Combinatorial Chemical Libraries Research Articles

Phage-encoded combinatorial chemical libraries based on bicyclic peptides

Here we describe a phage strategy for the selection of ligands based on bicyclic or linear peptides attached covalently to an organic core. We designed peptide repertoires with three reactive cysteine residues, each spaced apart by several random amino acid residues, and we fused the repertoires to the phage gene-3-protein. Conjugation with tris-(bromomethyl)benzene via the reactive cysteines generated repertoires of peptide conjugates with two peptide loops anchored to a mesitylene core. Iterative affinity selections yielded several enzyme inhibitors; after further mutagenesis and selection, we were able to chemically synthesize a lead inhibitor (PK15; Ki =1.5 nM) specific to human plasma kallikrein that efficiently interrupted the intrinsic coagulation pathway in human plasma tested ex vivo. This approach offers a powerful means of generating and selecting bicyclic macrocycles (or if cleaved, linear derivatives thereof) as ligands poised at the interface of small-molecule drugs and biologics.

The use of combinatorial chemistry libraries for the discovery of biologically active substances

The use of combinatorial chemistry libraries for the discovery of biologically active substances

Efficient Exploration of Large Combinatorial Chemistry Spaces by Monomer-Based Similarity Searching

In modern drug discovery, 2-D similarity searching is widely employed as a cost-effective way to screen large compound collections and select subsets of molecules that may have interesting biological activity prior to experimental screening. Nowadays, there is a growing interest in applying the existing 2-D similarity searching methods to combinatorial chemistry libraries to search for novel hits or to evolve lead series. A dilemma thus arises when many identical substructures recur in library products and they have to be considered repeatedly in descriptor calculations. The dilemma is exacerbated by the astronomical number of combinatorial products. This problem imposes a major barrier to similarity searching of large combinatorial chemistry spaces. An efficient approach, termed Monomer-based Similarity Searching (MoBSS), is proposed to remedy the problem. MoBSS calculates atom pair (AP) descriptors based on interatomic topological distances, which lend themselves to pair additivity. A fast algorithm is employed in MoBSS to rapidly compute product atom pairs from those of the constituent fragments. The details of the algorithm are presented along with a series of proof-of-concept studies, which demonstrate the speed, accuracy, and utility of the MoBSS approach.

LAS0811: From Combinatorial Chemistry to Activation of Antioxidant Response Element

The antioxidant response element (ARE) and its transcription factor, nuclear factor-erythroid 2 p45-related factor 2 (Nrf2), are potential targets for cancer chemoprevention. We sought to screen small molecules synthesized with combinatorial chemistry for activation of ARE. By high-throughput screening of 9400 small molecules from 10 combinatorial chemical libraries using HepG2 cells with an ARE-driven reporter, we have identified a novel small molecule, 1,2-dimethoxy-4,5-dinitrobenzene (LAS0811), as an activator of the ARE. LAS0811 upregulated the activity of NAD(P)H:quinone oxidoreductase 1 (NQO1), a representative antioxidative enzyme regulated by ARE. It enhanced production of an endogenous reducing agent, glutathione (GSH). In addition, LAS0811 induced expression of heme oxygenase 1 (HO1), which is an ARE-regulated enzyme with anti-inflammatory activity. Furthermore, LAS0811 reduced cell death due to the cytotoxic stress of a strong oxidant, t-butyl hydroperoxide (t-BOOH). Mechanistically, LAS0811 upregulated the expression of Nrf2 and promoted its translocation into the nuclei leading to subsequent ARE activation. Taken together, LAS0811 is a novel activator of the ARE and its associated detoxifying genes and, thus, a potential agent for cancer chemoprevention.

CLEVER: Pipeline for designing in silico chemical libraries

Advances in virtual screening have created new channels for expediting the process of discovering novel drugs. Of particular relevance and interest are in silico techniques that enable the enumeration of combinatorial chemical libraries, generation of 3D coordinates and assessment of their propensity for drug-likeness. In a bid to provide an integrated pipeline that encompasses the common components functional for designing, managing and analyzing combinatorial chemical libraries, we describe a platform-independent, standalone Java application entitled CLEVER (Chemical Library Editing, Visualizing and Enumerating Resource). CLEVER supports chemical library creation and manipulation, combinatorial chemical library enumeration using user-specified chemical components, chemical format conversion and visualization, as well as chemical compounds analysis and filtration with respect to drug-likeness, lead-likeness and fragment-likeness based on the physicochemical properties computed from the derived molecules. Also provided is an integrated property-based graphing component that visually depicts the diversity, coverage and distribution of selected compound collections. When deployed in conjunction with large-scale virtual screening campaigns, CLEVER can offer insights into what chemical compounds to synthesize, and more importantly, what not to synthesize. The software is available at http://datam.i2r.a-star.edu.sg/clever/.

Data Mining a Small Molecule Drug Screening Representative Subset from NIH PubChem

PubChem is a scientific showcase of the NIH Roadmap Initiatives. It is a compound repository created to facilitate information exchange and data sharing among the NIH Roadmap-funded Molecular Library Screening Center Network (MLSCN) and the scientific community. However, PubChem has more than 10 million records of compound information. It will be challenging to conduct a drug screening of the whole database of millions of compounds. Thus, the purpose of the present study was to develop a data mining cheminformatics approach in order to construct a representative and structure-diverse sublibrary from the large PubChem database. In this study, a new chemical diverse representative subset, rePubChem, was selected by whole-molecule chemistry-space matrix calculation using the cell-based partition algorithm. The representative subset was generated and was then subjected to evaluations by compound property analyses based on 1D and 2D molecular descriptors. The new subset was also examined and assessed for self-similarity analysis based on 2D molecular fingerprints in comparing with the source compound library. The new subset has a much smaller library size (540K compounds) with minimum similarity and redundancy without loss of the structural diversity and basic molecular properties of its parent library (5.3 million compounds). The new representative subset library generated could be a valuable structure-diverse compound resource for in silico virtual screening and in vitro HTS drug screening. In addition, the established subset generation method of using the combined cell-based chemistry-space partition metrics with pairwised 2D fingerprint-based similarity search approaches will also be important to a broad scientific community interested in acquiring structurally diverse compounds for efficient drug screening, building representative virtual combinatorial chemistry libraries for syntheses, and data mining large compound databases like the PubChem library in general.

Challenges in developing P2 purinoceptor-based therapeutics.

Advances in the molecular cloning, expression and functional characterization of the P2 purinoceptor superfamily have provided a wealth of data to support a diverse functional role for ATP and related nucleotides in the regulation of tissue function. As with other receptor superfamilies, it is likely that distinct subtypes of each receptor will subserve discrete functions depending on tissue distribution and disease pathophysiology. At the present time, ATP is being evaluated as an anticancer agent and as an anaesthesia adjunct whereas UTP is studied as a novel treatment for cystic fibrosis. ARL67085 is a potent and selective P2T receptor antagonist that has potential as a novel antithrombotic agent. The key to exploiting the P2 purinoceptor area to enhance understanding of disease aetiology and concurrent therapeutic potential will be to focus efforts on the identification of novel pharmacophores that have potent and selective interactions with the various receptor subtypes as potential new leads. To this end, the use of high-throughput screening in conjunction with combinatorial chemical, conventional chemical and natural product library compound sources will be critical.

Inhibition of Lethal Endotoxin Shock with an L-Pyridylalanine Containing Metalloproteinase Inhibitor Selected by High-Throughput Screening of a New Peptide Library

Gelatinase B/MMP-9 fulfills crucial regulator or effector functions in disease states and may be pharmacologically targeted by specific inhibitors. The characteristics of cleavages of a natural gelatinase B substrate were simulated and amino acids with zinc-ion chelating side-groups were employed to design a library of peptide-based inhibitors. Here, we extend previous findings of combinatorial chemical synthesis and subsequent library deconvolution with a recently established high-throughput technology. This enabled us to study MMP inhibitors with two zinc-binding groups and to identify a new L-pyridylalanine-containing gelatinase B inhibitor. The peptide analog was found to inhibit, almost to the same degree, the neutrophil enzymes collagenase 2/ MMP-8 and MMP-9 and the monocytic tumor necrosis factor-alpha (TNF-alpha) converting enzyme (TACE/ADAM-17) in vitro and to protect mice against lethal endotoxinemia in vivo. These data illustrate the usefulness of the screening platform for protective inhibitor discovery and complement recent insights in the pathogenesis and treatment of shock syndromes.

Reduction of transmissible spongiform encephalopathy infectivity from human red blood cells with prion protein affinity ligands

There is a demonstrated risk of infection by transmissible spongiform encephalopathies (TSEs) through transfusion from asymptomatic donors. Currently, blood-borne TSE infectivity cannot be detected with a diagnostic test, nor is it likely to be amenable to inactivation; however, its depletion with specific adsorp-tive ligand resins is possible. Six ligands that bind the prion protein, PrP, were selected by screening large solid-phase combinatorial chemical libraries. The selected resins were placed in columns and challenged with a unit of leukoreduced human red blood cells (RBCs) spiked with hamster brain-derived scrapie infectivity. The performance of each ligand was assessed by comparing the TSE infectivity titer in the RBCs before and after passage through each of five resin columns in series. Four resins were able to reduce infectivity titer by 3 to more than 4 log ID(50) per mL. The reduction was not due to nonspecific matrix interactions since a chemical modification of the most effective ligand completely abolished its ability to bind infectivity (negative control). A small subfraction of the infectivity, 0.01 percent, could not be removed, even upon repeated passage through successive columns. If endogenous TSE infectivity in RBCs binds to the ligands in the same proportion as brain-derived infectivity spiked into RBCs, the four most effective ligands would remove 3 to 4 log ID(50) per mL. A follow-up experiment is in progress to test whether endogenous blood-borne infectivity is also reduced.

A general solid phase synthesis of 4-substituted quinolinones via Pd-catalyzed cross coupling

A general method for the solid phase synthesis of 4-hydroxy quinolinones and subsequent Pd-catalyzed cross coupling to afford 4-substituted quinolinones has been developed. Conversion of support-bound 4-hydroxy quinolinones to 4-tosyl quinolinones and subsequent treatment with alkyl, aryl, benzylzinc halides, or arylboronic acids in the presence of catalytic amount of Pd(PPh 3) 4 provides 4-alkyl, aryl, or benzyl quinolinones. This method allows for the introduction of alkyl, aryl, and benzyl groups at the 4-position of the quinolinone ring, and is ideal for parallel and combinatorial chemistry library synthesis.

Efficient synthesis of tertiary amines from secondary amines

Reliable N-alkylations of secondary amines have been developed. By using DIAD and TPP (or PS-TPP) a variety of secondary amines can be converted to the corresponding tertiary amines in good to excellent yields with diverse alkylhalides; no formation of quaternary amine salts are observed. These protocols are amenable to combinatorial chemistry libraries, and are also useful for the syntheses of secondary amines by an acid lysis of the cleavable tertiary amino resins.

Allosteric Activation of the Follicle-stimulating Hormone (FSH) Receptor by Selective, Nonpeptide Agonists

The pituitary glycoprotein hormones, luteinizing hormone and follicle-stimulating hormone (FSH), act through their cognate receptors to initiate a series of coordinated physiological events that results in germ cell maturation. Given the importance of FSH in regulating folliculogenesis and fertility, the development of FSH mimetics has been sought to treat infertility. Currently, purified and recombinant human FSH are the only FSH receptor (FSH-R) agonists available for infertility treatment. By screening unbiased combinatorial chemistry libraries, using a cAMP-responsive luciferase reporter assay, we discovered thiazolidinone agonists (EC50's = 20 microm) of the human FSH-R. Subsequent analog library screening and parallel synthesis optimization resulted in the identification of a potent agonist (EC50 = 2 nm) with full efficacy compared with FSH that was FSH-R-selective and -dependent. The compound mediated progesterone production in Y1 cells transfected with the human FSH-R (EC50 = 980 nm) and estradiol production from primary rat ovarian granulosa cells (EC50 = 10.5 nm). This and related compounds did not compete with FSH for binding to the FSH-R. Use of human FSH/thyroid-stimulating hormone (TSH) receptor chimeras suggested a novel mechanism for receptor activation through a binding site independent of the natural hormone binding site. This study is the first report of a high affinity small molecule agonist that activates a glycoprotein hormone receptor through an allosteric mechanism. The small molecule FSH receptor agonists described here could lead to an oral alternative to the current parenteral FSH treatments used clinically to induce ovarian stimulation for both in vivo and in vitro fertilization therapy.

Marcel Faber Roundtable: Is our antibiotic pipeline unproductive because of starvation, constipation or lack of inspiration?

There are few new antibiotics in the pipeline today. The reasons may include starvation at the front of the pipeline due to inadequate sources of suitable compounds to screen coupled with poorly validated discovery methodologies. A successful antibiotic discovery approach in the past, based upon whole cell antibiotic screening of natural products from actinomycetes and fungi, eventually suffered from constipation in the middle of the pipeline due to rediscovery of known compounds, even though low throughput methodology was employed at the front end. The current lack of productivity may be attributed to the poor choice of strategies to address the discovery of new antibiotics. Recent applications of high throughput in vitro screening of individual antibacterial targets to identify lead compounds from combinatorial chemical libraries, traditional chemical libraries, and partially purified natural product extracts has not produced any significant clinical candidates. The solution to the current dilemma may be to return to natural product whole cell screening. For this approach to work in the current millennium, the process needs to be miniaturized to increase the throughput by orders of magnitude over traditional screening, and the rediscovery of known antibiotics needs to be minimized by methods that can be readily monitored and improved over time.

Knowledge-Based Design of Target-Focused Libraries Using Protein−Ligand Interaction Constraints

Here we present a new strategy for designing and filtering potentially massive combinatorial libraries using structural information of a binding site. We have developed a variation of the structural interaction fingerprint (SIFt) named r-SIFt, which incorporates the binding interactions of variable fragments in a combinatorial library. This method takes into account the 3D structure of the active site of the target molecule and translates desirable ligand-target binding interactions into library filtering constraints. We show using the MAP kinase p38 as a test case that we can efficiently analyze and classify compounds on the basis of their abilities to interact with the target in the desired binding mode. On the basis of these classifications, decision tree models were generated using the molecular descriptors of the compounds as predictor variables. Our results suggest that r-SIFt coupled with the classification models should be a valuable tool for structure-based focusing of combinatorial chemical libraries.

Combinatorial approach to identification of tyrphostin inhibitors of cytokine signaling

Aberrant or deregulated activity of certain cellular kinases has been shown to cause certain malignancies and other disorders. The tyrphostin molecule AG490 inhibits the action of the janus kinases JAK2 and JAK3. JAK2 is an indispensable molecule for transducing the signals conveyed by a large number of cytokines including IL-3 while JAK3 is essential for signaling by a smaller number of cytokines including IL-7. A synthetic combinatorial chemical library containing 599 compounds was created and screened for the ability to inhibit proliferation of IL3- and IL7-dependent cell lines to focus on molecules that interrupt those signaling pathways. This screen identified a meta-trifluoromethyl derivative of AG490, 5H4, that is approximately twice as potent as AG490 in cell-based assays. 5H4 blocked the factor-dependent proliferation of both of these cell lines, actively promoted cell death, and diminished the JAK kinase activity. Administration of 5H4 to lymphoma-prone IL-7 transgenic mice reduced their spontaneous lymphadenopathy. The improved characteristics of this novel compound bring this class of molecules closer to therapeutic utility.

A Small‐Molecule Agonist of the Wnt Signaling Pathway

A new tool for developmental biology: A screen of combinatorial chemical libraries identified the 2-amino-4,6-disubstituted pyrimidine 1 as a dose-dependent agonist of Wnt signaling. Tadpoles that developed from embryos treated with 1 had substantial head defects (see right-hand image; left=control). Compound 1 appears to mimic the effects of a Wnt ligand in a Xenopus model and may be a useful tool in the study of physiological processes that involve the Wnt pathway. Supporting information for this article is available on the WWW under http://www.wiley-vch.de/contents/jc_2002/2005/z462552_s.pdf or from the author. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

Stoichiometric Selection of Tight-Binding Inhibitors by Wild-Type and Mutant Forms of Malarial (Plasmodiumfalciparum) Dihydrofolate Reductase

A simple method for screening combinatorial and other libraries of inhibitors of malarial (Plasmodium falciparum) dihydrofolate reductase (PfDHFR) has been developed, based on the affinities of the inhibitors with the enzyme. In the presence of limiting amounts of the enzyme, a number of inhibitors in the library were bound to extents reflecting the relative binding affinities. Following ultrafiltration and guanidine hydrochloride treatment to release bound inhibitors, the amounts of free and bound inhibitors could be determined by high-performance liquid chromatography and liquid chromatography-mass spectrometry. The differences in the patterns reflected the binding of high-affinity components compared with the other members in the library. A good correlation was found between the inhibition constants (Ki values) and the extent of binding of inhibitors to wild-type, double (C59R+S108N) and quadruple mutant (N51I+C59R+S108N+I164L) of PfDHFR, as well as human DHFR. In addition to identifying lead components of the libraries with high affinities (low Ki values) and stabilities (low k(off) rates), this simple method also provides an alternative way for quickly and accurately calculating enzyme binding affinities of inhibitors in combinatorial chemical libraries.

Identification and Characterization of Novel Small-Molecule Inhibitors of the Replication Checkpoint.

Background The replication (G2/M) checkpoint is principally mediated by the serine/threonine protein kinase ATR (ataxia telangiectasia mutated and Rad3-related). ATR is a large (350 kD) member of the phosphatidylinositol kinase related kinase family. After exposure to genotoxic or replication stress, ATR halts cell cycle progression, allowing DNA repair complexes time enough to restore the fidelity of the genome prior to cell division. Previous experiments have demonstrated that cancer cells with p53 mutation are critically dependent on ATR-mediated arrest of the cell cycle. Industrial approaches to identify ATR inhibitors have failed likely as a result of protein insolubility.Methods We have undertaken a novel chemical genetic approach employing small molecule microarrays (SMMs) to identify molecules with high binding specificity for ATR. Three diversity-oriented combinatorial chemical libraries of more than 15,000 entities were generated by split-pool synthesis in solid phase on polystyrene macrobead supports. Compounds were robotically printed in microarray format on glass slides. Four analogs of FK506 were printed as positive controls. Extracts were prepared from mammalian cells transfected with over-expression constructs of FLAG-tagged ATR, FKBP12 and GFP. A protocol was developed and optimized for screening employing a primary anti-FLAG mouse monoclonal antibody and Cy5-fluorophore labeled anti-mouse antibody. Data analysis for small molecule binders was performed with GenePix software on an Axon Scanner. Biological activity of these molecules was analyzed in the context of mitotic spread and chromosomal fragility assays.Results Protein expression and antibody fidelity was verified by Western blot. The lysate-based SMM screening approach was optimized and validated by recognition of an interaction between over-expressed, epitope-tagged FKBP12 and analogs of FK506. Six small molecule hits suggesting ATR binding were identified and verified by triplicate microarray assays. Positive compounds were structurally similar members of a dihydropyrancarboxamide library suggesting recognition of a common target. Mitotic spread analysis of cells treated with two of these molecules and hydroxyurea demonstrated the premature chromatin condensation phenotype characteristic of replication checkpoint inhibition. Chromosomal fragility was notably augmented by these molecules as well. Chemosensitivity following replication stress was witnessed in p53-negative cells relative to an otherwise identical wild-type cell line.Conclusions Classical approaches to drug discovery are often limited by challenges in protein biochemistry such as protein size, solubility, activity and yield. We present compelling data that the small molecule microarray format can effectively be tailored for use with cellular lysates over-expressing a protein target of biological interest. Furthermore, we have used an optimized protocol to identify two novel, active small molecule inhibitors of the replication checkpoint (SMIRC-1 and SMIRC-2). The enhanced chemosensitivity in p53-negative cell lines supports a plausible role for ATR inhibitors as potentially useful chemotherapeutic agents.

Nociceptin antagonism: probing the receptor by N-acetyl oligopeptides

In search for effective antagonist structures for the nociceptin (NOP) receptor, a number of N-acylated oligopeptides, including N-acyl tetra- and pentapeptides selective for the κ-opioid receptor, as well as N-acyl hexapeptides bearing the Ac-Arg-Tyr-Tyr-Arg-Ile-Lys (Ac-RYYRIK) core sequence originally isolated from combinatorial chemical libraries, were synthesized and studied in radioreceptor binding assays, [ 35S]GTPγS functional tests and in mouse vas deferens (MVD) bioassays. The properties of the novel antagonist candidates were compared to known antagonists. A new antagonist structure with a reduced, primer alcohol C-terminus, Ac-Arg-Tyr-Tyr-Arg-Ile-lysinol (Ac-RYYRIK-ol) was described in the mouse vas deferens tests, showing an equilibrium inhibitory constant value ( K e) of 2.44 nM, and no agonist effect at 10 μM ligand concentration. Schild-analysis indicated a clearly competitive interaction at the NOP receptor, whereas the peptide did not affect the action of the δ-opioid receptor agonist [ d-Ala 2, d-Leu 5]enkephalin. Ac-RYYRIK-ol also exhibited a high affinity in [ 3H]nociceptin-NH 2 binding competition assays using rat brain membranes. Agonist-induced G-protein activation via NOP receptors was studied in [ 35S]GTPγS binding stimulation assays by the use of both native brain tissue preparations and membranes from cultured CHO cells expressing recombinant nociceptin receptors. Ac-RYYRIK-ol displayed only weak intrinsic agonist activity, whereas it effectively inhibited the stimulation generated by nociceptin. The results support the high potency and antagonist nature of Ac-RYYRIK-ol and reveal important roles for both the N- and the C-terminal region of the molecule.

DNA display II. Genetic manipulation of combinatorial chemistry libraries for small-molecule evolution.

Biological in vitro selection techniques, such as RNA aptamer methods and mRNA display, have proven to be powerful approaches for engineering molecules with novel functions. These techniques are based on iterative amplification of biopolymer libraries, interposed by selection for a desired functional property. Rare, promising compounds are enriched over multiple generations of a constantly replicating molecular population, and subsequently identified. The restriction of such methods to DNA, RNA, and polypeptides precludes their use for small-molecule discovery. To overcome this limitation, we have directed the synthesis of combinatorial chemistry libraries with DNA “genes,” making possible iterative amplification of a nonbiological molecular species. By differential hybridization during the course of a traditional split-and-pool combinatorial synthesis, the DNA sequence of each gene is read out and translated into a unique small-molecule structure. This “chemical translation” provides practical access to synthetic compound populations 1 million-fold more complex than state-of-the-art combinatorial libraries. We carried out an in vitro selection experiment (iterated chemical translation, selection, and amplification) on a library of 106 nonnatural peptides. The library converged over three generations to a high-affinity protein ligand. The ability to genetically encode diverse classes of synthetic transformations enables the in vitro selection and potential evolution of an essentially limitless collection of compound families, opening new avenues to drug discovery, catalyst design, and the development of a materials science “biology.”