SpeedScreen: The "missing link" between genomics and lead discovery

SpeedScreen is a novel, label-free, in-solution, affinity-based selection methodology for high-throughput screening (HTS) developed at Novartis Pharma. The SpeedScreen protocol comprises in-solution affinity selection, followed by size exclusion chromatography in combination with microbore-liquid-chromatography/electrospray-ionization mass spectrometry (micro-LC/ESI-MS). The authors describe the basic concept behind assay development, HTS, and data analysis with the SpeedScreen technology. Advantages and limitations of SpeedScreen compared to alternative screening technologies are discussed, and an example is given from a SpeedScreen campaign applying this innovative affinity selection concept in HTS.     

SpeedScreen: label-free liquid chromatography-mass spectrometry-based high-throughput screening for the discovery of orphan protein ligands

A high-throughput screening methodology tailored to the discovery of ligands for known and orphan proteins is presented. With this method, labeling of neither target protein nor screened compounds is required, as the ligands are affinity selected by incubation of the protein with mixtures of compounds in aqueous binding buffer. Unbound small-molecular-weight compounds are removed from the target protein:ligand complex by rapid size-exclusion chromatography in the 96-well format. The protein fraction is analyzed subsequently by liquid chromatography-mass spectrometry for detection and identification of the bound ligand. This screening method was validated with known protein:ligand model systems and optimized for selection of high-affinity binders in an industrial screening environment. All sample handling steps and the analytics are rapid, robust, and largely automated, adopting this technology to the needs of present high-throughput screening processes. This affinity-selection technology, termed SpeedScreen, is currently an integral part of our lead discovery process.     

Use of FLIPR membrane potential dyes for validation of high-throughput screening with the FLIPR and microARCS technologies: identification of ion channel modulators acting on the GABA(A) receptor

Fluorometric imaging plate reader (FLIPR) membrane potential dyes (FMP-Red-Dye and FMP-Blue-Dye) were evaluated for the detection of compounds acting either as positive allosteric modulators or agonists on the GABA(A) receptor (GABA(A)R). A stable HEK293 cell line with constitutive expression of the rat GABA(A)R alpha1, beta2, and gamma2 genes was used to establish a functional high-throughput screening (HTS) assay based on measurement of the membrane potential change in living cells. The assay was validated with the FLIPR technology for identification of agonists and positive allosteric modulators using GABA and diazepam as model compounds. The FMP-Red-Dye showed better performance than the FMP-Blue-Dye, and the effects induced by GABA and diazepam were comparable to electrophysiology data. Subsequently, the assay was also validated with an ultra-HTS approach known as microarrayed compound screening (microARCS). The LOPAC library was used in a test screen for an initial assessment of the technology. Finally, the FLIPR and microARCS technologies were tested with a larger screening campaign. A focused library of 3520 putative positive modulators was tested with the FLIPR assay, and a diverse subset of 84,480 compounds was selected for screening with the microARCS technology. All hits were subjected to verification using the FLIPR technology, and confirmed hits were subsequently evaluated by EC50 determination. Finally, selected hits were further confirmed with electrophysiology testing.     

Comparison of assay technologies for a nuclear receptor assay screen reveals differences in the sets of identified functional antagonists

Many assay technologies currently exist to develop high-throughput screening assays, and the number of choices continues to increase. Results from a previous study comparing assay technologies in our laboratory do not support the common assumption that the same hits would be found regardless of which assay technology is used. To extend this investigation, a nuclear receptor antagonist assay was developed using 3 assay formats: AlphaScreen, time-resolved fluorescence (TRF), and time-resolved fluorescence resonance energy transfer (TR-FRET). Compounds ( approximately 42000) from the Novartis library were evaluated in all 3 assay formats. A total of 128 compounds were evaluated in dose-response experiments, and 109 compounds were confirmed active from all 3 formats. The AlphaScreen, TRF, and TR-FRET assay technologies identified 104, 23, and 57 active compounds, respectively, with only 18 compounds active in all 3 assay formats. A total of 128 compounds were evaluated in a cell-based functional assay, and 35 compounds demonstrated activity in this cellular assay. Furthermore, 34, 11, and 16 hits that were originally identified in the dose-response experiment by AlphaScreen, TRF, and TR-FRET assay technologies, respectively, were functionally active. The results of the study indicated that AlphaScreen identified the greatest number of functional antagonists.     

A continuous, fluorescent, high-throughput assay for human dimethylarginine dimethylaminohydrolase-1

Inhibitors of human dimethylarginine dimethylaminohydrolase-1 (DDAH-1) are of therapeutic interest for controlling pathological nitric oxide production. Only a limited number of biologically useful inhibitors have been identified, so structurally diverse lead compounds are desired. In contrast with previous assays that do not possess adequate sensitivity for optimal screening, herein is reported a high-throughput assay that uses an alternative thiol-releasing substrate, S-methyl-L-thiocitrulline, and a thiol-reactive fluorophore, 7-diethylamino-3-(4'-maleimidylphenyl)-4-methylcoumarin, to enable continuous detection of product formation by DDAH-1. The assay is applied to query two commercial libraries totaling 4446 compounds, and two representative hits are described, including a known DDAH-1 inhibitor. This is the most sensitive DDAH-1 assay reported to date and enables screening of compound libraries using [S] = K (M) conditions while displaying Z' factors from 0.6 to 0.8. Therefore, this strategy now makes possible high-throughput screening for human DDAH-1 inhibitors in pursuit of molecular probes and drugs to control excessive nitric oxide production.     

Ligand- and structure-based in silico studies to identify kinesin spindle protein (KSP) inhibitors as potential anticancer agents

Kinesin spindle protein (KSP) belongs to the kinesin superfamily of microtubule-based motor proteins. KSP is responsible for the establishment of the bipolar mitotic spindle which mediates cell division. Inhibition of KSP expedites the blockade of the normal cell cycle during mitosis through the generation of monoastral MT arrays that finally cause apoptotic cell death. As KSP is highly expressed in proliferating/cancer cells, it has gained considerable attention as a potential drug target for cancer chemotherapy. Therefore, this study envisaged to design novel KSP inhibitors by employing computational techniques/tools such as pharmacophore modelling, virtual database screening, molecular docking and molecular dynamics. Initially, the pharmacophore models were generated from the data-set of highly potent KSP inhibitors and the pharmacophore models were validated against in house test set ligands. The validated pharmacophore model was then taken for database screening (Maybridge and ChemBridge) to yield hits, which were further filtered for their drug-likeliness. The potential hits retrieved from virtual database screening were docked using CDOCKER to identify the ligand binding landscape. The top-ranked hits obtained from molecular docking were progressed to molecular dynamics (AMBER) simulations to deduce the ligand binding affinity. This study identified MB-41570 and CB-10358 as potential hits and evaluated these experimentally using in vitro KSP ATPase inhibition assays.     

Multidimensional profiling of CSF1R screening hits and inhibitors: assessing cellular activity, target residence time, and selectivity in a higher throughput way

Over the past years, improvements in high-throughput screening (HTS) technology and compound libraries have resulted in a dramatic increase in the amounts of good-quality screening hits, and there is a growing need for follow-on hit profiling assays with medium throughput to further triage hits. Here the authors present such assays for the colony-stimulating factor 1 receptor (CSF1R, Fms), including tests for cellular activity and a homogeneous assay to measure affinity for inactive CSF1R. They also present a high-throughput assay to measure target residence time, which is based on competitive binding kinetics. To better fit k(off) rates, they present a modified mathematical model for competitive kinetics. In all assays, they profiled eight reference inhibitors (imatinib, sorafenib, sunitinib, tandutinib, dasatinib, GW2580, Ki20227, and J&J's pyrido[2,3-d]pyrimidin-5-one). Using the known biochemical selectivities of these inhibitors, which can be quantified using metrics such as the selectivity entropy, the authors have determined which assay readout best predicts hit selectivity. Their profiling shows surprisingly that imatinib has a preference for the active form of CSF1R and that Ki20227 has an unusually slow target dissociation rate. This confirms that follow-on hit profiling is essential to ensure that the best hits are selected for lead optimization.     

Screening for caspase-3 inhibitors: a new class of potent small-molecule inhibitors of caspase-3

From the authors' 650,000 compound collection, they have selected approximately 15,000 potential small-molecule protease inhibitors, which were subjected to high-throughput screening against caspase-3. The screening yielded a series of hits that belong to 11 different scaffolds. Based on the structure of one of the hits, a new class of the small-molecule inhibitors with a double electrophilic warhead, 8-sulfonyl-pyrrolo[3,4-c]quinoline-1,3-diones (SPQ), was synthesized and tested in follow-up mechanistic and anti-apoptosis assays. Mechanistic analysis of a representative compound of this class, CD-001-0011, showed that the compound exhibited a high potency (IC (50)=130 nM), was reversible though noncompetitive, and had a broad selectivity profile to other caspases belonging to groups I to III. The compound was effective in preventing staurosporine induced apoptosis in a few cell lines and retinoic acid-induced apoptosis in zebrafish.     

High-throughput determination of mode of inhibition in lead identification and optimization

After finishing the primary high-throughput screening, the screening team is often faced with thousands of hits to be evaluated further. Effective filtering of these hits is crucial in identifying leads. Mode of inhibition (MOI) study is extremely useful in validating whether the observed compound activity is specific to the biological target. In this article, the authors describe a high-throughput MOI determination method for evaluating thousands of compounds using an existing screening infrastructure. Based on enzyme or receptor kinetics theory, the authors developed the method by measuring the ratio of IC(50) or percent inhibition at 2 carefully chosen substrate or ligand concentrations to define an inhibitor as competitive, uncompetitive, or noncompetitive. This not only facilitates binning of HTS hits according to their MOI but also greatly expands HTS utility in support of the medicinal chemistry team's lead optimization practice. Three case studies are presented to demonstrate how the method was applied successfully in 3 discovery programs targeting either an enzyme or a G-protein-coupled receptor.     

New molecular scaffolds for the design of Mycobacterium tuberculosis type II dehydroquinase inhibitors identified using ligand and receptor based virtual screening

Using ligand and receptor based virtual screening approaches we have identified potential virtual screening hits targeting type II dehydroquinase from Mycobacterium tuberculosis, an effective and validated anti-mycobacterial target. Initially, we applied a virtual screening workflow based on a combination of 2D structural fingerprints, 3D pharmacophore and molecular docking to identify compounds that rigidly match specific aspects of ligand bioactive conformation. Subsequently, the resulting compounds were ranked and prioritized using receptor interaction fingerprint based scoring and quantitative structure activity relationship model developed using already known actives. The virtual screening hits prioritized belong to several classes of molecular scaffolds with several available substitution positions that could allow chemical modification to enhance binding affinity. Finally, identified hits may be useful to a medicinal chemist or combinatorial chemist to pick up the new molecular starting points for medicinal chemistry optimization for the design of novel type II dehydroquinase inhibitors.     

Evaluation of the InteraX system technology in a high-throughput screening environment

The authors have developed a cell-based high-throughput screening (HTS)-compatible assay to measure EGFR dimerization using the InteraX enzyme complementation technology of Applied Biosystems. The cells contain 2 chimeric proteins with complementing deletion mutants of the beta galactosidase enzyme, each fused to the extracellular and transmembrane part of EGFR. On binding of EGF, EGF receptor dimerizes and an active beta galactosidase is built. The authors used this homogeneous 384-well assay to screen about 20,000 diverse compounds. From 2 independent primary screen runs 239 hits were identified. For run 1, a mean S/B ratio of 4.26 and a mean Z' factor of 0.74 were obtained, for run 2 a mean S/B ratio of 3.88 and a mean Z' factor of 0.71 were obtained. After hit confirmation, repeated 4 times, 112 hits remained with a confirmation rate of 48.9%. Thirty of the 112 could be identified as cytotoxic. Fifty-one of the remaining 82 compounds could be shown to be inhibitors of the beta galactosidase enzyme itself. In summary, 31 compounds remained as potential EGFR dimerization or EGF stimulation inhibitors. The authors conclude that the InteraX system technology is HTS capable and can detect small molecule inhibitors capable of inhibiting protein-protein interactions.     

Automated nano-electrospray mass spectrometry for protein-ligand screening by noncovalent interaction applied to human H-FABP and A-FABP

A method for ligand screening by automated nano-electrospray ionization mass spectrometry (nano-ESI/MS) is described. The core of the system consisted of a chip-based platform for automated sample delivery from a 96-well plate and subsequent analysis based on noncovalent interactions. Human fatty acid binding protein, H-FABP (heart) and A-FABP (adipose), with small potential ligands was analyzed. The technique has been compared with a previously reported method based on nuclear magnetic resonance (NMR), and excellent correlation with the found hits was obtained. In the current MS screening method, the cycle time per sample was 1.1 min, which is approximately 50 times faster than NMR for single compounds and approximately 5 times faster for compound mixtures. High reproducibility was achieved, and the protein consumption was in the range of 88 to 100 picomoles per sample. Futhermore, a novel protocol for preparation of A-FABP without the natural ligand is presented. The described screening approach is suitable for ligand screening very early in the drug discovery process before conventional high-throughput screens (HTS) are developed and/or used as a secondary screening for ligands identified by HTS.     

Post-high-throughput screening analysis: an empirical compound prioritization scheme

An empirical scheme to evaluate and prioritize screening hits from high-throughput screening (HTS) is proposed. Negative scores are given when chemotypes found in the HTS hits are present in annotated databases such as MDDR and WOMBAT or for testing positive in toxicity-related experiments reported in TOXNET. Positive scores were given for higher measured biological activities, for testing negative in toxicity-related literature, and for good overlap when profiled against drug-related properties. Particular emphasis is placed on estimating aqueous solubility to prioritize in vivo experiments. This empirical scheme is given as an illustration to assist the decision-making process in selecting chemotypes and individual compounds for further experimentation, when confronted with multiple hits from high-throughput experiments. The decision-making process is discussed for a set of G-protein coupled receptor antagonists and validated on a literature example for dihydrofolate reductase inhibition.     

Identifying nonselective hits from a homogeneous calcium assay screen

The authors used a homogeneous calcium dye kit with a cell line transfected using a recombinant protein construct to screen a 50,000 compound library for G-protein coupled receptor (GPCR) agonists. Only 1 of the 365 primary hits activated Gq-coupled GPCRs, as shown using IP-ONE HTRF. Furthermore, an agonist screen against the entire compound library and same heterologous cell line using AequoScreen technology generated no false positives and identified the same positive hit. Next, a multiplex assay composed of both Fluo-3 and Fura-2-loaded cells identified 1 false positive and the same true-positive hit out of the 365 primary hits. Finally, rescreening the 365 primary hits against the parental cell line loaded using the homogeneous calcium dye kit confirmed the specificity of the same true-positive hit only. In summary, the results suggest that AequoScreen technology, IP-ONE HTRF, and multiplex assays are unique, orthogonal technologies to identify nonspecific hits.     

Identification of novel drug scaffolds for inhibition of SARS-CoV 3-Chymotrypsin-like protease using virtual and high-throughput screenings

We have used a combination of virtual screening (VS) and high-throughput screening (HTS) techniques to identify novel, non-peptidic small molecule inhibitors against human SARS-CoV 3CLpro. A structure-based VS approach integrating docking and pharmacophore based methods was employed to computationally screen 621,000 compounds from the ZINC library. The screening protocol was validated using known 3CLpro inhibitors and was optimized for speed, improved selectivity, and for accommodating receptor flexibility. Subsequently, a fluorescence-based enzymatic HTS assay was developed and optimized to experimentally screen approximately 41,000 compounds from four structurally diverse libraries chosen mainly based on the VS results. False positives from initial HTS hits were eliminated by a secondary orthogonal binding analysis using surface plasmon resonance (SPR). The campaign identified a reversible small molecule inhibitor exhibiting mixed-type inhibition with a K_i value of 11.1 μM. Together, these results validate our protocols as suitable approaches to screen virtual and chemical libraries, and the newly identified compound reported in our study represents a promising structural scaffold to pursue for further SARS-CoV 3CLpro inhibitor development.     

Identification of metabotropic glutamate receptor antagonists using an automated high-throughput screening system

Antagonists to the human metabotropic glutamate receptor subtype 5a(mGluR(5a)) have been implicated as potential therapeutics for the treatment of a variety of nervous system disorders, including pain, anxiety, and Parkinson's disease. To discover novel antagonists to the mGluR(5a), a functional assay measuring agonist-induced intracellular calcium release was developed. The assay was used for the high-throughput screening of a large collection of compounds in single wells using a fully automated robotic platform. Primary high-throughput screening hits were subjected to a combination of data analysis and counterscreening assays to identify several compounds with both efficacy and selectivity for the metabotropic glutamate receptor target.