Target-induced selection of ligands from a dynamic combinatorial library of mono- and bi-conjugated oligonucleotides

A dynamic library of 15 mono- and bi-conjugated oligonucleotides was generated from a pool of three aldehydes and an oligonucleotide bearing two reactive amino groups. Addition of complementary target to the equilibrating mixture of imines resulted in selective amplification of one conjugate. UV-melting experiments confirmed that it was the best ligand among those that were tested. This study emphasizes that dynamic combinatorial chemistry can be used to simultaneously identify the type and the location of appended residues for stabilizing oligonucleotide complexes.     

Synthetic ligands discovered by in vitro selection

The recognition and catalytic properties of biopolymers derive from an elegant evolutionary mechanism, whereby the genetic material encoding molecules with superior functional attributes survives a selective pressure and is propagated to subsequent generations. This process is routinely mimicked in vitro to generate nucleic-acid or peptide ligands and catalysts. Recent advances in DNA-programmed organic synthesis have raised the possibility that evolutionary strategies could also be used for small-molecule discovery, but the idea remains unproven. Here, using DNA-programmed combinatorial chemistry, a collection of 100 million distinct compounds is synthesized and subjected to selection for binding to the N-terminal SH3 domain of the proto-oncogene Crk. Over six generations, the molecular population converges to a small number of novel SH3 domain ligands. Remarkably, the hits bind with affinities similar to those of peptide SH3 ligands isolated from phage libraries of comparable complexity. The evolutionary approach has the potential to drastically simplify and accelerate small-molecule discovery.     

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).     

Balancing focused combinatorial libraries based on multiple GPCR ligands

G-Protein coupled receptors (GPCRs) are important targets for drug discovery, and combinatorial chemistry is an important tool for pharmaceutical development. The absence of detailed structural information, however, limits the kinds of combinatorial design techniques that can be applied to GPCR targets. This is particularly problematic given the current emphasis on focused combinatorial libraries. By linking an incremental construction method (OptDesign) to the very fast shape-matching capability of ChemSpace, we have created an efficient method for designing targeted sublibraries that are topomerically similar to known actives. Multi-objective scoring allows consideration of multiple queries (actives) simultaneously. This can lead to a distribution of products skewed towards one particular query structure, however, particularly when the ligands of interest are quite dissimilar to one another. A novel pivoting technique is described which makes it possible to generate promising designs even under those circumstances. The approach is illustrated by application to some serotonergic agonists and chemokine antagonists.     

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.     

Cross-referenced combinatorial libraries for the discovery of metal-complexing ligands: library deconvolution by LC-MS

N-Acylthioureas are excellent ligands for a variety of heavy metals, but their metal selectivity is highly dependent on the precise nature of the substituents present. In this paper we show how combinatorial chemistry techniques can be used to establish relative affinities for copper within a mixture of 100 such thioureas. Following a straightforward synthesis, and copper extraction using standard liquid-liquid extraction techniques, LC-MS was used to identify the ligands which bind most strongly to the copper ions. Among the 100 ligands XC(O)N(Z)C(S)NHY, the most important substituent is the Y group bound to the NH: only aromatic Y substituents give strong binding to copper. The acyl X substituents are invariably aromatic, and an electron-rich X group is best; the affinity for copper seems to be less dependent on the Z substituent, although a large group such as benzyl disfavours copper binding. The five ligands from the library which bind copper most strongly have been clearly identified by a series of experiments: they all have aromatic groups in the Y position, but the X and Z substituents can be more varied. This is a very convincing demonstration of the power of combinatorial methods: to have found the same information by conventional methods would have required a lengthy and repetitive series of syntheses and investigations. In addition, our results give some preliminary evidence for synergistic binding of two different ligands, but this requires further investigation.     

Optimization of MoVSb oxide catalyst for partial oxidation of isobutane by combinatorial approaches

Optimization of the Mo-V-Sb mixed-oxide system for the selective oxidation of isobutane to methacrolein by true combinatorial methods primarily is intended to reduce the number of experiments in a broad parameter space. Therefore, an evolutionary approach based on a genetic algorithm has been chosen to screen three generations of 30 catalysts. With the help of automated sol-gel synthesis techniques, a high-throughput continuous flow reactor (16UPCFR), and appropriate software for experimental design, a new catalyst composition with improved performance has been obtained. Finally, the best catalysts were scaled-up to gram quantities and tested in a continuous-flow reactor unit that was equipped with four parallel reactors (4UPCFR). The final catalyst showed a significantly higher selectivity toward methacrolein at the same isobutane conversion, compared to the initial Mo8V2Sb90O(x) catalyst.     

A solution-phase combinatorial synthesis of selective dopamine D4 ligands

Utilizing combinatorial synthesis and a preparative LC-MS automated chromatography system we have prepared and purified a library of 4-[2-(1,2,4-oxadiazolyl)]piperidines that were designed to be novel and selective dopamine D4 ligands. In one round of synthesis we identified N-4-chlorobenzyl-4-[2-(3-(2-thienyl)-1,2, 4-oxadiazolyl)]piperidine with a Kd of 5 nM for the human D4 receptor.     

Rational principles of compound selection for combinatorial library design

It is practically impossible in a short period of time to synthesize and test all compounds in any large exhaustive chemical library. We discuss rational approaches to selecting representative subsets of virtual libraries that help direct experimental synthetic efforts for both targeted and diverse library design. For targeted library design, we consider principles based on the similarity to lead molecules. In the case of diverse library design, we discuss algorithms aimed at the selection of both diverse and representative subsets of the entire chemical library space. We illustrate methodologies with several practical examples.     

Rational and combinatorial design of peptide capping ligands for gold nanoparticles

Based on protein folding considerations, a pentapeptide ligand, CALNN, which converts citrate-stabilized gold nanoparticles into extremely stable, water-soluble gold nanoparticles with some chemical properties analogous to those of proteins, has been designed. These peptide-capped gold nanoparticles can be freeze-dried and stored as powders that can be subsequently redissolved to yield stable aqueous dispersions. Filtration, size-exclusion chromatography, ion-exchange chromatography, electrophoresis, and centrifugation can be applied to these particles. The effect of 58 different peptide sequences on the electrolyte-induced aggregation of the nanoparticles was studied. The stabilities conferred by these peptide ligands depended on their length, hydrophobicity, and charge and in some cases resulted in further improved stability compared with CALNN, yielding detailed design criteria for peptide capping ligands. A simple strategy for the introduction of recognition groups is proposed and demonstrated with biotin and Strep-tag II.     

Amplification of bifunctional ligands for calmodulin from a dynamic combinatorial library

A well known strategy to prepare high affinity ligands for a biological receptor is to link together low affinity ligands. DCC (dynamic combinatorial chemistry) was used to select bifunctional protein ligands with high affinity relative to the corresponding monofunctional ligands. Thiol to disulfide linkage generated a small dynamic library of bifunctional ligands in the presence of calmodulin, a protein with two independently mobile domains. The binding constant of the bifunctional ligand (disulfide) most amplified by the presence of calmodulin is nearly two orders of magnitude higher than that of the corresponding monofunctional ligand (thiol).     

Self-assembly of bidentate ligands for combinatorial homogeneous catalysis: asymmetric rhodium-catalyzed hydrogenation

The first chiral ligand library based on self-assembly through complementary hydrogen-bonding was realized. From a 10 x 4 ligand library, catalysts that show excellent activity and enantioselectivity for the asymmetric rhodium-catalyzed hydrogenation have been identified.     

Acquisition of Fyn-selective SH3 domain ligands via a combinatorial library strategy

A stepwise library-based strategy has been employed to acquire a potent ligand for the SH3 domain of Fyn, a Src kinase family member that plays a key role in T cell activation. The easily automated methodology is designed to identify potential interaction sites that circumscribe the protein/peptide binding region on the SH3 domain. The library protocol creates peptide/nonpeptide chimeras that are able to bind to these interaction sites that are otherwise inaccessible to natural amino acid residues. The peptide-derived lead and the Fyn-SH3 domain form a complex that exhibits a K(D) of 25 +/- 5 nM, approximately 1000-fold more potent than that displayed by the corresponding conventional peptide ligand. Furthermore, the lead ligand exhibits selectivity against SH3 domains derived from other Src kinases, in spite of a sequence identity of approximately 80%.     

A topologically segregated one-bead-one-compound combinatorial glycopeptide library for identification of lectin ligands

A glycopeptide library containing more than 500,000 compounds has been constructed from a combination of Asn-linked carbohydrates using one-bead-one-compound combinatorial methodologies. The library was encoded with peptide markers that were topologically segregated on the interior of the solid support to negate interference with carbohydrate/protein recognition during lectin screening. Both the peptide backbone and carbohydrate components were randomized, but the glycosamine was limited to position 3 at the center of the pentapeptide to evaluate the influence of the peptide backbone in lectin recognition. Of the four lectins that were evaluated, remarkable selectivity was observed with wheat germ agglutinin (WGA), which recognizes N-acetyl glucosamine (GlcNAc). From more than 80,000 possible combinations, only six ligands were identified, all possessing GlcNAc. These compounds were independently synthesized, characterized, and evaluated in solution. All six of the glycopeptides showed higher affinity for WGA than GlcNAc, with one having a 4-fold increase. Modeling studies indicate that the peptide backbone is capable of interacting with amino acids in the active site of WGA, but these interactions are not strongly correlated with activity, suggesting that the primary role of the peptide is to properly orient the sugar in the recognition process.     

OptDesign: extending optimizable k-dissimilarity selection to combinatorial library design

Optimizable k-dissimilarity (OptiSim) selection entails drawing a series of subsamples of size k from a population and choosing the "best" candidate from each such subsample for inclusion in the selection set. By varying the size of the subsample, one can control the balance between representativeness and diversity in the selection set obtained. In the original formulation, a uniform random sampling from among valid candidates was used to draw the subsamples from a single target population. Here we describe in detail two key modifications that serve to extend the OptiSim methodology to vector selection for interdependent variables, specifically as applied to the design of combinatorial sublibraries. The first modification involves pivoting between variables: subsamples are drawn from each reagent pool in turn, with the viability of each candidate being evaluated in isolation as well as in terms of the products it will produce from complementary reagents already selected. The filters applied may be static or dynamic in nature, with molecular weight and hydrophobicity being examples of the former and structural diversity with respect to reagents already selected being an example of the latter. The second key modification is adding the ability to bias the selection of candidate reagents for inclusion in the subsamples. Taken together, these modifications support the efficient generation of multiblock and other sparse matrix designs that are both representative and diverse, and for which "backfilling" of designs edited to remove undesirable reagents or products is straightforward. The method is intrinsically fast and efficient, since enumeration of the full combinatorial is not required- only those candidates actually considered for inclusion need be evaluated. Moreover, because the subsample selection step is separate from the diversity-based selection of the "best" candidate, incorporating such bias in favor of a competing criterion such as low price provides a "natural," nonparametric mechanism for generating designs that are likely to be "good" in a double-objective, Pareto sense.     

Localized protein interaction surfaces on the EntB carrier protein revealed by combinatorial mutagenesis and selection

Carrier proteins are 80- to 100-residue way stations that are central to polyketide synthase (PKS) and nonribosomal peptide synthetase (NRPS) enzymatic assembly lines. Because the biosynthetic intermediates for catalytic operations are presented on carrier proteins as covalently attached thioesters (via a 4'-phosphopantetheine prosthetic group), the specific protein-protein interactions between carrier proteins and other NRPS/PKS domains are critical for high-fidelity conversion to the final product. Here we show by combinatorial mutagenesis and selection that the aryl carrier protein of EntB (EntB-ArCP) contains localized protein interaction surfaces. Our strategy involved random mutagenesis of N-terminal regions of EntB-ArCP, then selection for clones that produce enterobactin by plating onto iron-deficient media. We identified several residues that were highly conserved from our selection, two of which (G242 and D244) constitute an interaction surface on EntB-ArCP for the phosphopantetheinyl transferases (PPTases) EntD and Sfp. This PPTase interface is distinct from a previously characterized interface on EntB-ArCP for the downstream elongation module, EntF. These results suggest that different protein components recognize different faces of EntB-ArCP in the enterobactin synthetase and that the majority of EntB-ArCP surface residues are not involved in these interactions. Therefore, designing noncognate carrier protein interactions in PKS and NRPS systems should be possible with very few mutations on a particular carrier protein.     

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.     

Novel structural templates for estrogen-receptor ligands and prospects for combinatorial synthesis of estrogens

BACKGROUND: The development of estrogen pharmaceutical agents with appropriate tissue-selectivity profiles has not yet benefited substantially from the application of combinatorial synthetic approaches to the preparation of structural classes that are known to be ligands for the estrogen receptor (ER). We have developed an estrogen pharmacophore that consists of a simple heterocyclic core scaffold, amenable to construction by combinatorial methods, onto which are appended 3-4 peripheral substituents that embody substructural motifs commonly found in nonsteroidal estrogens. The issue addressed here is whether these heterocyclic core structures can be used to prepare ligands with good affinity for the ER. RESULTS: We prepared representative members of various azole core structures. Although members of the imidazole, thiazole or isoxazole classes generally have weak binding for the ER, several members of the pyrazole class show good binding affinity. The high-affinity pyrazoles bear close conformational relationship to the nonsteroidal ligand raloxifene, and they can be fitted into the ligand-binding pocket of the ER-raloxifene X-ray structure. CONCLUSIONS: Compounds such as these pyrazoles, which are novel ER ligands, are well suited for combinatorial synthesis using solid-phase methods.