Discovery of Selective Cannabinoid CB2 Receptor Agonists by High-Throughput Screening.

The endocannabinoid system (ECS) plays a diverse role in human physiology ranging from the regulation of mood and appetite to immune modulation and the response to pain. Drug development that targets the cannabinoid receptors (CB1 and CB2) has been explored; however, success in the clinic has been limited by the psychoactive side effects associated with modulation of the neuronally expressed CB1 that are enriched in the CNS. CB2, however, are expressed in peripheral tissues, primarily in immune cells, and thus development of CB2-selective drugs holds the potential to modulate pain among other indications without eliciting anxiety and other undesirable side effects associated with CB1 activation. As part of a collaborative effort among industry and academic laboratories, we performed a high-throughput screen designed to discover selective agonists or positive allosteric modulators (PAMs) of CB2. Although no CB2 PAMs were identified, 167 CB2 agonists were discovered here, and further characterization of four select compounds revealed two with high selectivity for CB2 versus CB1. These results broaden drug discovery efforts aimed at the ECS and may lead to the development of novel therapies for immune modulation and pain management with improved side effect profiles.

Challenges and Opportunities in Enabling High-Throughput, Miniaturized High Content Screening.

Within the Drug Discovery industry, there is a growing recognition of the value of high content screening (HCS), particularly as researchers aim to screen compounds and identify hits using more physiologically relevant in vitro cell-based assays. Image-based high content screening, with its combined ability to yield multiparametric data, provide subcellular resolution, and enable cell population analysis, is well suited to this challenge. While HCS has been in routine use for over a decade, a number of hurdles have historically prohibited very large, miniaturized high-throughput screening efforts with this platform. Suitable hardware and consumables for conducting 1536-well HCS have only recently become available, and developing a reliable informatics framework to accommodate the scale of high-throughput HCS data remains a considerable challenge. Additionally, innovative approaches are needed to interpret the large volumes of content-rich information generated. Despite these hurdles, there has been a growing interest in screening large compound inventories using this platform. Here, we outline the infrastructure developed and applied at Bristol-Myers Squibb for 1536-well high content screening and discuss key lessons learned.

Synergistic inhibition of Aß production by combinations of γ-secretase modulators.

Alzheimer's disease is associated with the accumulation of amyloid-ß (Aß) in the brain. In particular, the 42-amino acid form, Aß1-42, is thought to play a key role in the disease. It is therefore of interest that diverse compounds, known as γ-secretase modulators (GSM), can selectively decrease Aß1-42 production without inhibiting the production of other forms of Aß. Here we describe the novel discovery of synergistic inhibition of Aß by certain combinations of GSMs. Cell cultures were treated with pairwise combinations of GSMs to determine how Aß peptide production was affected. Analysis of isobolograms and calculation of the combination index showed that BMS-869780 and GSM-2 were highly synergistic. Additional combinations of GSMs revealed that inhibition of Aß occurred only when one GSM was of the "acid GSM" structural class and the other was of the "non-acid GSM" class. A total of 15 representative acid/non-acid GSM combinations were shown to inhibit Aß production, whereas 10 pairwise combinations containing two acid GSMs or containing two non-acid GSMs did not inhibit Aß. We also discovered that lasalocid, a natural product, is a potent GSM. Lasalocid is unique in that it did not synergize with other GSMs. Synergism did not translate in vivo perhaps because of biochemical differences between the cell culture model and brain. These findings reinforce the pharmacological differences between different structural classes of GSMs, and may help to exploit the potential of γ-secretase as a drug target.

Evidence for Classical Cholinergic Toxicity Associated with Selective Activation of M1 Muscarinic Receptors.

The muscarinic acetylcholine receptor subtype 1 (M1) receptors play an important role in cognition and memory, and are considered to be attractive targets for the development of novel medications to treat cognitive impairments seen in schizophrenia and Alzheimer's disease. Indeed, the M1 agonist xanomeline has been shown to produce beneficial cognitive effects in both Alzheimer's disease and schizophrenia patients. Unfortunately, the therapeutic utility of xanomeline was limited by cholinergic side effects (sweating, salivation, gastrointestinal distress), which are believed to result from nonselective activation of other muscarinic receptor subtypes such as M2 and M3. Therefore, drug discovery efforts targeting the M1 receptor have focused on the discovery of compounds with improved selectivity profiles. Recently, allosteric M1 receptor ligands have been described, which exhibit excellent selectivity for M1 over other muscarinic receptor subtypes. In the current study, the following three compounds with mixed agonist/positive allosteric modulator activities that are highly functionally selective for the M1 receptor were tested in rats, dogs, and cynomologous monkeys: (3-((1S,2S)-2-hydrocyclohexyl)-6-((6-(1-methyl-1H-pyrazol-4-yl)pyridin-3-yl)methyl)benzo[h]quinazolin-4(3H)-one; 1-((4-cyano-4-(pyridin-2-yl)piperidin-1-yl)methyl)-4-oxo-4H-quinolizine-3-carboxylic acid; and (R)-ethyl 3-(2-methylbenzamido)-[1,4'-bipiperidine]-1'-carboxylate). Despite their selectivity for the M1 receptor, all three compounds elicited cholinergic side effects such as salivation, diarrhea, and emesis. These effects could not be explained by activity at other muscarinic receptor subtypes, or by activity at other receptors tested. Together, these results suggest that activation of M1 receptors alone is sufficient to produce unwanted cholinergic side effects such as those seen with xanomeline. This has important implications for the development of M1 receptor-targeted therapeutics since it suggests that dose-limiting cholinergic side effects still reside in M1 receptor selective activators.

Discovery, synthesis, and molecular pharmacology of selective positive allosteric modulators of the δ-opioid receptor.

Allosteric modulators of G protein-coupled receptors (GPCRs) have a number of potential advantages compared to agonists or antagonists that bind to the orthosteric site of the receptor. These include the potential for receptor selectivity, maintenance of the temporal and spatial fidelity of signaling in vivo, the ceiling effect of the allosteric cooperativity which may prevent overdose issues, and engendering bias by differentially modulating distinct signaling pathways. Here we describe the discovery, synthesis, and molecular pharmacology of δ-opioid receptor-selective positive allosteric modulators (δ PAMs). These δ PAMs increase the affinity and/or efficacy of the orthosteric agonists leu-enkephalin, SNC80 and TAN67, as measured by receptor binding, G protein activation, ß-arrestin recruitment, adenylyl cyclase inhibition, and extracellular signal-regulated kinases (ERK) activation. As such, these compounds are useful pharmacological tools to probe the molecular pharmacology of the δ receptor and to explore the therapeutic potential of δ PAMs in diseases such as chronic pain and depression.

Identification of selective agonists and positive allosteric modulators for µ- and δ-opioid receptors from a single high-throughput screen.

Hetero-oligomeric complexes of G protein-coupled receptors (GPCRs) may represent novel therapeutic targets exhibiting different pharmacology and tissue- or cell-specific site of action compared with receptor monomers or homo-oligomers. An ideal tool for validating this concept pharmacologically would be a hetero-oligomer selective ligand. We set out to develop and execute a 1536-well high-throughput screen of over 1 million compounds to detect potential hetero-oligomer selective ligands using a ß-arrestin recruitment assay in U2OS cells coexpressing recombinant µ- and δ-opioid receptors. Hetero-oligomer selective ligands may bind to orthosteric or allosteric sites, and we might anticipate that the formation of hetero-oligomers may provide novel allosteric binding pockets for ligand binding. Therefore, our goal was to execute the screen in such a way as to identify positive allosteric modulators (PAMs) as well as agonists for µ, δ, and hetero-oligomeric receptors. While no hetero-oligomer selective ligands were identified (based on our selection criteria), this single screen did identify numerous µ- and δ-selective agonists and PAMs as well as nonselective agonists and PAMs. To our knowledge, these are the first µ- and δ-opioid receptor PAMs described in the literature.

Integrating High-Content Analysis into a Multiplexed Screening Approach to Identify and Characterize GPCR Agonists.

G protein-coupled receptors (GPCRs) are one of the most popular and proven target classes for therapeutic intervention. The increased appreciation for allosteric modulation, receptor oligomerization, and biased agonism has led to the development of new assay platforms that seek to capitalize on these aspects of GPCR biology. High-content screening is particularly well suited for GPCR drug discovery given the ability to image and quantify changes in multiple cellular parameters, to resolve subcellular structures, and to monitor events within a physiologically relevant environment. Focusing on the sphingosine-1-phosphate (S1P1) receptor, we evaluated the utility of high-content approaches in hit identification efforts by developing and applying assays to monitor ß-arrestin translocation, GPCR internalization, and GPCR recycling kinetics. Using these approaches in combination with more traditional GPCR screening assays, we identified compounds whose unique pharmacological profiles would have gone unnoticed if using a single platform. In addition, we identified a compound that induces an atypical pattern of ß-arrestin translocation and GPCR recycling kinetics. Our results highlight the value of high-content imaging in GPCR drug discovery efforts and emphasize the value of a multiassay approach to study pharmacological properties of compounds of interest.

Identification of small molecules that selectively inhibit diacylglycerol lipase-α activity.

Recent genetic evidence suggests that the diacylglycerol lipase (DAGL-α) isoform is the major biosynthetic enzyme for the most abundant endocannabinoid, 2-arachidonoyl-glycerol (2-AG), in the central nervous system. Revelation of its essential role in regulating retrograde synaptic plasticity and adult neurogenesis has made it an attractive therapeutic target. Therefore, it has become apparent that selective inhibition of DAGL-α enzyme activity with a small molecule could be a strategy for the development of novel therapies for the treatment of disease indications such as depression, anxiety, pain, and cognition. In this report, the authors present the identification of small-molecule inhibitor chemotypes of DAGL-α, which were selective (≥10-fold) against two other lipases, pancreatic lipase and monoacylglycerol lipase, via high-throughput screening of a diverse compound collection. Seven chemotypes of interest from a list of 185 structural clusters, which included 132 singletons, were initially selected for evaluation and characterization. Selection was based on potency, selectivity, and chemical tractability. One of the chemotypes, the glycine sulfonamide series, was prioritized as an initial lead for further medicinal chemistry optimization.

Discovery of positive allosteric modulators and silent allosteric modulators of the µ-opioid receptor.

µ-Opioid receptors are among the most studied G protein-coupled receptors because of the therapeutic value of agonists, such as morphine, that are used to treat chronic pain. However, these drugs have significant side effects, such as respiratory suppression, constipation, allodynia, tolerance, and dependence, as well as abuse potential. Efforts to fine tune pain control while alleviating the side effects of drugs, both physiological and psychological, have led to the development of a wide variety of structurally diverse agonist ligands for the µ-opioid receptor, as well as compounds that target κ- and δ-opioid receptors. In recent years, the identification of allosteric ligands for some G protein-coupled receptors has provided breakthroughs in obtaining receptor subtype-selectivity that can reduce the overall side effect profiles of a potential drug. However, positive allosteric modulators (PAMs) can also have the specific advantage of only modulating the activity of the receptor when the orthosteric agonist occupies the receptor, thus maintaining spatial and temporal control of receptor signaling in vivo. This second advantage of allosteric modulators may yield breakthroughs in opioid receptor research and could lead to drugs with improved side-effect profiles or fewer tolerance and dependence issues compared with orthosteric opioid receptor agonists. Here, we describe the discovery and characterization of µ-opioid receptor PAMs and silent allosteric modulators, identified from high-throughput screening using a ß-arrestin-recruitment assay.

Development of a high-throughput calcium flux assay for identification of all ligand types including positive, negative, and silent allosteric modulators for G protein-coupled receptors.

In recent years, the increased use of cell-based functional assays for G protein-coupled receptors in high-throughput screening has enabled the design of robust assays to identify allosteric modulators (AMs) in addition to the more traditional orthosteric agonists and antagonists. In this article, the authors describe a screening format able to identify all ligand types using a triple-add assay that measures changes in cytosolic calcium concentration with three separate additions and reads in the same assay plate. This triple-add assay captures more small molecule ligand types than previously described assay formats without a significant increase in screening cost. Finally, the customizability of the triple-add assay to suit the needs of various AM screening programs is demonstrated.

Impact of high-throughput screening in biomedical research.

High-throughput screening (HTS) has been postulated in several quarters to be a contributory factor to the decline in productivity in the pharmaceutical industry. Moreover, it has been blamed for stifling the creativity that drug discovery demands. In this article, we aim to dispel these myths and present the case for the use of HTS as part of a proven scientific tool kit, the wider use of which is essential for the discovery of new chemotypes.

A high-throughput screen for receptor protein tyrosine phosphatase-gamma selective inhibitors.

Protein tyrosine phosphatase-γ (PTP-γ) is a receptor-like PTP whose biological function is poorly understood. A recent mouse PTP-γ genetic deletion model associated the loss of PTP-γ gene expression with a potential antidepressant phenotype. This led the authors to screen a subset of the Bristol-Myers Squibb (BMS) compound collection to identify selective small-molecule inhibitors of receptor-like PTP-γ (RPTP-γ) for use in evaluating enzyme function in vivo. Here, they report the design of a high-throughput fluorescence resonance energy transfer (FRET) assay based on the Z'-LYTE technology to screen for inhibitors of RPTP-γ. A subset of the BMS diverse compound collection was screened and several compounds identified as RPTP-γ inhibitors in the assay. After chemical triage and clustering, compounds were assessed for potency and selectivity by IC(50) determination with RPTP-γ and two other phosphatases, PTP-1B and CD45. One hundred twenty-nine RPTP-γ selective (defined as IC(50) value greater than 5- to 10-fold over PTP-1B and CD45) inhibitors were identified and prioritized for evaluation. One of these hits, 3-(3, 4-dichlorobenzylthio) thiophene-2-carboxylic acid, was the primary chemotype for the initiation of a medicinal chemistry program.

Best practices in compound management for preserving compound integrity and accurately providing samples for assays.

Preserving the integrity of the compound collection and providing high-quality materials for drug discovery in an efficient and cost-effective manner are 2 major challenges faced by compound management (CM) at Bristol-Myers Squibb (BMS). The demands on CM include delivering hundreds of thousands of compounds a year to a variety of operations. These operations range from single-compound requests to hit identification support and just-in-time assay plate provision for lead optimization. Support needs for these processes consist of the ability to rapidly provide compounds as solids or solutions in a variety of formats, establishing proper long- and short-term storage conditions and creating appropriate methods for handling concentrated, potent compounds for delivery to sensitive biological assays. A series of experiments evaluating the effects of processing compounds with volatile solvents, storage conditions that can induce freeze/thaw cycles, and the delivery of compounds were performed. This article presents the results of these experiments and how they affect compound integrity and the accuracy of compound management processes.

Efficient and effective compound management to support lead optimization.

The introduction of lean thinking and Six Sigma methodologies into the drug discovery process has become an important approach for ensuring efficient workflows while containing costs. For the compound management department at Bristol-Myers Squibb, this has resulted in a partnership with the research community to evaluate and streamline processes to enable cost-disciplined science. The authors describe the results of Lean Six Sigma approaches in the automation and informatics environment that have been optimized to support parallel processing of compounds. This new platform facilitates the rapid and simultaneous data generation from structure activity and structure liability assays. As a result of these compound management improvements, reduction of timelines and quicker decision making has been achieved in the lead optimization process.

Multiplexing a high-throughput liability assay to leverage efficiencies.

In order to identify potential cytochrome P-450 3A4 (drug-metabolizing enzyme) inducers at an early stage of the drug discovery process, a cell-based transactivation high-throughput luciferase reporter assay for the human pregnane X receptor (PXR) in HepG2 cells has been implemented and multiplexed with a viability end point for data interpretation, as part of a Lead Profiling portfolio of assays. As a routine part of Lead Profiling operations, assays are periodically evaluated for utility as well as for potential improvements in technology or process. We used a recent evaluation of our PXR-transactivation assay as a model for the application of Lean Thinking-based process analysis to lab-bench assay optimization and automation. This resulted in the development of a 384-well multiplexed homogeneous assay simultaneously detecting PXR transactivation and HepG2 cell cytotoxicity. In order to multiplex fluorescent and luminescent read-outs, modifications to each assay were necessary, which included optimization of multiple assay parameters such as cell density, plate type, and reagent concentrations. Subsequently, a set of compounds including known cytotoxic compounds and PXR inducers were used to validate the multiplexed assay. Results from the multiplexed assay correlate well with those from the singleplexed assay formats measuring PXR transactivation and viability separately. Implementation of the multiplexed assay for routine compound profiling provides improved data quality, sample conservation, cost savings, and resource efficiencies.

Extraction, identification, and functional characterization of a bioactive substance from automated compound-handling plastic tips.

Disposable plastic labware is ubiquitous in contemporary pharmaceutical research laboratories. Plastic labware is routinely used for chemical compound storage and during automated liquid-handling processes that support assay development, high-throughput screening, structure-activity determinations, and liability profiling. However, there is little information available in the literature on the contaminants released from plastic labware upon DMSO exposure and their resultant effects on specific biological assays. The authors report here the extraction, by simple DMSO washing, of a biologically active substance from one particular size of disposable plastic tips used in automated compound handling. The active contaminant was identified as erucamide ((Z)-docos-13-enamide), a long-chain mono-unsaturated fatty acid amide commonly used in plastics manufacturing, by gas chromatography/mass spectroscopy analysis of the DMSO-extracted material. Tip extracts prepared in DMSO, as well as a commercially obtained sample of erucamide, were active in a functional bioassay of a known G-protein-coupled fatty acid receptor. A sample of a different disposable tip product from the same vendor did not release detectable erucamide following solvent extraction, and DMSO extracts prepared from this product were inactive in the receptor functional assay. These results demonstrate that solvent-extractable contaminants from some plastic labware used in the contemporary pharmaceutical research and development (R&D) environment can be introduced into physical and biological assays during routine compound management liquid-handling processes. These contaminants may further possess biological activity and are therefore a potential source of assay-specific confounding artifacts.

Case study: impact of technology investment on lead discovery at Bristol-Myers Squibb, 1998-2006.

We review strategic approaches taken over an eight-year period at BMS to implement new high-throughput approaches to lead discovery. Investments in compound management infrastructure and chemistry library production capability allowed significant growth in the size, diversity and quality of the BMS compound collection. Screening platforms were upgraded with robust automated technology to support miniaturized assay formats, while workflows and information handling technologies were streamlined for improved performance. These technology changes drove the need for a supporting organization in which critical engineering, informatics and scientific skills were more strongly represented. Taken together, these investments led to significant improvements in speed and productivity as well a greater impact of screening campaigns on the initiation of new drug discovery programs.

Use of cryopreserved transiently transfected cells in high-throughput pregnane X receptor transactivation assay.

Cryopreserved, transiently transfected HepG2 cells were compared to freshly transfected HepG2 cells for use in a pregnane X receptor (PXR) transactivation assay. Assay performance was similar for both cell preparations; however, cryopreserved cells demonstrated less interassay variation. Validation with drugs of different PXR activation potencies and efficacies demonstrated an excellent correlation (r(2) > 0.95) between cryopreserved and fresh cells. Cryopreservation did not change the effect of known CYP3A4 inducers that have poor cell permeability, indicating that cryopreservation had little effect on membrane permeability. In addition, cryopreserved HepG2 cells did not exhibit enhanced susceptibility to cytotoxic compounds compared to transiently transfected control cells. The use of cryopreserved cells enables this assay to run with enhanced efficiency.

Analysis of cellular events using CellCard System in cell-based high-content multiplexed assays.

High-content screening technologies utilize assays that monitor and quantify multiple cellular events. These assays are typically performed on a single cell type with automated microscopy and image analysis. However, in order to better understand the selectivity of a compound across multiple cell lines, these types of assay must be run serially, which is time consuming. The CellCard System developed by Vitra Bioscience enables multiple cell types to be assayed within a single microtiter well, thereby enabling the simultaneous determination of cellular responses across ten cell types. This multiplexed approach could address the demand for assay capacity, increase the quality of the biologic data, reduce timelines, and improve cost-effectiveness in hit identification and lead evaluation. The authors have carried out an in-depth evaluation of this technology platform using ten cancer cell lines and a library of compounds that affect cellular growth through different mechanisms. Multiple assays were used to investigate the compound effects on membrane integrity, cell cycle progression and apoptosis. In this technology review, the authors discuss personal experience with assay validation, data analysis, results such as cell type-specific compound effects, and the potential application of the CellCard System in drug discovery.

An ultra-HTS process for the identification of small molecule modulators of orphan G-protein-coupled receptors.

G-protein-coupled receptors (GPCRs) are the most successful target proteins for drug discovery research to date. More than 150 orphan GPCRs of potential therapeutic interest have been identified for which no activating ligands or biological functions are known. One of the greatest challenges in the pharmaceutical industry is to link these orphan GPCRs with human diseases. Highly automated parallel approaches that integrate ultra-high throughput and focused screening can be used to identify small molecule modulators of orphan GPCRs. These small molecules can then be employed as pharmacological tools to explore the function of orphan receptors in models of human disease. In this review, we describe methods that utilize powerful ultra-high-throughput screening technologies to identify surrogate ligands of orphan GPCRs.