Optimization of bivalent glutathione S-transferase inhibitors by combinatorial linker design

Dimeric glutathione S-transferases (GSTs) are pharmacological targets for several diseases, including cancer. Isoform specificity has been difficult to achieve due to their overlapping substrate selectivity. Here we demonstrate the utility of bivalent GST inhibitors and their optimization via combinatorial linker design. A combinatorial library with dipeptide linkers emanating symmetrically from a central scaffold (bis-3,5-aminomethyl benzoic acid, AMAB) to connect two ethacrynic acid moieties was prepared and decoded via iterative deconvolution, against the isoforms GSTA1-1 and GSTP1-1. The library yielded high affinity GSTA1-1 selective inhibitors (70-120-fold selectivity) and with stoichiometry of one inhibitor: one GSTA1-1 dimer. Saturation Transfer Difference (STD) NMR with one of these inhibitors, with linker structure (Asp-Gly-AMAB-Gly-Asp) and K(D) = 42 nM for GSTA1-1, demonstrates that the Asp-Gly linker interacts tightly with GSTA1-1, but not P1-1. H/D exchange mass spectrometry was used to map the protein binding site and indicates that peptides within the intersubunit cleft and in the substrate binding site are protected by inhibitor from solvent exchange. A model is proposed for the binding orientation of the inhibitor, which is consistent with electrostatic complementarity between the protein cleft and inhibitor linker as the source of isoform selectivity and high affinity. The results demonstrate the utility of combinatorial, or "irrational", linker design for optimizing bivalent inhibitors.     

Discovery of linear receptors for multiple dihydrogen phosphate ions using dynamic combinatorial chemistry

We describe the use of dynamic combinatorial chemistry to discover a new series of linear hydrazone-based receptors that bind multiple dihydrogen phosphate ions. Through the use of a template-driven, selection-based approach to receptor synthesis, dynamic combinatorial chemistry allows for the identification of unexpected host structures and binding motifs. Notably, we observed the unprecedented selection of these linear receptors in preference to competing macrocyclic hosts. Furthermore, linear receptors containing up to nine building blocks and three different building blocks were amplified in the dynamic combinatorial library. The receptors were formed using a dihydrazide building block based on an amino acid-disubstituted ferrocene scaffold. A detailed study of the linear pentamer revealed that it forms a helical ditopic receptor that employs four acylhydrazone hydrogen-bond donor motifs to cooperatively bind two dihydrogen phosphate ions.     

Resin-bound dynamic combinatorial chemistry

[reaction: see text] Dynamic combinatorial chemistry (DCC) is a promising technique for receptor-aided selection of high-affinity ligands from equilibrating combinatorial libraries. Identification of the specific ligand(s) selected is often challenging, however, due to difficulties associated with chromatographic separation and/or mass degeneracy within the library. Herein, we describe proof-of-concept experiments demonstrating a new technique termed resin-bound DCC (RB-DCC), which provides a solution to this problem.     

Phase-transfer dynamic combinatorial chemistry

A two-phase approach to dynamic combinatorial chemistry is described using disulfide exchange chemistry; the use of two phases significantly increases the possibilities and the scope of dynamic combinatorial chemistry by facilitating the combination of otherwise incompatible building blocks.     

Bivalent enzyme inhibitors discovered using dynamic covalent chemistry

A bivalent dynamic covalent chemistry (DCC) system has been designed to selectively target members of the homodimeric glutathione-S-transferase (GST) enzyme family. The dynamic covalent libraries (DCLs) use aniline-catalysed acylhydrazone exchange between bivalent hydrazides and glutathione-conjugated aldehydes and the bis-hydrazides act as linkers to bridge between each glutathione binding site. The resultant DCLs were found to be compatible and highly responsive to templating with different GST isozymes, with the best results coming from the M and Schistosoma japonicum (Sj) class of GSTs, targets in cancer and tropical disease, respectively. The approach yielded compounds with selective, nanomolar affinity (K(i) =61?nM for mGSTM1-1) and demonstrates that DCC can be used to simultaneously interrogate binding sites on different subunits of a dimeric protein.     

Hit-optimization using target-directed dynamic combinatorial chemistry: development of inhibitors of the anti-infective target 1-deoxy-d-xylulose-5-phosphate synthase

Target-directed dynamic combinatorial chemistry (tdDCC) enables identification, as well as optimization of ligands for un(der)explored targets such as the anti-infective target 1-deoxy-d-xylulose-5-phosphate synthase (DXPS). We report the use of tdDCC to first identify and subsequently optimize binders/inhibitors of the anti-infective target DXPS. The initial hits were also optimized for their antibacterial activity against E. coli and M. tuberculosis during subsequent tdDCC runs. Using tdDCC, we were able to generate acylhydrazone-based inhibitors of DXPS. The tailored tdDCC runs also provided insights into the structure–activity relationship of this novel class of DXPS inhibitors. The competition tdDCC runs provided important information about the mode of inhibition of acylhydrazone-based inhibitors. This approach holds the potential to expedite the drug-discovery process and should be applicable to a range of biological targets.

Target-directed dynamic combinatorial chemistry was used for hit-identification and subsequent hit-optimization for the anti-infective target 1-deoxy-d-xylulose-5-phosphate synthase resulting in novel inhibitors with low micromolar affinities.     

Synthesis of cyclic oligomers from histidine-derived building blocks using dynamic combinatorial chemistry

Histidine-derived hydrazide acetal monomers (3-dimethoxymethylbenzoyl)-L-histidine methyl ester 1 and (3-dimethoxymethylbenzoyl)-tau-benzyl-L-histidine methyl ester 2 were prepared from a histidine methyl ester and a tau-benzyl-histidine methyl ester by N-acylation with 3-(dimethoxymethyl)benzoic acid (3) followed by hydrazinolysis. Acid-promoted hydrolysis of each acetal hydrazide initially produced a library of cyclic oligomers that eventually converted to a cyclic dimer. The cyclic dimers 12 and 22 were spectroscopically characterized and found to direct their imidazole-bearing sidechains outward (exo). No evidence for templating the cyclic oligomers was observed using various metal ions and anionic substrates. The average of pKa1 and pKa2 of dimer 12 was determined by potentiometric titration to be 6.6. Dimer 12 was found to catalyze the hydrolysis of p-nitrophenylacetate 10 times faster than 4-methyl imidazole.     

The dark side of disulfide-based dynamic combinatorial chemistry

During the last two decades, disulfide-based dynamic combinatorial chemistry has been extensively used in the field of molecular recognition to deliver artificial receptors for molecules of biological interest. Commonly, the nature of library members and their relative amounts are provided from HPLC-MS analysis of the libraries, allowing the identification of potential binders for a target (bio)molecule. By re-investigating dynamic combinatorial libraries generated from a simple 2,5-dicarboxy-1,4-dithiophenol building block in water, we herein demonstrated that multiple analytical tools were actually necessary in order to comprehensively describe the libraries in terms of size, stereochemistry, affinity, selectivity, and finally to get a true grasp on the different phenomena at work within dynamic combinatorial systems.

We show that multiple analytical tools are necessary in order to describe the different phenomena within disulfide-based dynamic combinatorial libraries in terms of size, stereochemistry, affinity and selectivity.     

Optimizing the reversibility of hydrazone formation for dynamic combinatorial chemistry

Hydrazones from hydrazines bearing electron withdrawing groups, and aromatic or aliphatic aldehydes form and hydrolyse rapidly in water at neutral pH.     

Redesign of protein domains using one-bead-one-compound combinatorial chemistry

A novel combinatorial strategy for the redesign of proteins based on the strength and specificity of intra- and interprotein interactions is described. The strategy has been used to redesign the hydrophobic core of the B domain of protein A. Using one-bead-one-compound combinatorial chemistry, 300 analogues of the C-terminal alpha-helix of the B domain, H3x, have been synthesized using a biocompatible resin and the HMFS linker, allowing the screening to occur while the peptides were bound to the resin. The screening was based on the ability of the H3x analogues to interact with the N-terminal helices of the B domain, H1-H2, and retain the native B domain activity, that is binding to IgG. Eight different analogues containing some nonconservative mutations were obtained from the library, the two most frequent of which, H3P1 and H3P2, were studied in detail. CD analysis revealed that the active analogues interact with H1-H2. To validate the redesign strategy the covalent modified domains H1-H2-H3P1 and H1-H2-H3P2 were synthesized and characterized. CD and NMR analysis revealed that they had a unique, stable, and well-defined three-dimensional structure similar to that for the wild-type B domain. This combinatorial strategy allows us to select for redesigned proteins with the desired activity or the desired physicochemical properties provided the right screening test is used. Furthermore, it is rich in potential for the chemical modification of proteins overcoming the drawbacks associated with the total synthesis of large protein domains.     

Solution phase combinatorial chemistry using cyclotriveratrylene-based tripodal scaffolds

A library consisting of 40 cyclotriveratrylene-based tripodal scaffold molecules was constructed by O-alkylation of the CTV-triol followed by coupling of one or two amino acids; apart from the wash steps in the work-up the reaction products did not require additional purification. Preliminary screening experiments revealed that a dansylated receptor molecule selectively bound N-acylated dipeptides.     

Novel affinity ligands for chromatography using combinatorial chemistry

Spatially addressable combinatorial libraries were synthesized by solution phase chemistry and screened for binding to human serum albumin. Members of arylidene diamide libraries were among the best hits found, having submicromolar binding affinities. The results were analyzed by the frequency with which particular substituents appeared among the most potent compounds. After immobilization of the ligands either through the oxazolone or the amine substituent, characterization by surface plasmon resonance showed that ibuprofen affected the binding kinetics, but phenylbutazone did not. It is therefore likely that these compounds bind to Site 2 in sub domain IIIA of human serum albumin (HSA).     

Characterisation of glycoprotein ligands synthesised using solid-phase combinatorial chemistry

A combination of rational design based on mimicking natural protein-carbohydrate interactions and solid-phase combinatorial chemistry has led to the identification of an affinity ligand which displays selectivity for the mannose moiety of glycoproteins. The ligand was initially identified as 32/18, a triazine scaffold substituted with 2-acetylpyrrole (32) and 5-aminoindan (18). However, characterisation of the immobilised ligand by release from the matrix via a cleavable linker, (4s,5s)-4,5-di(aminomethyl)-2,2-dimethyldioxolane, and using a non-destructive on-resin method, 13C NMR spectroscopy, confirmed that the putative ligand 32/18 was, in fact, 18/18, the disubstituted 5-aminoindan. 1H NMR studies on the interaction of alpha-D-methylmannoside with the ligand 18/18 in solution confirm the involvement of the hydroxyl group in the C-2 position.     

Dynamic combinatorial chemistry

Dynamic combinatorial chemistry is based on the reversible combination of initial building blocks to form dynamic combinatorial libraries. It has recently emerged as an efficient strategy to detect and to evaluate affinity between the library products and a target molecule. In this review, examples from various fields of chemistry and biochemistry are presented and extensively discussed. The last section deals with the practical aspects for implementing this approach.     

Structure-based design and combinatorial chemistry yield low nanomolar inhibitors of cathepsin D

Background: The identification of potent small molecule ligands to receptors and enzymes is one of the major goals of chemical and biological research. Two powerful new tools that can be used in these efforts are combinatorial chemistry and structure-based design. Here we address how to join these methods in a design protocol that produces libraries of compounds that are directed against specific macromolecular targets. The aspartyl class of proteases, which is involved in numerous biological processes, was chosen to demonstrate this effective procedure.Results: Using cathepsin D, a prototypical aspartyl protease, a number of low nanomolar inhibitors were rapidly identified. Although cathepsin D is implicated in a number of therapeutically relevant processes, potent nonpeptide inhibitors have not been reported previously. The libraries, synthesized on solid support, displayed nonpeptide functionality about the (hydroxyethyl)amine isostere. The (hydroxyethyl)amine isostere, which targets the aspartyl protease class, is a stable mimetic of the tetrahedral intermediate of amide hydrolysis. Structure-based design, using the crystal structure of cathepsin D complexed with the peptide-based natural product pepstatin, was used to select the building blocks for the library synthesis. The library yielded a ‘hit rate’ of 6–7% at 1 μM inhibitor concentrations, with the most potent compound having a K_i value of 73 nM. More potent, nonpeptide inhibitors (K_i = 9–15 nM) of cathepsin D were rapidly identified by synthesizing and screening a small second generation library.Conclusions: The success of these studies clearly demonstrates the power of coupling the complementary methods of combinatorial chemistry and structure-based design. We anticipate that the general approaches described here will be successful for other members of the aspartyl protease class and for many other enzyme classes.     

Identification of ligands for the Tau exon 10 splicing regulatory element RNA by using dynamic combinatorial chemistry

We describe the use of dynamic combinatorial chemistry (DCC) to identify ligands for the stem-loop structure located at the exon 10-5'-intron junction of Tau pre-mRNA, which is involved in the onset of several tauopathies including frontotemporal dementia with Parkinsonism linked to chromosome 17 (FTDP-17). A series of ligands that combine the small aminoglycoside neamine and heteroaromatic moieties (azaquinolone and two acridines) have been identified by using DCC. These compounds effectively bind the stem-loop RNA target (the concentration required for 50% RNA response (EC(50)): 2-58 μM), as determined by fluorescence titration experiments. Importantly, most of them are able to stabilize both the wild-type and the +3 and +14 mutated sequences associated with the development of FTDP-17 without producing a significant change in the overall structure of the RNA (as analyzed by circular dichroism (CD) spectroscopy), which is a key factor for recognition by the splicing regulatory machinery. A good correlation has been found between the affinity of the ligands for the target and their ability to stabilize the RNA secondary structure.     

Combinatorial docking and combinatorial chemistry: Design of potent non-peptide thrombin inhibitors

A computational algorithm was used to design automatically novel thrombin inhibitors that are available from a single-step chemical reaction. The compounds do not contain amide bonds, are achiral and have a molecular weight below 400. Of the 10 compounds that were synthesized, five bind to thrombin with a Ki in the nanomolar range. Subsequent X-ray structure determination of the thrombin-inhibitor complex for the best compound (Ki=95 nM) confirms the predicted binding mode. The novel algorithm is applicable to a broad range of chemical reactions.