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One of the central questions in the characterization of enzyme inhibitors is determining the mode of inhibition (MOI). Classically, this is done with a number of low-throughput methods in which inhibition models are fitted to the data. The ability to rapidly characterize the MOI for inhibitors arising from high-throughput screening in which hundreds to thousands of primary inhibitors may need to be characterized would greatly help in lead selection efforts. Here we describe a novel method for determining the MOI of a compound without the need for curve fitting of the enzyme inhibition data. We provide experimental data to demonstrate the utility of this new high-throughput MOI classification method based on nonparametric analysis of the activity derived from a small matrix of substrate and inhibitor concentrations (e.g., from a 4S × 4I matrix). Lists of inhibitors from four different enzyme assays are studied, and the results are compared with the previously described IC50-shift method for MOI classification. The MOI results from this method are in good agreement with the known MOI and compare favorably with those from the IC50-shift method. In addition, we discuss some advantages and limitations of the method and provide recommendations for utilization of this MOI classification method.

Pilot testing of an assay intended for high-throughput screening (HTS) with small compound sets is a necessary but often time-consuming step in the validation of an assay protocol. When the initial testing concentration is less than optimal, this can involve iterative testing at different concentrations to further evaluate the pilot outcome, which can be even more time-consuming. Quantitative HTS (qHTS) enables flexible and rapid collection of assay performance statistics, hits at different concentrations, and concentration-response curves in a single experiment. Here we describe the qHTS process for pilot testing in which eight-point concentration-response curves are produced using an interplate asymmetric dilution protocol in which the first four concentrations are used to represent the range of typical HTS screening concentrations and the last four concentrations are added for robust curve fitting to determine potency/efficacy values. We also describe how these data can be analyzed to predict the frequency of false-positives, false-negatives, hit rates, and confirmation rates for the HTS process as a function of screening concentration. By taking into account the compound pharmacology, this pilot-testing paradigm enables rapid assessment of the assay performance and choosing the optimal concentration for the large-scale HTS in one experiment.

Just-in-time cell supply for cell-based high-throughput screening (HTS) is frequently problematic. In addition to scheduling and logistical issues, quality issues and variability due to passage effect, cell cycle, or confluency contribute to day-to-day signal variability in the course of cell-based HTS campaigns. Cell division-arrest and cryopreservation technologies permit the use of cells as assay-ready reagents for HTS and other cell-based profiling and structure-activity studies. In this report, the authors compare division-arrested and dividing cells in 2 assay types that are dependent on movement of proteins within or through cell membranes: a receptor tyrosine kinase assay involving A431 cells responsive to epidermal growth factor, and a secretion reporter assay, which measures secretion of a reporter gene, secreted alkaline phosphatase. In both assays, dividing and division-arrested cells yielded similar basal and maximal signals at a given cell density. Similar IC50s were obtained for reference inhibitors in each assay, type in both dividing and division-arrested cells. In addition, for the secretion reporter assay, when comparing IC 50 s obtained from 44 compounds randomly chosen from a primary screening hit list, the rank order of potency obtained from dividing cells and division-arrested cells was essentially identical. Furthermore, the results show that, under certain assay conditions, data generated using division-arrested cells are less variable than those generated using dividing cells. In summary, the results suggest that, in many cases, division-arrested cells can substitute for dividing cells and offer certain advantages for cell-based assays. (Journal of Biomolecular Screening 2005:615-623)

High-throughput screening (HTS) has grown rapidly in the past decade, with many advances in new assay formats, detection technologies, and laboratory automation. Recently, several studies have shown that the choice of assay technology used for the screening process is particularly important and can yield quite different primary screening outcomes. However, because the screening assays in these previous studies were performed in a single-point determination, it is not clear to what extent the difference observed in the screening results between different assay technologies is attributable to inherent assay variability and day-to-day measurement variation. To address this question, a nuclear receptor coactivator recruitment assay was carried out in 2 different assay formats, namely, AlphaScreen and time-resolved fluorescence resonance energy transfer, which probed the same biochemical binding events but with different detection technologies. For each assay format, 4 independent screening runs in a typical HTS setting were completed to evaluate the run-to-run screening variability. These multiple tests with 2 assay formats allow an unambiguous comparison between the discrepancies of different assay formats and the effects of the variability of assay and screening measurements on the screening outcomes. The results provide further support that the choice of assay format or technology is a critical factor in HTS assay development.

The ability to identify active compounds (³hits²) from large chemical libraries accurately and rapidly has been the ultimate goal in developing high-throughput screening (HTS) assays. The ability to identify hits from a particular HTS assay depends largely on the suitability or quality of the assay used in the screening. The criteria or parameters for evaluating the ³suitability² of an HTS assay for hit identification are not well defined and hence it still remains difficult to compare the quality of assays directly. In this report, a screening window coefficient, called ³Z-factor,² is defined. This coefficient is reflective of both the assay signal dynamic range and the data variation associated with the signal measurements, and therefore is suitable for assay quality assessment. The Z-factor is a dimensionless, simple statistical characteristic for each HTS assay. The Z-factor provides a useful tool for comparison and evaluation of the quality of assays, and can be utilized in assay optimization and validation.

Combinatorial chemistry has opened a new realm of chemical entities in the search for novel therapeutics. Combinatorial chemistry is currently adding hundreds of thousands of compounds to similar numbers available from years of synthesis by medicinal chemistry. It is not unreasonable to expect that over the next several years, nearly a million compounds will be available for screening against each therapeutic target. The number of potential targets will also be increasing with the advances in genomics. With the increasing number of compounds to be screened against an increasing number of targets, it is becoming increasingly difficult and costly to obtain the required amounts of key biological material needed to screen these compounds. One obvious solution is to miniaturize the assays so that the biological reagent supply doesn't need to increase. To this end, we have developed an ultra-high throughput screening system comprised of a new plate design (9600-well), detection system, and liquid handling syste...