A novel complexity-to-diversity strategy for the diversity-oriented synthesis of structurally diverse and complex macrocycles from quinine

Recent years have witnessed a global decline in the productivity and advancement of the pharmaceutical industry. A major contributing factor to this is the downturn in drug discovery successes. This can be attributed to the lack of structural (particularly scaffold) diversity and structural complexity exhibited by current small molecule screening collections.Macrocycles have been shown to exhibit a diverse range of biological properties, with over 100 natural product-derived examples currently marketed as FDA-approved drugs. Despite this, synthetic macrocycles are widely considered to be a poorly explored structural class within drug discovery, which can be attributed to their synthetic intractability.Herein we describe a novel complexity-to-diversity strategy for the diversity-oriented synthesis of novel, structurally complex and diverse macrocyclic scaffolds from natural product starting materials. This approach exploits the inherent structural (including functional) and stereochemical complexity of natural products in order to rapidly generate diversity and complexity. Readily-accessible natural product-derived intermediates serve as structural templates which can be divergently functionalized with different building blocks to generate a diverse range of acyclic precursors. Subsequent macrocyclisation then furnishes compounds that are each based around a distinct molecular scaffold. Thus, high levels of library scaffold diversity can be rapidly achieved. In this proof-of-concept study, the natural product quinine was used as the foundation for library synthesis, and six novel structurally diverse, highly complex and functionalized macrocycles were generated.     

TrkA kinase inhibitors from a library of modified and isosteric Staurosporine aglycone

An immobilized Staurosporine aglycone isostere where one of the indole nitrogen atoms was replaced by carbon has been sequentially functionalized to generate compounds inhibiting TrkA kinase. In the first phase, initial screening of a library of C13-hydroxymethyl-7-oxo-indenopyrrolocarbazoles resulted in several potent compounds, one of which was further optimized to generate the corresponding carbamates on solid phase. Some of the major carbamate diastereomers were found to be several-fold more potent than their alcohol parents. Synthesis, SAR analysis, kinase selectivity, and anti-tumor properties of a TrkA inhibitor (12a) are discussed.     

The application of a 3D-QSAR (autoMEP/PLS) approach as an efficient pharmacodynamic-driven filtering method for small-sized virtual library: application to a lead optimization of a human A3 adenosine receptor antagonist

We have recently reported that the combination of molecular electrostatic potential (MEP) surface properties (autocorrelation vectors) with the conventional partial least squares (PLS) analysis can be used to produce a robust ligand-based 3D structure-activity relationship (autoMEP/PLS) for the prediction of the human A3 receptor antagonist activities. Here, we present the application of the 3D-QSAR (autoMEP/PLS) approach as an efficient and alternative pharmacodynamic filtering method for small-sized virtual library. For this purpose, a small-sized combinatorial library (841 compounds) was derived from the scaffold of the known human A3 antagonist pyrazolo-triazolo-pyrimidines. The most interesting analogues were further prioritized for synthesis and pharmacological characterization. Remarkably, we have found that all the newly synthetized compounds are correctly predicted as potent human A3 antagonists. In particular, two of them are correctly predicted as sub-nanomolar inhibitors of the human A3 receptor.     

Evaluation of the amino acid binding site of Mycobacterium tuberculosis glutamine synthetase for drug discovery

A combination of a literature survey, structure-based virtual screening and synthesis of a small library was performed to identify hits to the potential antimycobacterial drug target, glutamine synthetase. The best inhibitor identified from the literature survey was (2S,5R)-2,6-diamino-5-hydroxyhexanoic acid (4, IC(50) of 610+/-15microM). In the virtual screening 46,400 compounds were docked and subjected to a pharmacophore search. Of these compounds, 29 were purchased and tested in a biological assay, allowing three novel inhibitors containing an aromatic scaffold to be identified. Based on one of the hits from the virtual screening a small library of 15 analogues was synthesized producing four compounds that inhibited glutamine synthetase.     

Synthesis and structure-activity relationship of disubstituted benzamides as a novel class of antimalarial agents

Malaria is a devastating world health problem. Using a compound library screening approach, we identified a novel series of disubstituted benzamide compounds with significant activity against malaria strains 3D7 and K1. These compounds represent a new antimalarial molecular scaffold exemplified by compound 1, which demonstrated EC(50) values of 60 and 430 nM against strains 3D7 and K1, respectively. Herein we report our findings on the efficient synthesis, structure-activity relationships, and biological activity of this new class of antimalarial agents.     

Cyclodidepsipeptides with a promising scaffold in medicinal chemistry

Among the large family of cyclodepsipeptides, the simplest members are the cyclodidepsipeptides which have an ester group and an amide group in the same six-membered ring. To point out the pharmacological potential of this class of compounds, the present article reviews structure, isolation, synthesis and biological properties of the known cyclodidepsipeptides. Synthesis of cyclodidepsipeptides is achieved by two general approaches—by initial formation of the amide bond, or initial formation of the ester bond; and subsequent intermolecular cyclization to cyclodidepsipeptide structure. It is closely related to the condensation and ring-closure strategies applied in the preparation of the larger members of the cyclodepsipeptide family. However, due to synthesis of the smaller heretocycles it allows for the use of more versatile building blocks. There are data on antimicrobial, antioxidant and immunomodulatory activities of cyclodidepsipeptides as well as their inhibitory activities toward α-glucosidase, acyl-CoA:cholesterol acyltransferase, xanthine oxidase and platelet aggregation. Because we have recently found that two 6-(propan-2-yl)-4-methyl-morpholine-2,5-diones, as novel non-purine xanthine oxidase inhibitors, may give promise to be used in the treatment of gout, in this review we have included a study of molecular interactions of the selected cyclodidepsipeptides with xanthine oxidase using idTarget web server. Cyclodidepsipeptides showed promising pharmacological activities and meet all criteria for good solubility and permeability. However, further research of their medical application is necessary. In addition to this, the diversity of natural cyclodidepsipeptides, simplicity for synthesis and convenience for rational drug design indicate the cyclodidepsipeptide as promising scaffold in medicinal chemistry.     

Parallel synthesis of 9-aminoacridines and their evaluation against chloroquine-resistant Plasmodium falciparum

A parallel synthetic strategy to the 9-aminoacridine scaffold of the classical anti-malarial drug quinacrine (2) is presented. The method features a new route to 9-chloroacridines that utilizes triflates of salicylic acid derivatives, which are commercially available in a variety of substitution patterns. The route allows ready variation of the two diversity elements present in this class of molecules: the tricyclic aromatic heterocyclic core, and the disubstituted diamine sidechain. In this study, a library of 175 compounds was designed, although only 93 of the final products had purities acceptable for screening. Impurity was generally due to incomplete removal of 9-acridones (18), a degradation product of the 9-chloroacridine synthetic intermediates. The library was screened against two strains of Plasmodium falciparum, including a model of the drug-resistant parasite, and six novel compounds were found to have IC(50) values in the low nanomolar range.     

'Anticalins': a new class of engineered ligand-binding proteins with antibody-like properties

The development of soluble receptor proteins that recognise given target molecules--ranging from small chemical compounds to macromolecular structures at a cell surface, for example--is of ever increasing importance in the life sciences and biotechnology. For the past century this area of application was dominated by antibodies, which were traditionally generated via immunisation of animals but have recently also become available by means of protein engineering methods. The so-called 'anticalins' offer an alternative type of ligand-binding proteins, which has been constructed on the basis of lipocalins as a scaffold. The central element of this protein architecture is a beta-barrel structure of eight antiparallel strands, which supports four loops at its open end. These loops form the natural binding site of the lipocalins and can be reshaped in vitro by extensive amino acid replacement, thus creating novel binding specificities. The bilin-binding protein (BBP) was employed as a model system for the preparation of a random library with 16 selectively mutagenized residues. Using bacterial phagemid display and colony screening techniques, several lipocalin variants--termed anticalins--have been selected from this library, exhibiting binding activity for compounds like fluorescein or digoxigenin. Anticalins possess high affinity and specificity for their prescribed ligands as well as fast binding kinetics, so that their functional properties are similar to those of antibodies. Compared with them, they exhibit however several advantages, including a smaller size, composition of a single polypeptide chain, and a simple set of four hypervariable loops that can be easily manipulated at the genetic level. Apart from haptenic compounds as targets, anticalins should also be able to recognise macromolecular antigens, provided that the random library is accordingly designed. Hence, they should not only serve as valuable reagents for bioanalytical purposes, but may also have a potential in replacing antibodies for medical therapy.     

A designed glycopeptide array for characterization of sugar-binding proteins toward a glycopeptide chip technology

For the realization of a practical high-throughput protein detection and analysis system, a novel peptide array has been constructed using a designed glycopeptide model library with an α-helical secondary structure. This study will contribute the increment of the diversity of such an array system and the application to focused proteomics and ligand screening by effective detection of sugar-binding proteins. Fluorescent glycopeptides with an α-helix, a β-strand, or a loop structure were designed initially to select a suitable scaffold for the detection of a model protein. After selection of the α-helical structure as the best scaffold, a small model library with various saccharides was constructed to have charge and hydrophobicity variations in the peptide sequences. When various sugar-binding proteins were added to the peptide library array, the fluorescent peptides showed different responses in fluorescence intensities depending on their sequences as well as saccharides. The patterns of these responses could be regarded as “protein fingerprints” (PFPs), which are able to establish the identities of the target proteins. The resulting PFPs reflected the recognition properties of the proteins. Furthermore, statistical data analysis from obtained PFPs was performed using a cluster analysis. The PFPs of sugar-binding proteins were clustered successfully depending on their families and binding properties. These studies demonstrate that arrays with glycopeptide libraries based on designed structures can be promising tools to detect and analyze the target proteins. Designed peptides with functional groups such as sugars will play roles as the capturing agents of high-throughput protein nano/micro arrays for focused proteomics and ligand screening studies.     

Hit identification of novel heparanase inhibitors by structure- and ligand-based approaches

Heparanase is a key enzyme involved in the dissemination of metastatic cancer cells. In this study a combination of in silico techniques and experimental methods was used to identify new potential inhibitors against this target. A 3D model of heparanase was built from sequence homology and applied to the virtual screening of a library composed of 27 known heparanase inhibitors and a commercial collection of drugs and drug-like compounds. The docking results from this campaign were combined with those obtained from a pharmacophore model recently published based in the same set of chemicals. Compounds were then ranked according to their theoretical binding affinity, and the top-rated commercial drugs were selected for further experimental evaluation.Biophysical methods (NMR and SPR) were applied to assess experimentally the interaction of the selected compounds with heparanase. The binding site was evaluated via competition experiments, using a known inhibitor of heparanase. Three of the selected drugs were found to bind to the active site of the protein and their K_D values were determined. Among them, the antimalarial drug amodiaquine presented affinity towards the protein in the low-micromolar range, and was singled out for a SAR study based on its chemical scaffold. A subset of fourteen 4-arylaminoquinolines from a global set of 249 analogues of amodiaquine was selected based on the application of in silico models, a QSAR solubility prediction model and a chemical diversity analysis. Some of these compounds displayed binding affinities in the micromolar range.     

Use of a fluorescent polarization based high throughput assay to identify new calmodulin ligands

In order to develop a fluorescence polarization (FP) assay for calcium binding proteins, a fluorescent peptides based library of 1328 compounds has been synthesized. The use of this library has been validated by setting up a FP-high-throughput screening (FP-HTS) assay for calmodulin using the synthetic gene product (synCaM). With this assay, a set of 880 FDA approved compounds was screened. Besides the promazine class, we discovered two new classes of compounds that interact with calmodulin in a calcium dependent manner. One class has compounds with anti-histaminic/spasmolytic activities, and the other one are detergents with antibacterial activities.     

Identification of SQ609 as a lead compound from a library of dipiperidines

We recently reported that compounds created around a dipiperidine scaffold demonstrated activity against Mycobacterium tuberculosis (Mtb) (Bogatcheva, E.; Hanrahan, C.; Chen, P.; Gearhart, J.; Sacksteder, K.; Einck, L.; Nacy, C.; Protopopova, M. Bioorg. Med. Chem. Lett.2010, 20, 201). To optimize the dipiperidine compound series and to select a lead compound to advance into preclinical studies, we evaluated the structure-activity relationship (SAR) of our proprietary libraries. The (piperidin-4-ylmethyl)piperidine scaffold was an essential structural element required for antibacterial activity. Based on SAR, we synthesized a focused library of 313 new dipiperidines to delineate additional structural features responsible for antitubercular activity. Thirty new active compounds with MIC 10-20 μg/ml on Mtb were identified, but none was better than the original hits of this series, SQ609, SQ614, and SQ615. In Mtb-infected macrophages in vitro, SQ609 and SQ614 inhibited more than 90% of intracellular bacterial growth at 4 μg/ml; SQ615 was toxic to these cells. In mice infected with Mtb, weight loss was completely prevented by SQ609, but not SQ614, and SQ609 had a prolonged therapeutic effect, extended by 10-15 days, after cessation of therapy. Based on in vitro and in vivo antitubercular activity, SQ609 was identified as the best-in-class dipiperidine compound in the series.     

Rational design,synthesis, and verification of affinity ligands to a protein surface cleft

The structure-based design, synthesis, and screening of a glucuronic acid scaffold library of affinity ligands directed toward the catalytic cleft on porcine pancreas alpha-amylase are presented. The design was based on the simulated docking to the enzyme active site of 53 aryl glycosides from the Available Chemicals Directory (ACD) selected by in silico screening. Twenty-three compounds were selected for synthesis and screened in solution for binding toward alpha-amylase using nuclear magnetic resonance techniques. The designed molecules include a handle outside of the binding site to allow their attachment to various surfaces with minimal loss of binding activity. After initial screening in solution, one affinity ligand was selected, immobilized to Sepharose (Amersham Biosciences), and evaluated as a chromatographic probe. A column packed with ligand-coupled Sepharose specifically retained the enzyme, which could be eluted by a known inhibitor.     

Design, docking, and evaluation of multiple libraries against multiple targets

We present a general approach to the design, docking, and virtual screening of multiple combinatorial libraries against a family of proteins. The method consists of three main stages: docking the scaffold, selecting the best substituents at each site of diversity, and comparing the resultant molecules within and between the libraries. The core "divide-and-conquer" algorithm for side-chain selection, developed from an earlier version (Sun et al., J Comp Aided Mol Design 1998;12:597-604), provides a way to explore large lists of substituents with linear rather than combinatorial time dependence. We have applied our method to three combinatorial libraries and three serine proteases: trypsin, chymotrypsin, and elastase. We show that the scaffold docking procedure, in conjunction with a novel vector-based orientation filter, reproduces crystallographic binding modes. In addition, the free-energy-based scoring procedure (Zou et al., J Am Chem Soc 1999;121:8033-8043) is able to reproduce experimental binding data for P1 mutants of macromolecular protease inhibitors. Finally, we show that our method discriminates between a peptide library and virtual libraries built on benzodiazepine and tetrahydroisoquinolinone scaffolds. Implications of the docking results for library design are explored.     

Capturing Nature's Diversity

Natural products are universally recognized to contribute valuable chemical diversity to the design of molecular screening libraries. The analysis undertaken in this work, provides a foundation for the generation of fragment screening libraries that capture the diverse range of molecular recognition building blocks embedded within natural products. Physicochemical properties were used to select fragment-sized natural products from a database of known natural products (Dictionary of Natural Products). PCA analysis was used to illustrate the positioning of the fragment subset within the property space of the non-fragment sized natural products in the dataset. Structural diversity was analysed by three distinct methods: atom function analysis, using pharmacophore fingerprints, atom type analysis, using radial fingerprints, and scaffold analysis. Small pharmacophore triplets, representing the range of chemical features present in natural products that are capable of engaging in molecular interactions with small, contiguous areas of protein binding surfaces, were analysed. We demonstrate that fragment-sized natural products capture more than half of the small pharmacophore triplet diversity observed in non fragment-sized natural product datasets. Atom type analysis using radial fingerprints was represented by a self-organizing map. We examined the structural diversity of non-flat fragment-sized natural product scaffolds, rich in sp3 configured centres. From these results we demonstrate that 2-ring fragment-sized natural products effectively balance the opposing characteristics of minimal complexity and broad structural diversity when compared to the larger, more complex fragment-like natural products. These naturally-derived fragments could be used as the starting point for the generation of a highly diverse library with the scope for further medicinal chemistry elaboration due to their minimal structural complexity. This study highlights the possibility to capture a high proportion of the individual molecular interaction motifs embedded within natural products using a fragment screening library spanning 422 structural clusters and comprised of approximately 2800 natural products.     

Discovery of Novel New Delhi Metallo-β-Lactamases-1 Inhibitors by Multistep Virtual Screening

The emergence of NDM-1 containing multi-antibiotic resistant "Superbugs" necessitates the needs of developing of novel NDM-1inhibitors. In this study, we report the discovery of novel NDM-1 inhibitors by multi-step virtual screening. From a 2,800,000 virtual drug-like compound library selected from the ZINC database, we generated a focused NDM-1 inhibitor library containing 298 compounds of which 44 chemical compounds were purchased and evaluated experimentally for their ability to inhibit NDM-1 in vitro. Three novel NDM-1 inhibitors with micromolar IC₅₀ values were validated. The most potent inhibitor, VNI-41, inhibited NDM-1 with an IC₅₀ of 29.6 ± 1.3 μM. Molecular dynamic simulation revealed that VNI-41 interacted extensively with the active site. In particular, the sulfonamide group of VNI-41 interacts directly with the metal ion Zn1 that is critical for the catalysis. These results demonstrate the feasibility of applying virtual screening methodologies in identifying novel inhibitors for NDM-1, a metallo-β-lactamase with a malleable active site and provide a mechanism base for rational design of NDM-1 inhibitors using sulfonamide as a functional scaffold.     

Identification of a new chromophoric substrate in the library of amino acid p-nitroanilides for continuous assay of VanX, a D,D-dipeptidase essential for vancomycin resistance

As one of key bacterial proteins involved in vancomycin resistance, VanX is a D,D-dipeptidase that impedes bacterial cell wall biosynthesis by hydrolyzing the essential D-Ala-D-Ala dipeptide. Based on a report by Crowder and co-workers that L-alanine-p-nitroanilide (L-Ala-pNA) was a useful substrate for continuous assay of VanX, we constructed a library of 35 L- and D-amino acid p-nitroanilides to provide the needed diversity to discover new substrates that are more specific than L-Ala-pNA. We report here that, among all compounds tested, D-leucine-p-nitroanilide (D-Leu-pNA) was found to be the best substrate for VanX enzyme (KM=8.9+/-1.2 mM, kcat=0.0102+/-0.0016 s(-1), kcat/KM=0.0012 mM(-1)s(-1)). Although it is catalytically inefficient, this new VanX substrate needs essentially no sophisticated synthetic chemistry for preparation and therefore offers a convenient means for routine analysis of enzyme catalysis and the screening of potential inhibitors. Moreover, because it is the uncommon leucine in its D form in D-Leu-pNA, enzymatic activities due to other contaminated species in Escherichia coli used for VanX overproduction should be greatly reduced.     

Discovery of naphthacemycins as a novel class of PARP1 inhibitors

Poly (ADP-ribose) polymerase-1 (PARP-1) is an abundant nuclear protein that plays important roles in a variety of nuclear processes, and it has been proved a prominent target in oncology for its key function in DNA damage repair. In this study, we discovered a series of naphthacemycins as a new class of PARP1 inhibitors from a microbial metabolites library via high-throughput screening. Compound I, one of this series of compounds, could reduce cellular poly (ADP-ribose) level, trap PARP1 on the damaged DNA and elevate the level of γ-H2AX, and showed the selective cytotoxicity against BRCA1-deficient cell line. Our study provided a potential scaffold for the development of new PARP1 inhibitors in cancer therapy.