Lead-like Compounds Research Articles

The Malaria Box: a catalyst for drug discovery

The discovery of new chemotypes to feed the pipeline of antimalarial drugs remains a constant challenge, particularly in light of emerging resistance to current therapies. Recently, phenotypic screenings have been successfully used for antimalarial hit generation where the biological target(s) may often not be clearly identified. To catalyse malaria research by both filling the pipeline and having a better understanding of ligand-target relationships, a unique screening tool has been elaborated: the Malaria Box. The Malaria Box is a set composed of 400 commercially available chemical entities derived from a selection of more than 20,000 hits from the screening of corporate and academic libraries [1-3]. The originality of the Malaria Box relies in its composition of 200 lead-like and 200 probe-like compounds that have confirmed activity on blood-staged Plasmodium falciparum and that have been assessed for cytotoxicity. Lead-like compounds commensurate with oral absorption and the presence of known toxicophores has been reviewed. Conversely probe-like compounds are intended to represent the broadest cross-section of structural diversity. Significantly, the scope of the Malaria Box goes beyond the Malaria field as active compounds may have utility in other parasitic or neglected diseases. It is well-documented that artemisinin was initially discovered from helminth research and is currently a gold standard drug against Malaria. Also, the presence of orthologues of various molecular targets may lead to new therapeutic applications in orphan diseases or for example oncology. Ultimately, the data collection resulting from the Malaria Box would enable the community to better understand similarities and differences between parasite diseases or orphan diseases by mining data sets that were previously considered separately [4]. Herein we disclose the selection process applied to assemble the Malaria Box as well a preliminary results.

An Efficient High-Throughput Screening Method for MYST Family Acetyltransferases, a New Class of Epigenetic Drug Targets

Epigenetic aberrations are increasingly regarded as key factors in cancer progression. Recently, deregulation of histone acetyltransferases (HATs) has been linked to several types of cancer. Monocytic leukemia zinc finger protein (MOZ) is a member of the MYST family of HATs, which regulate gene expression in cell proliferation and differentiation. Deregulation of these processes through constitutively active MOZ fusion proteins gives rise to the formation of leukemic stem cells, rendering MOZ an excellent target for treating myeloid leukemia. The authors implemented a hit discovery campaign to identify small-molecule inhibitors of MOZ-HAT activity. They developed a robust, homogeneous assay measuring the acetylation of synthetic histone peptides. In a primary screening campaign testing 243 000 lead-like compounds, they identified inhibitors from several chemical classes. Secondary assays were used to eliminate assay-interfering compounds and prioritize confirmed hits. This study establishes a new high-throughput assay for HAT activity and could provide the foundation for the development of a new class of drugs for the treatment of leukemias.

In silico identification of new ligands for GPR17: a promising therapeutic target for neurodegenerative diseases

GPR17, a previously orphan receptor responding to both uracil nucleotides and cysteinyl-leukotrienes, has been proposed as a novel promising target for human neurodegenerative diseases. Here, in order to specifically identify novel potent ligands of GPR17, we first modeled in silico the receptor by using a multiple template approach, in which extracellular loops of the receptor, quite complex to treat, were modeled making reference to the most similar parts of all the class-A GPCRs crystallized so far. A high-throughput virtual screening exploration of GPR17 binding site with more than 130,000 lead-like compounds was then applied, followed by the wet functional and pharmacological validation of the top-scoring chemical structures. This approach revealed successful for the proposed aim, and allowed us to identify five agonists or partial agonists with very diverse chemical structure. None of these compounds could have been expected 'a priori' to act on a GPCR, and all of them behaved as much more potent ligands than GPR17 endogenous activators.

Discovery and Hit-to-Lead Optimization of Non-ATP Competitive MK2 (MAPKAPK2) Inhibitors

A novel series of non-ATP-competitive MK2 inhibitors based on a furan-2-carboxyamide scaffold was discovered through high-throughput screening using the affinity selection-mass spectrometry-based Automated Ligand Identification System platform. Medicinal chemistry efforts optimized the initial screening hit to leadlike compounds with significant improvements in biochemical and cellular potencies, while maintaining excellent kinase selectivity and in vitro pharmacokinetic properties. Biophysical and biochemical studies confirmed the unique non-ATP-competitive binding mode of this series and suggested that highly selective inhibitors of MK2 should be feasible by targeting the outside ATP pocket.

Optimization of a pyrazole hit from FBDD into a novel series of indazoles as ketohexokinase inhibitors

A series of indazoles have been discovered as KHK inhibitors from a pyrazole hit identified through fragment-based drug discovery (FBDD). The optimization process guided by both X-ray crystallography and solution activity resulted in lead-like compounds with good pharmaceutical properties.

A Practical Use of Ligand Efficiency Indices Out of the Fragment-Based Approach: Ligand Efficiency-Guided Lead Identification of Soluble Epoxide Hydrolase Inhibitors

Ligand efficiency is frequently used to evaluate fragment compounds in fragment-based drug discovery. We applied ligand efficiency indices in a conventional virtual screening-initiated lead generation study of soluble epoxide hydrolase inhibitors. From a considerable number of screening hits, we carefully selected a compound exhibiting relatively weak inhibitory activity but high ligand efficiency. This ligand efficiency-guided selection could reveal compounds possessing preferable lead-like characteristics in terms of molecular size and lipophilicity. The following hit-to-lead medicinal chemistry campaign successfully led to a more potent, ADMET-clean, lead-like compound preserving high ligand efficiency. Retrospective analyses, including consideration of the more recently proposed indices of ligand efficiency, shed light on the validity of our hit triage and hit-to-lead studies. The present work proposes a practical methodology for lead generation using the concept of ligand efficiency.

Electron Density Guided Fragment-Based Lead Discovery of Ketohexokinase Inhibitors

A fragment-based drug design paradigm has been successfully applied in the discovery of lead series of ketohexokinase inhibitors. The paradigm consists of three iterations of design, synthesis, and X-ray crystallographic screening to progress low molecular weight fragments to leadlike compounds. Applying electron density of fragments within the protein binding site as defined by X-ray crystallography, one can generate target specific leads without the use of affinity data. Our approach contrasts with most fragment-based drug design methodology where solution activity is a main design guide. Herein we describe the discovery of submicromolar ketohexokinase inhibitors with promising druglike properties.

Inhibitors of Leishmania GDP-Mannose Pyrophosphorylase Identified by High-Throughput Screening of Small-Molecule Chemical Library

The current treatment for leishmaniasis is based on chemotherapy, which relies on a handful of drugs with serious limitations, such as high cost, toxicity, and a lack of efficacy in regions of endemicity. Therefore, the development of new, effective, and affordable antileishmanial drugs is a global health priority. Leishmania synthesizes a range of mannose-rich glycoconjugates that are essential for parasite virulence and survival. A prerequisite for glycoconjugate biosynthesis is the conversion of monosaccharides to the activated mannose donor, GDP-mannose, the product of a reaction catalyzed by GDP-mannose pyrophosphorylase (GDP-MP). The deletion of the gene encoding GDP-MP in Leishmania led to a total loss of virulence, indicating that the enzyme is an ideal drug target. We developed a phosphate sensor-based high-throughput screening assay to quantify the activity of GDP-MP and screened a library containing approximately 80,000 lead-like compounds for GDP-MP inhibitors. On the basis of their GDP-MP inhibitory properties and chemical structures, the activities of 20 compounds which were not toxic to mammalian cells were tested against ex vivo amastigotes and in macrophage amastigote assays. The most potent compound identified in the primary screen (compound 3), a quinoline derivative, demonstrated dose-dependent activity in both assays (50% inhibitory concentration = 21.9 microM in the macrophage assay) and was shown to be nontoxic to human fibroblasts. In order to elucidate signs of an early structure-activity relationship (SAR) for this class of compounds, we obtained and tested analogues of compound 3 and undertook limited medicinal chemistry optimization, which included the use of a number of SAR probes of the piperazinyl aryl substituent of compound 3. We have identified novel candidate compounds for the design and synthesis of antileishmanial therapeutics.

Novel and selective DNA methyltransferase inhibitors: Docking-based virtual screening and experimental evaluation

The DNA methyltransferase (DNMT) enzyme family consists of four members with diverse functions and represents one of the most promising targets for the development of novel anticancer drugs. However, the standard drugs for DNMT inhibition are non-selective cytosine analogues with considerable cytotoxic side-effects that have been developed several decades ago. In this work, we conducted a virtual screening of more than 65,000 lead-like compounds selected from the National Cancer Institute collection using a multistep docking approach with a previously validated homology model of the catalytic domain of human DNMT1. Experimental evaluation of top-ranked molecules led to the discovery of novel small molecule DNMT1 inhibitors. Virtual screening hits were further evaluated for DNMT3B inhibition revealing several compounds with selectivity towards DNMT1. These are the first small molecules reported with biochemical selectivity towards an individual DNMT enzyme capable of binding in the same pocket as the native substrate cytosine, and are promising candidates for further rational optimization and development as anticancer drugs. The availability of enzyme-selective inhibitors will also be of great significance for understanding the role of individual DNMT enzymes in epigenetic regulation.

Structure-based virtual screening for novel inhibitors of Japanese encephalitis virus NS3 helicase/nucleoside triphosphatase

Japanese encephalitis (JE) is a significant cause of human morbidity and mortality throughout Asia and Africa. Vaccines have reduced the incidence of JE in some countries, but no specific antiviral therapy is currently available. The NS3 protein of Japanese encephalitis virus (JEV) is a multifunctional protein combining protease, helicase and nucleoside 5′‐triphosphatase (NTPase) activities. The crystal structure of the catalytic domain of this protein has recently been solved using a roentgenographic method. This enabled structure‐based virtual screening for novel inhibitors of JEV NS3 helicase/NTPase. The aim of the present research was to identify novel potent medicinal substances for the treatment of JE. In the first step of studies, the natural ligand ATP and two known JEV NS3 helicase/NTPase inhibitors were docked to their molecular target. The refined structure of the enzyme was used to construct a pharmacophore model for JEV NS3 helicase/NTPase inhibitors. The freely available ZINC database of lead‐like compounds was then screened for novel inhibitors. About 1 161 000 compounds have been screened and 15 derivatives of the highest scores have been selected. These compounds were docked to the JEV NS3 helicase/NTPase to examine their binding mode and verify screening results by consensus scoring procedure.

A Practical Method for Targeted Library Design Balancing Lead‐like Properties with Diversity

A practical and pragmatic method is demonstrated that aligns lead-like properties with compound diversity for the picking of compounds to synthesise from large virtual libraries. Methods are highlighted for decreasing synthetic attrition through the prior filtration of reagents sets grouped by reaction type. Also disclosed are protocols that use a combination of predicted physicochemical parameters and potential toxicological liabilities to enable the synthesis of lead-like compounds with a low potential risk of exhibiting toxicity or undesirable physicochemical properties. Lastly, a compound-picking process for a 2D compound matrix is demonstrated that maximises the diversity coverage whilst minimising synthetic effort. Thus a very highly optimised process is shown that delivers premium sample quality where lead-likeness and novelty are aligned to afford the best possible enhancement for the corporate compound collection.

Trypanothione Reductase High-Throughput Screening Campaign Identifies Novel Classes of Inhibitors with Antiparasitic Activity

High-throughput screening of 100,000 lead-like compounds led to the identification of nine novel chemical classes of trypanothione reductase (TR) inhibitors worthy of further investigation. Hits from five of these chemical classes have been developed further through different combinations of preliminary structure-activity relationship rate probing and assessment of antiparasitic activity, cytotoxicity, and chemical and in vitro metabolic properties. This has led to the identification of novel TR inhibitor chemotypes that are drug-like and display antiparasitic activity. For one class, a series of analogues have displayed a correlation between TR inhibition and antiparasitic activity. This paper explores the process of identifying, investigating, and evaluating a series of hits from a high-throughput screening campaign.

Virtual Screening and Experimental Verification to Identify Potential Inhibitors of the ErmC Methyltransferase Responsible for Bacterial Resistance against Macrolide Antibiotics

Methyltransferases from the Erm family catalyze S-adenosyl-L-methionine-dependent modification of a specific adenine residue in bacterial 23S rRNA, thereby conferring resistance to clinically important macrolide, lincosamide, and streptogramin B antibiotics. Thus far, no inhibitors of these enzymes have been identified or designed that would effectively abolish the resistance in vivo. We used the crystal structure of ErmC' methyltransferase as a target for structure-based virtual screening of a database composed of 58,679 lead-like compounds. Among 77 compounds selected for experimental validation (63 predicted to bind to the catalytic pocket and 14 compounds predicted to bind to the putative RNA binding site), we found several novel inhibitors that decrease the minimal inhibitory concentration of a macrolide antibiotic erythromycin toward an Escherichia coli strain that constitutively expresses ErmC'. Eight of them have IC(50) values in the micromolar range. Analysis of docking models of the identified inhibitors suggests a novel strategy to develop potent and clinically useful inhibitors.

Lessons Learnt from Assembling Screening Libraries for Drug Discovery for Neglected Diseases

To enable the establishment of a drug discovery operation for neglected diseases, out of 2.3 million commercially available compounds 222 552 compounds were selected for an in silico library, 57 438 for a diverse general screening library, and 1 697 compounds for a focused kinase set. Compiling these libraries required a robust strategy for compound selection. Rules for unwanted groups were defined and selection criteria to enrich for lead-like compounds which facilitate straightforward structure–activity relationship exploration were established. Further, a literature and patent review was undertaken to extract key recognition elements of kinase inhibitors (“core fragments”) to assemble a focused library for hit discovery for kinases. Computational and experimental characterisation of the general screening library revealed that the selected compounds 1) span a broad range of lead-like space, 2) show a high degree of structural integrity and purity, and 3) demonstrate appropriate solubility for the purposes of biochemical screening. The implications of this study for compound selection, especially in an academic environment with limited resources, are considered.

Virtual Exploration of the Chemical Universe up to 11 Atoms of C, N, O, F: Assembly of 26.4 Million Structures (110.9 Million Stereoisomers) and Analysis for New Ring Systems, Stereochemistry, Physicochemical Properties, Compound Classes, and Drug Discovery

All molecules of up to 11 atoms of C, N, O, and F possible under consideration of simple valency, chemical stability, and synthetic feasibility rules were generated and collected in a database (GDB). GDB contains 26.4 million molecules (110.9 million stereoisomers), including three- and four-membered rings and triple bonds. By comparison, only 63 857 compounds of up to 11 atoms were found in public databases (a combination of PubChem, ChemACX, ChemSCX, NCI open database, and the Merck Index). A total of 538 of the 1208 ring systems in GDB are currently unknown in the CAS Registry and Beilstein databases in any carbon/heteroatom/multiple-bond combination or as a substructure. Over 70% of GDB molecules are chiral. Because of their small size, all compounds obey Lipinski's bioavailability rule. A total of 13.2 million compounds also follow Congreve's "Rule of 3" for lead-likeness. A Kohonen map trained with autocorrelation descriptors organizes GDB according to compound classes and shows that leadlike compounds are most abundant in chiral regions of fused carbocycles and fused heterocycles. The projection of known compounds into this map indicates large uncharted areas of chemical space. The potential of GDB for drug discovery is illustrated by virtual screening for kinase inhibitors, G-protein coupled receptor ligands, and ion-channel modulators. The database is available from the author's Web page.

Discovery of 2-iminobenzimidazoles as a new class of trypanothione reductase inhibitor by high-throughput screening

A high-throughput screening campaign of a library of 100,000 lead-like compounds identified 2-iminobenzimidazoles as a novel class of trypanothione reductase inhibitors. These 2-iminobenzimidazoles display potent trypanocidal activity against Trypanosoma brucei rhodesiense, do not inhibit closely related human glutathione reductase and have low cytotoxicity against mammalian cells.

Evaluating Chemical Structure Similarity as an Indicator of Cellular Growth Inhibition

Chemical variations of small compounds are commonly used to probe biological systems and potentially discover lead-like compounds with selective target activity. Molecular probes are either generated by synthesis or acquired through directed searches of commercially available compound libraries. The data generated when testing the probes in various biological systems constitutes a structure/activity analysis. The ability to detect variations and classify biological responses requires the analysis of a compound in multiple assays. While the concept of a structure/activity relationship is straightforward, its implementation can vary considerably depending on the biological system under study and the probe library selected for testing. The analysis presented here will focus on the accumulated compound library used to screen for growth inhibition across the National Cancer Institute's panel of 60 tumor cells. The considerable chemical and biological diversity inherent in these data offers an opportunity to establish a quantifiable connection between chemical structure and biological activity. We find that the connection between structure and biological response is not symmetric, with biological response better at predicting chemical structure than vice versa. Structurally and functionally similar compounds can have distinguishable biological responses reflecting different mechanisms of action.

A linear discrimination analysis based virtual screening of trichomonacidal lead-like compounds: Outcomes of in silico studies supported by experimental results

A computational (virtual) screening test to identify potential trichomonacidals has been developed. Molecular structures of trichomonacidal and non-trichomonacidal drugs were represented using stochastic and non-stochastic atom-based quadratic indices and a linear discrimination analysis (LDA) was trained to classify molecules regarding their antiprotozoan activity. Validation tests revealed that our LDA-QSAR models recognize at least 88.24% of trichomonacidal lead-like compounds and suggest using this methodology in virtual screening protocols. These classification functions were then applied to find new lead antitrichomonal compounds. In this connection, the biological assays of eight compounds, selected by computational screening using the present models, give good results (87.50% of good classification). In general, most of the compounds showed high activity against Trichomonas vaginalis at the concentration of 100 μg/ml and low cytotoxicity to this concentration. In particular, two heterocyclic derivatives (VA7-67 and VA7-69) maintained their efficacy at 10 μg/ml with an important trichomonacidal activity (100.00% of reduction), but it is remarkable that the compound VA7-67 did not show cytotoxic effects in macrophage cultivations. This result opens a door to a virtual study considering a higher variability of the structural core already evaluated, as well as of other chemicals not included in this study.

New Strategies for the Solid‐Phase Synthesis of Highly Functionalized, Small Molecules: Sequential Nucleophilic Substitutions on Polymer‐Bound Polyelectrophiles

AbstractFor Abstract see ChemInform Abstract in Full Text.

New Strategies for the Solid-Phase Synthesis of Highly Functionalized, Small Molecules: Sequential Nucleophilic Substitutions on Polymer-Bound Polyelectrophiles

Publisher Summary The screening of large and diverse arrays of compounds prepared on insoluble supports is one of the most efficient approaches for fast identification of lead compounds for novel, small molecule enzyme inhibitors, or other ligands for proteins. Parallel solid-phase synthesis is particularly well suited for the preparation of such arrays of diverse compounds, since multistep synthetic sequences on insoluble supports can be conducted on fully automated synthesizers. The advantages of using nucleophilic reagents for library production can be exploited by performing sequential nucleophilic substitutions on a polymer-bound polyelectrophile. A suitable polyelectrophile would be a polymer-bound compound with two or more leaving groups that could be orthogonally displaced by different nucleophiles. The sequential nucleophilic substitutions on support-bound polyelectrophiles gives quick access to highly functionalized, pharmacophore-rich small molecules. Because no protective groups are required, the scope of these syntheses is broad and a multitude of different pharmacophoric patterns can be generated by using exclusively simple, commercially available reagents. The use of 2,3-dichloropropionic acid and 4,5-difluoro-2-nitrobenzoic acid is discussed in the chapter to illustrate the scope and limitations of this strategy for the preparation of lead-like compound arrays.