination of the fragment binding mode plays a major role in the selection of the fragment hits that will be processed into drug-like compounds. Comparing the binding modes of analogous fragments is a critical task, not only to identify specific interactions between the protein target and the fragment, but also to verify whether the binding mode is conserved or differs according to the fragment modification. While X-ray crystallography is the technique of choice, NMR methods are helpful when this fails. We show here how the ligand-observed saturation transfer difference (STD) experiment and the protein-observed 15N-HSQC experiment, two popular NMR screening experiments, can be used to compare the binding modes of analogous fragments. We discuss the application and limitations of these approaches based on STD-epitope mapping, chemical shift perturbation (CSP) calculation and comparative CSP sign analysis, using the human peroxiredoxin 5 as a protein model.

Fragment-based drug discovery using NMR spectroscopy

Nuclear magnetic resonance (NMR) spectroscopy has evolved into a powerful tool for fragment-based drug discovery over the last two decades. While NMR has been traditionally used to elucidate the three-dimensional structures and dynamics of biomacromolecules and their interactions, it can also be a very valuable tool for the reliable identification of small molecules that bind to proteins and for hit-to-lead optimization. Here, we describe the use of NMR spectroscopy as a method for fragment-based drug discovery and how to most effectively utilize this approach for discovering novel therapeutics based on our experience.

BcL-xL conformational changes upon fragment binding revealed by NMR

Protein-protein interactions represent difficult but increasingly important targets for the design of therapeutic compounds able to interfere with biological processes. Recently, fragment-based strategies have been proposed as attractive approaches for the elaboration of protein-protein surface inhibitors from fragment-like molecules. One major challenge in targeting protein-protein interactions is related to the structural adaptation of the protein surface upon molecular recognition. Methods capable of identifying subtle conformational changes of proteins upon fragment binding are therefore required at the early steps of the drug design process. In this report we present a fast NMR method able to probe subtle conformational changes upon fragment binding. The approach relies on the comparison of experimental fragment-induced Chemical Shift Perturbation (CSP) of amine protons to CSP simulated for a set of docked fragment poses, considering the ring-current effect from fragment binding. We illustrate the method by the retrospective analysis of the complex between the anti-apoptotic Bcl-xL protein and the fragment 4′-fluoro-[1,1′-biphenyl]-4-carboxylic acid that was previously shown to bind one of the Bcl-xL hot spots. The CSP-based approach shows that the protein undergoes a subtle conformational rearrangement upon interaction, for residues located in helices 2, 3 and the very beginning of 5. Our observations are corroborated by residual dipolar coupling measurements performed on the free and fragment-bound forms of the Bcl-xL protein. These NMR-based results are in total agreement with previous molecular dynamic calculations that evidenced a high flexibility of Bcl-xL around the binding site. Here we show that CSP of protein amine protons are useful and reliable structural probes. Therefore, we propose to use CSP simulation to assess protein conformational changes upon ligand binding in the fragment-based drug design approach.

Screening protein-small molecule interactions by NMR

Nuclear magnetic resonance (NMR) is well suited to probing the interactions between ligands and macromolecular receptors. It is a truly label-free technique, requiring only the presence of atoms (usually (1)H or (19)F) which give rise to observable resonances on either the ligand or the receptor. A number of parameters associated with these resonances can be used to distinguish rapidly tumbling compounds from ligands which bind to a macromolecular receptor. As such, NMR reports directly on the molecular components involved in the binding interaction whilst avoiding artifacts arising from the addition of an observable label. NMR is also unique amongst biophysical techniques in giving information on the chemical nature of almost all of the constituents present in the sample, thus allowing ready identification of sample, contaminants, degraded material and buffers. Solution phase NMR is also free of artifacts introduced by the presence of a solid support or matrix, although some interesting NMR techniques have been developed to identify ligand-receptor interactions in both solid and heterogeneous phase systems.NMR can readily report on molecular interactions across a wide range of affinities and timescales. Although NMR is not an inherently sensitive technique, the development of cryogenic probeheads over the past decade has dramatically increased the range of applicability of the technique and reduced the stringent sample requirements that used to be regarded as an "Achilles' heel" of NMR. The last, but by no means the least, NMR has the ability to determine structural information at atomic resolution; this has proved to be particularly useful when applied to those protein-ligand systems which cannot be readily crystallized.

Nuclear magnetic resonance structural characterization of substrates bound to the alpha-2,6-sialyltransferase, ST6Gal-I

The alpha-2,6-sialyltransferase (ST6Gal-I) is a key enzyme that regulates the distribution of sialic acid-containing molecules on mammalian cell surfaces. However, the fact that its native form is membrane-bound and glycosylated has made structural characterization by X-ray crystallography of this eukaryotic protein difficult. Its large size ( approximately 40 kDa for just the catalytic domain) also poses a challenge for complete structure determination by nuclear magnetic resonance (NMR). However, even without complete structure determination, there are NMR strategies that can return targeted information about select regions of the protein, including information about the active site as seen from the perspective of its bound ligands. Here, in a continuation of a previous study, a spin-labeled mimic of a glycan acceptor ligand is used to identify additional amino acids located in the protein active site. In addition, the spin-labeled donor is used to characterize the relative placement of the two bound ligands. The ligand conformation and protein-ligand contact surfaces are studied by transferred nuclear Overhauser effects (trNOEs) and saturation transfer difference (STD) experiments. The data afforded by the methods mentioned above lead to a geometric model of the bound substrates that in many ways carries an imprint of the ST6Gal-I binding site.

High-field solution NMR spectroscopy as a tool for assessing protein interactions with small molecule ligands

The ability of a small molecule to bind and modify the activity of a protein target at a specific site greatly impacts the success of drugs in the pharmaceutical industry. One of the most important tools for evaluating these interactions has been high-field solution nuclear magnetic resonance (NMR) because of its unique ability to examine even weak protein-drug interactions at high resolution. NMR can be used to evaluate the structural, thermodynamic and kinetic aspects of a binding reaction. The basis of NMR screening experiments is that binding causes a perturbation in the physical properties of both molecules. Unique properties of small and macromolecules allow selective detection of either the protein target or ligand, even in a mixture of compounds. This review outlines current methodologies for assessing protein-ligand interactions from the perspectives of the protein target and ligand and delineates the fundamental principles for understanding NMR approaches in drug research. Advances in instrumentation, pulse sequences, isotopic labeling strategies, and the development of competition experiments support the study of higher molecular weight protein targets, facilitate higher-throughput and expand the range of binding affinities that can be evaluated, enhancing the utility of NMR for identifying and characterizing potential therapeutics to druggable protein targets.

Alternate HMQC experiments for recording HN and HC-correlation spectra in proteins at high throughput

Alternate implementations of the SOFAST-HMQC experiment are described. In these alternate SOFAST-HMQC experiments (ALSOFAST-HMQC) excitation of the magnetization of interest is achieved by non-selective rf pulses while preserving the equilibrium polarization of passive spins. This alternate excitation scheme also allows the incorporation of a novel sensitivity enhancement protocol which has been most recently developed by Brutscher and coworkers and which permits simultaneous detection of both the x- and y-components of the indirectly detected t(1)-interferograms without the need to introduce additional rf pulses and delays. We show that the ALSOFAST HC-HMQC experiment, which implements an alternate means of frequency selection, enables the detection of methyl resonances with large secondary proton chemical shifts. This is achieved by selecting coherences of interest via a frequency selective carbon inversion pulse. Detailed comparisons between SOFAST- and the presented ALSOFAST-HMQC experiment reveals a considerable degree of mutual complementarity.

Deuterated protein folds obtained directly from unassigned nuclear overhauser effect data

We demonstrate the feasibility of determining the global fold of a highly deuterated protein from unassigned experimental NMR nuclear Overhauser effect (NOE) data only. The method relies on the calculation of a spatial configuration of covalently unconnected protons-a "cloud"-directly from unassigned distance restraints derived from 13C- and 15N-edited NOESY spectra. Each proton in the cloud, labeled by its chemical shift and that of the directly bound 13C or 15N, is subsequently mapped to specific atoms in the protein. This is achieved via graph-theoretical protocols that search for connectivities in graphs that encode the structural information within the cloud. The peptidyl HN chain is traced by seeking for all possible routes and selecting the one that yields the minimal sum of sequential distances. Complete proton identification in the cloud is achieved by linking the side-chain protons to proximal main-chain HNs via bipartite graph matching. The identified protons automatically yield the NOE assignments, which in turn are used for structure calculation with RosettaNMR, a protocol that incorporates structural bias derived from protein databases. The method, named Sparse-Constraint CLOUDS, was applied to experimental NOESY data on the 58-residue Z domain of staphylococcal protein A. The generated structures are of similar accuracy to those previously reported, which were derived via a conventional approach involving a larger NMR data set. Additional tests were performed on seven reported protein structures of various folds, using restraint lists simulated from the known atomic coordinates.

Fragment-based screening using X-ray crystallography and NMR spectroscopy

Approaches which start from a study of the interaction of very simple molecules (fragments) with the protein target are proving to be valuable additions to drug design. Fragment-based screening allows the complementarity between a protein active site and drug-like molecules to be rapidly and effectively explored, using structural methods. Recent improvements in the intensities of laboratory X-ray sources permits the collection of greater amounts of high-quality diffraction data and have been matched by developments in automation, crystallisation and data analysis. Developments in NMR screening, including the use of cryogenically cooled NMR probes and (19)F-containing reporter molecules have expanded the scope of this technique, while increasing the availability of binding site and quantitative affinity data for the fragments. Application of these methods has led to a greater knowledge of the chemical variety, structural features and energetics of protein-fragment interactions. While fragment-based screening has already been shown to reduce the timescales of the drug discovery process, a more detailed characterisation of fragment screening hits can reveal unexpected similarities between fragment chemotypes and protein active sites leading to improved understanding of the pharmacophores and the re-use of this information against other protein targets.

A critical assessment of the performance of protein-ligand scoring functions based on NMR chemical shift perturbations

We have generated docking poses for the FKBP-GPI complex using eight docking programs, and compared their scoring functions with scoring based on NMR chemical shift perturbations (NMRScore). Because the chemical shift perturbation (CSP) is exquisitely sensitive on the orientation of the ligand inside the binding pocket, NMRScore offers an accurate and straightforward approach to score different poses. All scoring functions were inspected by their abilities to highly rank the native-like structures and separate them from decoy poses generated for a protein-ligand complex. The overall performance of NMRScore is much better than that of energy-based scoring functions associated with docking programs in both aspects. In summary, we find that the combination of docking programs with NMRScore results in an approach that can robustly determine the binding site structure for a protein-ligand complex, thereby providing a new tool facilitating the structure-based drug discovery process.

Cytochrome c and Organic Molecules: Solution Structure of the p-Aminophenol Adduct†,‡

Protein-protein interactions are driven by specific properties of the molecular surfaces. Cytochrome c, a small electron transfer protein, is involved in a number of biologically relevant interactions with macromolecular partners. Small molecules may interfere with such interactions by binding to the surface of cytochrome c. Here we investigated the possibility of weak intermolecular interactions between reduced cytochrome c and a library of 325 small molecules, using WaterLOGSY NMR spectroscopy. Specific binding was found for p-aminophenol. The solution structure of the p-aminophenol-cytochrome c adduct was determined using a combination of in silico tools and NMR-based restraints. The ligand interacts in a specific binding site on the protein surface through a combination of stacking and H-bond interactions. Small but meaningful rearrangements of the solvent-exposed side chains are observed upon ligand binding and contribute to the stabilization of the complex.