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PubMed2004

High-throughput siRNA-based functional target validation.

The drug discovery process pursued by major pharmaceutical companies for many years starts with target identification followed by high-throughput screening (HTS) with the goal of identifying lead compounds. To accomplish this goal, significant resources are invested into automation of the screening process or HTS. Robotic systems capable of handling thousands of data points per day are implemented across the pharmaceutical sector. Many of these systems are amenable to handling cell-based screening protocols as well. On the other hand, as companies strive to develop innovative products based on novel mechanisms of action(s), one of the current bottlenecks of the industry is the target validation process. Traditionally, bioinformatics and HTS groups operate separately at different stages of the drug discovery process. The authors describe the convergence and integration of HTS and bioinformatics to perform high-throughput target functional identification and validation. As an example of this approach, they initiated a project with a functional cell-based screen for a biological process of interest using libraries of small interfering RNA (siRNA) molecules. In this protocol, siRNAs function as potent gene-specific inhibitors. siRNA-mediated knockdown of the target genes is confirmed by TaqMan analysis, and genes with impacts on biological functions of interest are selected for further analysis. Once the genes are confirmed and further validated, they may be used for HTS to yield lead compounds.

Base Sequence↗
PubMed2006

High-throughput screening of RNA polymerase inhibitors using a fluorescent UTP analog.

RNA polymerase (RNAP) is a well-validated target for the development of antibacterial and antituberculosis agents. Because the purification of large quantities of native RNA polymerase from pathogenic mycobacteria is hazardous and cumbersome, the primary screening was carried out using Escherichia coli RNAP. The authors have developed a high-throughput screening (HTS) assay to screen for novel inhibitors of RNAP. In this assay, a fluorescent analog of UTP, gamma-amino naphthalene sulfonic acid (gamma-AmNS) UTP, was used as one of the nucleotide substrates. Incorporation of UMP in RNA results in the release of gamma-AmNS-PPi, which has higher intrinsic fluorescence than (gamma-AmNS) UTP. The assay was optimized in a 384-well format and used to screen 670,000 compounds at a concentration of 10 microM. About 0.1% of the compounds showed more than 60% inhibition in the primary HTS. All the primary actives tested for dose response using the same assay had an EC(50) below 100 microM. Eighty percent of the primary HTS actives obtained using E. coli RNAP showed comparable activity against Mycobacterium smegmatis RNAP in the conventional radioactive assay. Activity of hits selected for the hit-to-lead optimization was also confirmed against Mycobacterium bovis RNAP which has >99% sequence identity with Mycobacterium tuberculosis RNAP subunits.

DNA-Directed RNA Polymerases↗
PubMed2002

Comparison of high throughput screening technologies for luminescence cell-based reporter screens.

As higher density formats become more and more common in HTS labs, the expectations for maintaining faster, lower cost screens puts great pressure on traditional 96-well screens. In some cases higher density formats are not compatible with the assay. This seems especially true in cell-based assays. In our case, the nature of the cells' response forced us to remain in 96-well plates. In this paper, we describe the development of a luminescence reporter assay and its performance in two detection modes, flash and glow. The advantages in cost and throughput for each technique are explored, along with automation considerations. An additional new technology, the use of pins for low-volume transfers, is also briefly described because of its dramatic effect on our screen's throughput. However, it will be more thoroughly presented in a future publication. Comparing the technologies available for HTS aids in designing automated systems that meet the unique needs of each assay.

Anti-HIV Agents↗
PubMed2003

Expression and purification of recombinant Kaposi's sarcoma-associated herpesvirus DNA polymerase using a Baculovirus vector system.

The DNA polymerase (POL) of Kaposi's sarcoma-associated herpesvirus (KSHV) is essential for viral DNA replication and, thus, may be considered as a viable target for anti-KSHV therapeutics. To produce large quantities of homogeneous and pure POL required for high-throughput screening (HTS) for inhibitors, we generated a recombinant baculovirus vector encoding a hexahistidine (His6)-tagged POL and infected Spodoptera frugiperda Sf-9 insect cells. High expression of recombinant POL (rPOL) was achieved for up to 72h post-infection. The rPOL was solubilized in lysis buffer containing 0.3% Cymal-5 detergent, purified by metal-chelating and dsDNA-cellulose affinity chromatography, and analyzed by anti-His antibody Western blot and mass spectrometry. The functionality of rPOL was confirmed by its DNA synthesis activity in vitro, which was effectively blocked by the anti-herpetic DNA polymerase inhibitors, foscarnet and cidofovir diphosphate, in a dose-dependent manner. The POL expressed and purified from the recombinant baculovirus-infected insect cells may be useful toward the development of HTS of large chemical libraries to identify novel KSHV DNA polymerase inhibitors.

Amino Acid Sequence↗
PubMed2006

Chemical microarray: a new tool for drug screening and discovery.

HTS with microtiter plates has been the major tool used in the pharmaceutical industry to explore chemical diversity space and to identify active compounds and pharmacophores for specific biological targets. However, HTS faces a daunting challenge regarding the fast-growing numbers of drug targets arising from genomic and proteomic research, and large chemical libraries generated from high-throughput synthesis. There is an urgent need to find new ways to profile the activity of large numbers of chemicals against hundreds of biological targets in a fast, low-cost fashion. Chemical microarray can rise to this challenge because it has the capability of identifying and evaluating small molecules as potential therapeutic reagents. During the past few years, chemical microarray technology, with different surface chemistries and activation strategies, has generated many successes in the evaluation of chemical-protein interactions, enzyme activity inhibition, target identification, signal pathway elucidation and cell-based functional analysis. The success of chemical microarray technology will provide unprecedented possibilities and capabilities for parallel functional analysis of tremendous amounts of chemical compounds.

Animals↗
PubMed2005

Statistical analysis of systematic errors in high-throughput screening.

High-throughput screening (HTS) is an efficient technology for drug discovery. It allows for screening of more than 100,000 compounds a day per screen and requires effective procedures for quality control. The authors have developed a method for evaluating a background surface of an HTS assay; it can be used to correct raw HTS data. This correction is necessary to take into account systematic errors that may affect the procedure of hit selection. The described method allows one to analyze experimental HTS data and determine trends and local fluctuations of the corresponding background surfaces. For an assay with a large number of plates, the deviations of the background surface from a plane are caused by systematic errors. Their influence can be minimized by the subtraction of the systematic background from the raw data. Two experimental HTS assays from the ChemBank database are examined in this article. The systematic error present in these data was estimated and removed from them. It enabled the authors to correct the hit selection procedure for both assays.

Algorithms↗
PubMed2002

Current trends in lead discovery: are we looking for the appropriate properties?

The new drug discovery paradigm is based on high-throughput technologies, both with respect to synthesis and screening. The progression HTS hits --> lead series --> candidate drug --> marketed drug appears to indicate that the probability of reaching launched status is one in a million. This has shifted the focus from good quality candidate drugs to good quality leads. We examined the current trends in lead discovery by comparing MW (molecular weight), LogP (octanol/water partition coefficient, estimated by Kowwin) and LogSw (intrinsic water solubility, estimated by Wskowwin) for the following categories: 62 leads and 75 drugs; compounds in the development phase (I, II, III and launched), as indexed in MDDR; and compounds indexed in medicinal chemistry journals, categorized according to their biological activity. Comparing the distribution of the above properties, the 62 lead structures show the lowest median with respect to MW (smaller) and LogP (less hydrophobic), and the highest median with respect to LogSw (more soluble). By contrast, over 50% of the medicinal chemistry compounds with activities above 1 nanomolar have MW > 425, LogP > 4.25 and LogSw < -4.75, indicating that the reported active compounds are larger, more hydrophobic and lesssoluble when compared to time-tested quality leads. In the MDDR set, a progressive constraint to reduce MW and LogP, and to increase LogSw, can be observed when examining trends in the developmental sequence: phase I, II, III and launched drugs. These trends indicate that other properties besides binding affinity, e.g., solubility and hydrophobicity, need to be considered when choosing the appropriate leads.

Chemistry, Pharmaceutical↗
PubMedDate not supplied

Current trends in lead discovery: are we looking for the appropriate properties?

The new drug discovery paradigm is based on high-throughput technologies, both with respect to synthesis and screening. The progression HTS hits --> lead series --> candidate drug --> marketed drug appears to indicate that the probability of reaching launched status is one in a million. This has shifted the focus from good quality candidate drugs to good quality leads. We examined the current trends in lead discovery by comparing MW (molecular weight), LogP (octanol/water partition coefficient, estimated by Kowwin) and LogSw (intrinsic water solubility, estimated by Wskowwin) for the following categories: 62 leads and 75 drugs; compounds in the development phase (I, II, III and launched), as indexed in MDDR; and compounds indexed in medicinal chemistry journals, categorized according to their biological activity. Comparing the distribution of the above properties, the 62 lead structures show the lowest median with respect to MW (smaller) and LogP (less hydrophobic), and the highest median with respect to LogSw (more soluble). By contrast, over 50% of the medicinal chemistry compounds with activities above 1 nanomolar have MW > 425, LogP > 4.25 and LogSw < -4.75, indicating that the reported active compounds are larger, more hydrophobic and less soluble when compared to time-tested quality leads. In the MDDR set, a progressive constraint to reduce MW and LogP, and to increase LogSw, can be observed when examining trends in the developmental sequence: phase I, II, III and launched drugs. These trends indicate that other properties besides binding affinity, e.g., solubility and hydrophobicity, need to be considered when choosing the appropriate leads.

Chemistry, Pharmaceutical↗
PubMed2001

A cGMP-dependent protein kinase assay for high throughput screening based on time-resolved fluorescence resonance energy transfer.

Activation of cyclic GMP-dependent protein kinase (cGK) is an important event in the regulation of blood pressure and platelet function. Upstream signals are the generation of nitric oxide (NO) by NO synthases and the subsequent rise in cyclic GMP levels mediated by NO-dependent guanylyl cyclases (GCs). The identification of new cGK activators by high throughput screening (HTS) may lead to the development of a novel class of therapeutics for the treatment of cardiovascular diseases. Therefore, a homogeneous, nonradioactive assay for cGK activity was developed using a biotinylated peptide derived from vasodilator-stimulated phosphoprotein (VASP), a well-characterized natural cGK substrate. The phosphorylated peptide could be detected by a VASP-specific monoclonal phosphoserine antibody and a fluorescent detection system consisting of a europium-labeled secondary antibody and allophycocyanin (APC)-labeled streptavidin. Fluorescence resonance energy transfer (FRET) from europium to APC was detected in a time-resolved fashion (TR-FRET). Activation and inhibition constants for known substances determined by this new fluorescence-based assay correlated well with published results obtained by conventional radioactive cGK activity assays. The assay proved to be sensitive, robust, highly specific for cGK, and suitable for HTS in 96- and 384-well formats. This assay is applicable to purified enzymes as well as to complex samples such as human platelet extracts.

Alkaloids↗
PubMed2001

[High throughput pharmacology for drug discovery].

High Throughput Screening (HTS) now plays an important role in the discovery of new lead compounds for novel therapeutic targets. The advantage of HTS over the conventional method, now termed as Low Throughput Screening (LTS), is that valuable compounds can be selected rapidly from a large number of samples with minimal human involvement. In spite of the growing awareness of HTS, the importance of the LTS in the drug discovery and development is still not changed. Advances in pharmacogenomics will also provide us many pharmacological targets, and thus increase the number of compounds that should be assayed by HTS and LTS. In this review, we will first describe the outline of HTS. We will next describe new approaches to develop and brush up the LTS: 1) screening method of drugs acting on ion channels by voltage-sensitive fluorescent dye, 2) functional assay method using reconstituted smooth muscle fiber, and 3) organ culture method as a useful model of vascular proliferative disease. These approaches, which work cooperatively with HTS, will contribute greatly to the development of new drugs.

Animals↗
PubMed2006

A high-throughput drug screen targeted to the 5'untranslated region of Alzheimer amyloid precursor protein mRNA.

The authors employed a novel approach to identify therapeutics effective in Alzheimer disease (AD). The 5'untranslated region (5'UTR) of the mRNA of AD amyloid precursor protein (APP) is a significant regulator of the levels of the APP holoprotein and amyloid beta (Abeta) peptide in the central nervous system. The authors generated stable neuroblastoma SH-SY5Y transfectants that express luciferase under the translational control of the 146-nucleotide APP mRNA 5'UTR and green fluorescent protein (GFP) driven by a viral internal ribosomal entry site. Using a high-throughput screen (HTS), they screened for the effect of 110,000 compounds obtained from the library of the Laboratory for Drug Discovery on Neurodegeneration (LDDN) on the APP mRNA 5'UTR-controlled translation of the luciferase reporter. This screening yielded several nontoxic specific inhibitors of APP mRNA 5'UTR-driven luciferase that had no effect on the GFP expression in the stable SH-SY5Y transfectants. Moreover, these compounds either did not inhibit or inhibited to a much lower extent the expression of the luciferase reporter regulated by a prion protein (PrP) mRNA 5'UTR, used as an alternative mRNA structure to counterscreen APP mRNA 5'UTR in stably transfected SH-SY5Y cell lines. The hits obtained from this robust, specific, and highly quantitative HTS will be characterized to identify agents that may be developed into useful future therapeutic agents to limit APP translation and Abeta production for AD.

5' Untranslated Regions↗
PubMed2005

A 96-well surrogate survival assay coupled with a special short interfering RNA vector for assessing cancer gene targets with enhanced signal/noise ratio and its utility in HTS for cancer therapeutic targets.

Transient transfection of short interfering RNAs to inactivate cancer therapeutic genes in cancer cells is an important method to induce therapeutic phenotypes (cell apoptosis, growth arrest, etc.) for cancer target validation. These phenotypes can be initially assessed by cell survival via colorimetric/fluorescence readings, e.g., alamarBlue (Trek Diagnostic Systems, Cleveland, OH) and WST-1. However, intrinsic problems exist for transient transfection-varying toxicity, inconsistent transfection efficiency, as well as other cell-specific determinants-which contribute to a low signal:noise ratio of the assays, rendering of the assay ineffective particularly when applied in high-throughput screening (HTS) multiplexed for different cells. This report describes a method using reporter as a "normalized surrogate" for the conventional survival readout in a 96-well format. In this approach, only the transfected surviving cells produce reporter activities, and many variables associated with transient transfection are excluded. A constitutively expressed reporter gene (luciferase or LacZ) expression cassette is co-transfected into cells along with a specially designed RNA interference (RNAi) vector (or a transgene for that matter). The reporter activity in either liquid cultures or in soft agar cultures in 96-well formats is then quantitated in situ. The RNAi vector construction is simplified so that it can be adapted to a 96-well format. Our data demonstrated that the relative reporter readings for survival are independent of both transfection efficiency and cellular toxicity. The signal:noise ratio is markedly increased, particularly for cells with low transfection efficiency. The assay is versatile and robust and can be applied in multiplexed HTS for cancer target identification and validation.

Base Sequence↗
PubMed2007

Automated multiple ligand screening by frontal affinity chromatography-mass spectrometry (FAC-MS).

High-throughput screening (HTS) efforts to discover "hits" typically rely on the large-scale parallel screening of individual compounds with attempts to screen mixtures of compounds typically and, unfortunately, giving rise to false positives and false negatives due to the nature of the HTS readout (% inhibition/activation above a defined threshold) that makes deconvolution virtually intractable. Bioaffinity screening methods have emerged as an alternative or orthogonal method to classic HTS. One of these methods, frontal affinity chromatography coupled to mass spectrometry detection (FAC-MS), although still a relatively new technique, is turning out to be a viable screening tool. However, to push FAC-MS more to the forefront as a moderate primary HTS system (or a secondary screening assay), automation needs to be addressed. An automated FAC-MS system is described using 2 columns containing immobilized hERbeta, whereby while 1 column is being regenerated, the other is being used. The authors are extrapolating that in a continuous 24-h operation, the number of ligands screened could potentially approach 10,000. In addition, preliminary structure-activity relationship binding information (typically not seen in early primary HTS) can be obtained by observing the rank order of the library members in the various mixtures.

Amino Acid Sequence↗
PubMed2005

Identification and characterization of potent small molecule inhibitor of hemorrhagic fever New World arenaviruses.

Category A arenaviruses as defined by the National Institute of Allergy and Infectious Diseases (NIAID) are human pathogens that could be weaponized by bioterrorists. Many of these deadly viruses require biosafety level-4 (BSL-4) containment for all laboratory work, which limits traditional laboratory high-throughput screening (HTS) for identification of small molecule inhibitors. For those reasons, a related BSL-2 New World arenavirus, Tacaribe virus, 67-78% identical to Junín virus at the amino acid level, was used in a HTS campaign where approximately 400,000 small molecule compounds were screened in a Tacaribe virus-induced cytopathic effect (CPE) assay. Compounds identified in this screen showed antiviral activity and specificity against not only Tacaribe virus, but also the Category A New World arenaviruses (Junín, Machupo, and Guanarito). Drug resistant variants were isolated, suggesting that these compounds act through inhibition of a viral protein, the viral glycoprotein (GP2), and not through cellular toxicity mechanisms. A lead compound, ST-294, has been chosen for drug development. This potent and selective compound, with good bioavailability, demonstrated protective anti-viral efficacy in a Tacaribe mouse challenge model. This series of compounds represent a new class of inhibitors that may warrant further development for potential inclusion in a strategic stockpile.

Amino Acid Sequence↗
PubMed2000

A reporter gene assay for high-throughput screening of G-protein-coupled receptors stably or transiently expressed in HEK293 EBNA cells grown in suspension culture.

We describe in detail a robust, sensitive, and versatile functional assay for G-protein-coupled receptors (GPCRs) expressed in human embryonic kidney (HEK) 293-EBNA (Epstein-Barr virus nuclear antigen) (designated 293E) cells. The ability to grow these cells in suspension, in conjunction with the use of the secreted form of the human placental alkaline phosphatase (SEAP) as the reporter enzyme transcriptionally regulated by 5-cyclic AMP (cAMP) response elements (CREs) (Chen et al., Anal. Biochem. 226, 349-354 (1995)), makes this CRE-SEAP assay potentially attractive for high-throughput screening (HTS). A 293E clonal cell line, stably transfected with the CRE-SEAP plasmid, was initially characterized with compounds known to activate intracellular signal transduction pathways similar to those activated by GPCRs. Forskolin and cAMP analogues were potent at inducing SEAP expression but calcium ionophores (A23187 and ionomycin) were without effect. The forskolin response was also potentiated by the protein kinase C activator phorbol myristate acetate as well as the phosphodiesterase inhibitor isobutylmethylxanthine. Previously established cell lines expressing the G(alphas)-coupled DP or the G(alphaq)-coupled-EP(1) prostanoid receptors were stably transfected with the reporter gene construct and clones were selected based on their ability to secrete SEAP upon agonist challenge. Pharmacological characterization of the DP and EP(1) receptors displayed a similar rank order of potency for several known prostanoids and related compounds to that previously reported using classical binding assays or other functional assays. The CRE-SEAP assay was also used to characterize the EP(1) receptor antagonists SC-51322, SC-51089, and AH6809. In summary, we have established a reporter gene assay for GPCRs that couple to both G(alphas) and G(alphaq) and is amenable to HTS of both agonists and antagonists.

Base Sequence↗
PubMed2005

Validation of a fluorescent imaging plate reader membrane potential assay for high-throughput screening of glycine transporter modulators.

A fluorescent imaging plate reader (FLIPR) membrane potential (V(m)) assay was evaluated for pharmacological characterization and high-throughput screening (HTS) of rat glycine transporter type 2 (rGlyT(2)) in a stable rGlyT(2)-HEK cell line. Data show that glycine activation of rGlyT(2) consistently results in a concentration-dependent V(m) response on the FLIPR that is blocked by the potent and selective GlyT(2) antagonist 4-benzyloxy-3,5-dimethoxy-N-[1-dimethylamino-cyclopentyl)methyl]-benz-amide (Org-25543). Agonist and antagonist pharmacologies match those reported using conventional [(3)H]glycine uptake assays and electrophysiology. The glycine response is dependent on buffer ionic composition consistent with GlyT(2) physiology. Assay signal-to-background and coefficient of variation meets sufficient statistical criteria to conduct HTS. The results of a screen of the chemical inventory demonstrate that the assay is able to successfully identify and confirm GlyT(2) inhibitors. The advantages of this assay are its homogeneity, compatibility with both 96- and 384-well formats, and lack of radioactivity usage. Thus, the authors conclude that a fluorescence-based V(m) assay on FLIPR is a viable approach for identification and pharmacological profiling of small molecule modulators of the electrogenic transporter rGlyT(2).

Amino Acid Transport Systems, Neutral↗
PubMed2003

Homogeneous assays for adenosine 5'-monophosphate-activated protein kinase.

Allosteric activation of 5(')-AMP-activated protein kinase (AMPK) is currently of interest as an approach for the treatment of metabolic disorders because AMPK plays multiple roles in glucose and lipid metabolism. The availability of ultrafast, ultrasensitive, and robust assays suited to high-throughput screening (HTS) is key to obtaining small-molecule AMPK activators. In the absence of high-affinity and selective antiphospho Ser/Thr antibodies for AMPK substrates, we have developed two homogeneous AMPK assays with the commercially available antibody Anti-pS(133)-CREB and an engineered peptide ACC-CREBp. Anti-pS(133)-CREB antibody was raised against the phospho-CREB peptide derived from cAMP response element binding protein (CREB). ACC-CREBp was a variant (Arg to Pro) of ACC-CREB, a hybrid peptide consisting of a 9-amino-acid peptide from rat acetyl-CoA carboxylase (ACC), CREB peptide, and the addition of two hydrophobic Leu residues. ACC-CREBp showed increased suitability as a substrate for AMPK, eliminated phosphorylation by PKA, and preserved antibody binding. The homogeneous time-resolved fluorescence and AlphaScreen AMPK assays were developed using both Anti-pS(133)-CREB antibody and ACC-CREBp that are either labeled with a fluorescent probe or linked to a photoactivated bead, respectively. Thus, ACC-CREBp phosphorylation can be measured as a signal change resulting from the formation of antibody-antigen complex. This approach of adapting known antibody and antigenic peptide pairs to monitor alternate Ser/Thr kinases may be of general use.

AMP-Activated Protein Kinases↗
PubMed2003

Prediction of drug metabolism: the case of cytochrome P450 2D6.

Cytochromes P450 (Cyt P450s) constitute the most important biotransformation enzymes involved in the biotransformation of drugs and other xenobiotics. Because drug metabolism by Cyt P450s plays such an important role in the disposition and in the pharmacological and toxicological effects of drugs, early consideration of ADME-properties is increasingly seen as essential for the discovery and the development of new drugs and drug candidates. The primary aim of this paper is to present various computational approaches used to rationalize and predict the activity and substrate selectivity of Cyt P450s, as well as the possibilities and limitations of these approaches, now and in the future. Attention is also paid to the experimental validation of these approaches by using high-throughput screening (HTS) of affinities to drug-drug interactions at the level of Cyt P450-isoenzymes. Since human Cyt P450 2D6 is one of the most important drug metabolizing enzymes and since in this regard much pioneering work has been done with this Cyt P450, Cyt P450 2D6 is chosen as a model for this discussion. Apart from early mechanism-based ab initio calculations on substrates of Cyt P450 2D6, pharmacophore modeling of ligands (i.e. both substrates and inhibitors) of Cyt P450 2D6 and protein homology modeling have been used successfully for the rationalisation and prediction of metabolite formation by this Cyt P450 isoenzyme. Significant protein structure-related species differences have been reported recently. It is concluded that not one computational approach is capable of rationalizing and reliably predicting metabolite formation by Cyt P450 2D6, but that it is rather the combination of the various complimentary approaches. It is moreover concluded, that experimental validation of the computational models and predictions is often still lacking. With the advent of novel, easily and well applicable in vitro based high throughput assays for ligand binding and turnover this limitation could be overcome soon, however. When effective links with other new and recent developments, such as bioinformatics, neural network computing, genomics and proteomics can be created, in silico rationalisation and prediction of drug metabolism by Cyt P450s is likely to become one of the key technologies in early drug discovery and development processes.

Animals↗