Contribution of Electrostatic CH3-π Interactions to Recognition of Histone Asymmetric Dimethylarginine by the SPIN1 Triple Tudor Domain.

Methylation of arginine (Arg) residues on histones creates a new binding epitope, enabling recognition by aromatic cage binding pockets in Tudor domains; these protein-protein interactions (PPIs) govern gene expression. Despite their biological importance, the molecular details of methylated Arg recognition are poorly understood. While the desolvation, hydrogen bonding, and guanidinium stacking of methylated Arg have been explored in model systems and proposed to contribute to binding, direct interactions between the methyl groups and the aromatic residues in the binding pocket have not previously been investigated. Herein, we mechanistically study the CH3-π interactions between the SPIN1 triple Tudor domain and histone asymmetric dimethylarginine. We find that these CH3-π interactions are electrostatically tunable, exhibiting cation-π character, albeit attenuated relative to cation-π interactions with quaternary ammonium ions, offering key insight into how methylation of Arg alters its binding epitope to enable new PPIs.

Trimethyllysine Reader Proteins Exhibit Widespread Charge-Agnostic Binding via Different Mechanisms to Cationic and Neutral Ligands.

In the last 40 years, cation-π interactions have become part of the lexicon of noncovalent forces that drive protein binding. Indeed, tetraalkylammoniums are universally bound by aromatic cages in proteins, suggesting that cation-π interactions are a privileged mechanism for binding these ligands. A prominent example is the recognition of histone trimethyllysine (Kme3) by the conserved aromatic cage of reader proteins, dictating gene expression. However, two proteins have recently been suggested as possible exceptions to the conventional understanding of tetraalkylammonium recognition. To broadly interrogate the role of cation-π interactions in protein binding interactions, we report the first large-scale comparative evaluation of reader proteins for a neutral Kme3 isostere, experimental and computational mechanistic studies, and structural analysis. We find unexpected widespread binding of readers to a neutral isostere with the first examples of readers that bind the neutral isostere more tightly than Kme3. We find that no single factor dictates the charge selectivity, demonstrating the challenge of predicting such interactions. Further, readers that bind both cationic and neutral ligands differ in mechanism: binding Kme3 via cation-π interactions and the neutral isostere through the hydrophobic effect in the same aromatic cage. This discovery explains apparently contradictory results in previous studies, challenges traditional understanding of molecular recognition of tetraalkylammoniums by aromatic cages in myriad protein-ligand interactions, and establishes a new framework for selective inhibitor design by exploiting differences in charge dependence.

Stimulus-Induced Relief of Intentionally Incorporated Frustration Drives Refolding of a Water-Soluble Biomimetic Foldamer.

Frustrated, or nonoptimal, interactions have been proposed to be essential to a protein's ability to display responsive behavior such as allostery, conformational signaling, and signal transduction. However, the intentional incorporation of frustrated noncovalent interactions has not been explored as a design element in the field of dynamic foldamers. Here, we report the design, synthesis, characterization, and molecular dynamics simulations of the first dynamic water-soluble foldamer that, in response to a stimulus, exploits relief of frustration in its noncovalent network to structurally rearrange from a pleated to an intercalated columnar structure. Thus, relief of frustration provides the energetic driving force for structural rearrangement. This work represents a previously unexplored design element for the development of stimulus-responsive systems that has potential application to materials chemistry, synthetic biology, and molecular machines.

Mismatched covalent and noncovalent templating leads to large coiled coil-templated macrocycles.

Herein we describe the use of dynamic combinatorial chemistry to self-assemble complex coiled coil motifs. We amide-coupled a series of peptides designed to form homodimeric coiled coils with 3,5-dithiobenzoic acid (B) at the N-terminus and then allowed each B-peptide to undergo disulfide exchange. In the absence of peptide, monomer B forms cyclic trimers and tetramers, and thus we expected that addition of the peptide to monomer B would shift the equilibrium towards the tetramer to maximize coiled coil formation. Unexpectedly, we found that internal templation of the B-peptide through coiled coil formation shifts the equilibrium towards larger macrocycles up to 13 B-peptide subunits, with a preference for 4, 7, and 10-membered macrocycles. These macrocyclic assemblies display greater helicity and thermal stability relative to intermolecular coiled coil homodimer controls. The preference for large macrocycles is driven by the strength of the coiled coil, as increasing the coiled coil affinity increases the fraction of larger macrocycles. This system represents a new approach towards the development of complex peptide and protein assemblies.

Detection and differentiation of per- and polyfluoroalkyl substances (PFAS) in water using a fluorescent imprint-and-report sensor array.

Widespread industrial use of per- and polyfluoroalkyl substances (PFAS) as surfactants has led to global contamination of water sources with these persistent, highly stable chemicals. As a result, humans and wildlife are regularly exposed to PFAS, which have been shown to bioaccumulate and cause adverse health effects. Methods for detecting PFAS in water are currently limited and primarily utilize mass spectrometry (MS), which is time-consuming and requires expensive instrumentation. Thus, new methods are needed to rapidly and reliably assess the pollution level of water sources. While some fluorescent PFAS sensors exist, they typically function in high nanomolar or micromolar concentration ranges and focus on sensing only 1-2 individual PFAS. Our work aims to address this problem by developing a fluorescent sensor for both individual PFAS, as well as complex PFAS mixtures, and demonstrate its functionality in tap water samples. Here we show that dynamic combinatorial libraries (DCLs) with simple building blocks can be templated with a fluorophore and subsequently used as sensors to form an array that differentially detects each PFAS species and various mixtures thereof. Our method is a high-throughput analysis technique that allows many samples to be analyzed simultaneously with a plate reader. This is one of the first examples of a fluorescent PFAS sensor array that functions at low nanomolar concentrations, and herein we report its use for the rapid detection of PFAS contamination in water.

Evaluation of acyllysine isostere interactions with the aromatic pocket of the AF9 YEATS domain.

Amide-π interactions, in which an amide interacts with an aromatic group, are ubiquitous in biology, yet remain understudied relative to other noncovalent interactions. Recently, we demonstrated that an electrostatically tunable amide-π interaction is key to recognition of histone acyllysine by the AF9 YEATS domain, a reader protein which has emerged as a therapeutic target due to its dysregulation in cancer. Amide isosteres are commonly employed in drug discovery, often to prevent degradation by proteases, and have proven valuable in achieving selectivity when targeting epigenetic proteins. However, like amide-π interactions, interactions of amide isosteres with aromatic rings have not been thoroughly studied despite widespread use. Herein, we evaluate the recognition of a series of amide isosteres by the AF9 YEATS domain using genetic code expansion to evaluate the amide isostere-π interaction. We show that compared to the amide-π interaction with the native ligand, each isostere exhibits similar electrostatic tunability with an aromatic residue in the binding pocket, demonstrating that the isosteres maintain similar interactions with the aromatic residue. We identify a urea-containing ligand that binds with enhanced affinity for the AF9 YEATS domain, offering a promising starting point for inhibitor development. Furthermore, we demonstrate that carbamate and urea isosteres of crotonyllysine are resistant to enzymatic removal by SIRT1, a protein that cleaves acyl post-translational modifications, further indicating the potential of amide isosteres in YEATS domain inhibitor development. These results also provide experimental precedent for interactions of these common drug discovery moieties with aromatic rings that can inform computational methods.

Application of an Imprint-and-Report Sensor Array for Detection of the Dietary Metabolite Trimethylamine N-Oxide and Its Precursors in Complex Mixtures.

Trimethylamine N-oxide (TMAO) is produced in the gut via metabolism of dietary betaine, choline, and carnitine, and elevated TMAO in plasma is associated with adverse health effects, including cardiovascular events. Currently, we lack high throughput methods for sensing these metabolites and detecting high TMAO. Thus, we have adapted our previously described "imprint-and-report" fluorescent sensing method using dynamic combinatorial libraries (DCLs) to create a sensor array for these four metabolites that functions at physiologically relevant concentrations. Templation of DCLs with dye and subsequent addition of analytes generates a fluorescent fingerprint for each metabolite and allows for differentiation via principal component analysis (PCA). Furthermore, we demonstrate that this system can be used to characterize mixtures of the metabolites in both buffer and human plasma samples. Using three to six DCLs, we can distinguish between plasma samples with healthy and elevated levels of TMAO.

Comparative Analysis of Sulfonium-π, Ammonium-π, and Sulfur-π Interactions and Relevance to SAM-Dependent Methyltransferases.

We report the measurement and analysis of sulfonium-π, thioether-π, and ammonium-π interactions in a ß-hairpin peptide model system, coupled with computational investigation and PDB analysis. These studies indicated that the sulfonium-π interaction is the strongest and that polarizability contributes to the stronger interaction with sulfonium relative to ammonium. Computational studies demonstrate that differences in solvation of the trimethylsulfonium versus the trimethylammonium group also contribute to the stronger sulfonium-π interaction. In comparing sulfonium-π versus sulfur-π interactions in proteins, analysis of SAM- and SAH-bound enzymes in the PDB suggests that aromatic residues are enriched in close proximity to the sulfur of both SAM and SAH, but the populations of aromatic interactions of the two cofactors are not significantly different, with the exception of the Me-π interactions in SAM, which are the most prevalent interaction in SAM but are not possible for SAH. This suggests that the weaker interaction energies due to loss of the cation-π interaction in going from SAM to SAH may contribute to turnover of the cofactor.

Systematic Variation of Both the Aromatic Cage and Dialkyllysine via GCE-SAR Reveal Mechanistic Insights in CBX5 Reader Protein Binding.

Development of inhibitors for histone methyllysine reader proteins is an active area of research due to the importance of reader protein-methyllysine interactions in transcriptional regulation and disease. Optimized peptide-based chemical probes targeting methyllysine readers favor larger alkyllysine residues in place of methyllysine. However, the mechanism by which these larger substituents drive tighter binding is not well understood. This study describes the development of a two-pronged approach combining genetic code expansion (GCE) and structure-activity relationships (SAR) through systematic variation of both the aromatic binding pocket in the protein and the alkyllysine residues in the peptide to probe inhibitor recognition in the CBX5 chromodomain. We demonstrate a novel change in driving force for larger alkyllysines, which weaken cation-π interactions but increases dispersion forces, resulting in tighter binding. This GCE-SAR approach establishes discrete energetic contributions to binding from both ligand and protein, providing a powerful tool to gain mechanistic understanding of SAR trends.

Development of "Imprint-and-Report" Dynamic Combinatorial Libraries for Differential Sensing Applications.

Sensor arrays using synthetic receptors have found great utility in analyte detection, resulting from their ability to distinguish analytes based on differential signals via indicator displacement. However, synthesis and characterization of receptors for an array remain a bottleneck in the field. Receptor discovery has been streamlined using dynamic combinatorial libraries (DCLs), but the resulting receptors have primarily been utilized in isolation rather than as part of the entire library, with only a few examples that make use of the complexity of a library of receptors. Herein, we demonstrate a unique sensor array approach using "imprint-and-report" DCLs that obviates the need for receptor synthesis and isolation. This strategy leverages information stored in DCLs in the form of differential library speciation to provide a high-throughput method for both developing a sensor array and analyzing data for analyte differentiation. First, each DCL is templated with analyte to give an imprinted library, followed by in situ fluorescent indicator displacement analysis. We further demonstrate that the reverse strategy, imprinting with the fluorescent reporter followed by displacement with each analyte, provides a more sensitive method for differentiating analytes. We describe the development of this differential sensing system using the methylated Arg and Lys post-translational modifications (PTMs). Altogether, 19 combinations of 3-5 DCL data sets that discriminate all 7 PTMs were identified. Thus, a comparable sensor array workflow results in a larger payoff due to the immense information stored within multiple noncovalent networks.

Contributions of methionine to recognition of trimethyllysine in aromatic cage of PHD domains: implications of polarizability, hydrophobicity, and charge on binding.

Recognition of trimethyllysine (Kme3) by reader proteins is an important regulator of gene expression. This recognition event is mediated by an aromatic cage made up of 2-4 aromatic residues in the reader proteins that bind Kme3 via cation-π interactions. A small subset of reader proteins contain a methionine (Met) residue in place of an aromatic sidechain in the binding pocket. The unique role of sulfur in molecular recognition has been demonstrated in a number of noncovalent interactions recently, including interactions of thiols, thioethers, and sulfoxides with aromatic rings. However, the interaction of a thioether with an ammonium ion has not previously been investigated and the role of Met in binding Kme3 has not yet been explored. Herein, we systematically vary the Met in two reader proteins, DIDO1 and TAF3, and the ligand, Kme3 or its neutral analog tert-butyl norleucine (tBuNle), to determine the role of Met in the recognition of the cationic Kme3. Our studies demonstrate that Met contributes to binding via dispersion forces, with about an equal contribution to binding Kme3 and tBuNle, indicating that electrostatic interactions do not play a role. During the course of these studies, we also discovered that DIDO1 exhibits equivalent binding to tBuNle and Kme3 through a change in the mechanism of binding.

Mimicking Biological Recognition: Lessons in Binding Hydrophilic Guests in Water.

Selective molecular recognition of hydrophilic guests in water plays a fundamental role in a vast number of biological processes, but synthetic mimicry of biomolecular recognition in water still proves challenging both in terms of achieving comparable affinities and selectivities. This Review highlights strategies that have been developed in the field of supramolecular chemistry to selectively and non-covalently bind three classes of biologically relevant molecules: nucleotides, carbohydrates, and amino acids. As several groups have systematically modified receptors for a specific guest, an evolutionary perspective is also provided in some cases. Trends in the most effective binding forces for each class are described, providing insight into selectivity and potential directions for future work.

More Than π-π-π Stacking: Contribution of Amide-π and CH-π Interactions to Crotonyllysine Binding by the AF9 YEATS Domain.

Lysine crotonylation (Kcr) is a histone post-translational modification that is implicated in numerous epigenetic pathways and diseases. Recognition of Kcr by YEATS domains has been proposed to occur through intermolecular amide-π and alkene-π interactions, but little is known about the driving force of these key interactions. Herein, we probed the recognition of lysine crotonylation and acetylation by the AF9 YEATS domain through incorporation of noncanonical Phe analogs with distinct electrostatics at two positions. We found that amide-π interactions between AF9 and acyllysines are electrostatically tunable, with electron-rich rings providing more favorable interactions. This differs from trends in amide-heteroarene interactions and provides insightful information for therapeutic design. Additionally, we report for the first time that CH-π interactions at Phe28 directly contribute to AF9's recognition of acyllysines, illuminating differences among YEATS domains, as this residue is not highly conserved but has been shown to impart selectivity for specific post-translational modification.

Using changes in speciation in a dynamic combinatorial library as a fingerprint to differentiate the methylation states of arginine.

Herein we describe the development of a sensor array that utilizes the complex response of a dynamic combinatorial library (DCL) to discriminate all of the methylation states of Arg, previously unreported in a sensor array, as well as the methylation states of Lys. We find that the use of all species in the DCL, not just those that bind, allows for discrimination of analytes that are otherwise indistinguishable, demonstrating the value of utilizing a complex network of species for differential sensing.

Thermodynamic consequences of Tyr to Trp mutations in the cation-π-mediated binding of trimethyllysine by the HP1 chromodomain.

Evolution has converged on cation-π interactions for recognition of quaternary alkyl ammonium groups such as trimethyllysine (Kme3). While computational modelling indicates that Trp provides the strongest cation-π interaction of the native aromatic amino acids, there is limited corroborative data from measurements within proteins. Herein we investigate a Tyr to Trp mutation in the binding pocket of the HP1 chromodomain, a reader protein that recognizes Kme3. Binding studies demonstrate that the Trp-mediated cation-π interaction is about -5 kcal mol-1 stronger, and the Y24W crystal structure shows that the mutation is not perturbing. Quantum mechanical calculations indicate that greater enthalpic binding is predominantly due to increased cation-π interactions. NMR studies indicate that differences in the unbound state of the Y24W mutation lead to enthalpy-entropy compensation. These results provide direct experimental quantification of Trp versus Tyr in a cation-π interaction and afford insight into the conservation of aromatic cage residues in Kme3 reader domains.

Engineered Reader Proteins for Enhanced Detection of Methylated Lysine on Histones.

Histone post-translational modifications (PTMs) are crucial for many cellular processes including mitosis, transcription, and DNA repair. The cellular readout of histone PTMs is dependent on both the chemical modification and histone site, and the array of histone PTMs on chromatin is dynamic throughout the eukaryotic life cycle. Accordingly, methods that report on the presence of PTMs are essential tools for resolving open questions about epigenetic processes and for developing therapeutic diagnostics. Reader domains that recognize histone PTMs have shown potential as advantageous substitutes for anti-PTM antibodies, and engineering efforts aimed at enhancing reader domain affinities would advance their efficacy as antibody alternatives. Here we describe engineered chromodomains from Drosophila melanogaster and humans that bind more tightly to H3K9 methylation (H3K9me) marks and result in the tightest reported reader-H3K9me interaction to date. Point mutations near the binding interface of the HP1 chromodomain were screened in a combinatorial fashion, and a triple mutant was found that binds 20-fold tighter than the native scaffold without any loss in PTM-site selectivity. The beneficial mutations were then translated to a human homologue, CBX1, resulting in an even tighter interaction with H3K9me3. Furthermore, we show that these engineered readers (eReaders) increase detection of H3K9me marks in several biochemical assays and outperform a commercial anti-H3K9me antibody in detecting H3K9me-containing nucleosomes in vitro, demonstrating the utility of eReaders to complement antibodies in epigenetics research.

Achieving High Affinity and Selectivity for Asymmetric Dimethylarginine by Putting a Lid on a Box.

The methylation states of Lys and Arg represent a particularly challenging set of targets to distinguish selectively in water using synthetic receptors. To date, trimethyllysine (Kme3) is the only post translational modification (PTM) of the eight possible methylation states of Lys and Arg that can be recognized selectively. Here, we report the first synthetic receptor capable of selectively recognizing asymmetric dimethylarginine (Rme2a). This was achieved by using a biased dynamic combinatorial chemistry (DCC) library to generate a receptor mimicking the 5-sided box-like shape of Rme2 reader proteins, a feature that has been hypothesized to impart selectivity. Additionally, we synthesized a thioether-linked analogue of the resulting receptor to provide a novel scaffold with maintained selectivity but greater stability. This work introduces strategies that can be applied towards achieving selectivity based on subtle differences in hydrophilic guests in aqueous solutions.

A study of 2-component i, i + 3 peptide stapling using thioethers.

Peptides are promising scaffolds for use as therapeutics, targeting interactions previously considered to be "undruggable" by small molecules. While short peptides are generally unstructured in solution and rapidly degraded by proteases in the cell cytosol, peptide stapling offers an effective method to both stabilize peptides in a helical structure and increase resistance to proteolytic degradation. Most studies of peptide stapling have focused on residues with i, i + 4 and i, i + 7 spacing, while stapling of residues with i, i + 3 spacing has been understudied. Herein, we evaluated a suite of bifunctional linkers for stapling between residues with i, i + 3 spacing, comparing the ability of each compound to react with the peptide and the degree of helicity conferred. Finally, we evaluated the ability of the stapling to increase proteolytic resistance in cell lysates, comparing stapling of i, i + 3 and i, i + 4 spacing, with i, i + 3 spacing resulting in a greater increase in peptide half-life in the model system. This presents an effective stapling strategy, adding to the peptide stapling toolbox.

N-Gemini peptides: cytosolic protease resistance via N-terminal dimerization of unstructured peptides.

Herein we describe a synthetically simple strategy for increasing the lifetime of unstructured peptides in cytosolic environment via dimerization at the N-terminus to block threading into the catalytic cleft of cytosolic proteases. We establish this approach with kinase substrates, allowing for phosphorylation in cells as a demonstration of protease resistance.