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A virtual high throughput screen for high affinity cytochrome P450cam substrates. Implications for in silico prediction of drug metabolism.

Structure-based virtual screening techniques require reliable scoring functions to discriminate potential substrates effectively. In this study we compared the performance of GOLD, PMF, DOCK and FlexX scoring functions in FlexX flexible docking to cytochrome P450cam binding site. Crystal structures of protein-substrate complexes were most effectively reproduced by the FlexX/PMF method. On the other hand, the FlexX/GOLD approach provided the best correlation between experimental binding constants and predicted scores. Binding modes selected by the FlexX/PMF approach were rescored by GOLD to obtain a reliable measure of binding energetics. The effectiveness of the FlexX/PMF/GOLD method was demonstrated by the correct classification of 32 out of the 33 experimentally studied compounds and also in a virtual HTS test on a library of 10,000 compounds. Although almost all the available functions were developed to be general, our study on cytochrome P450cam substrates suggests that careful selection or even tailoring the scoring function might increase the prediction power of virtual screens significantly. The FlexX/PMF/GOLD methodology was tested on cytochrome P450 3A4 substrates and inhibitors. This preliminary study revealed that the combined function was able to recognise 334 out of the 345 compounds bound to 3A4.

Binding Sites↗

High-throughput sample handling and data collection at synchrotrons: embedding the ESRF into the high-throughput gene-to-structure pipeline.

An automatic data-collection system has been implemented and installed on seven insertion-device beamlines and a bending-magnet beamline at the ESRF (European Synchrotron Radiation Facility) as part of the SPINE (Structural Proteomics In Europe) development of an automated structure-determination pipeline. The system allows remote interaction with beamline-control systems and automatic sample mounting, alignment, characterization, data collection and processing. Reports of all actions taken are available for inspection via database modules and web services.

Data Collection↗

One-minute full-gradient HPLC/UV/ELSD/MS analysis to support high-throughput parallel synthesis.

High-throughput parallel synthesis of library compounds for early drug discovery requires high-throughput analytical methods to confirm synthesis, identify reaction products, and determine purity. An ultrafast 1.0-min HPLC/UV/ELSD/MS method was developed and compared to our standard 2.5- and 5.0-min methods in order to determine if the faster method was appropriate to evaluate compound synthesis and determine purity. In addition to using standard test mixtures, a 400-member library produced by high-throughput parallel synthesis was used for comparing the various methods. Mass spectrometric detection was used for compound identification, while UV and ELSD data offered purity assessment. Compared to our longer separations, chromatographic separation achieved using the 1.0-min method was sufficient for compound evaluation and purity assessment. This ultrafast 1.0-min HPLC/UV/ELSD/MS method is expected to increase analytical throughput tremendously, provide important information faster, and reduce the overall cycle time from synthesis to screening.

Journal Article↗

Novel miniaturized systems in high-throughput screening.

High-throughput screening (HTS) using high-density microplates is the primary method for the discovery of novel lead candidate molecules. However, new strategies that eschew 2D microplate technology, including technologies that enable mass screening of targets against large combinatorial libraries, have the potential to greatly increase throughput and decrease unit cost. This review presents an overview of state-of-the-art microplate-based HTS technology and includes a discussion of emerging miniaturized systems for HTS. We focus on new methods of encoding combinatorial libraries that promise throughputs of as many as 100,000 compounds per second.

Combinatorial Chemistry Techniques↗

High-throughput molecular profiling of high-grade astrocytomas: the utility of fluorescence in situ hybridization on tissue microarrays (TMA-FISH).

Due to recent biological and technical advances, the list of potentially useful candidate genes is rapidly expanding in the study of brain tumors. However, traditional methods of screening individual genes in individual samples are slow and tedious, often with consumption of precious resources after only a few experiments. This study evaluates the feasibility of high-throughput molecular analysis using fluorescence in situ hybridization (FISH) on glioma tissue microarrays (TMA). A single microarray paraffin block was constructed using 65 WHO grade III and IV astrocytomas, sampled in duplicate with 0.6-mm-diameter punch cores. FISH was used to detect common alterations, such as EGFR amplification, chromosome 7, 9, and 10 aneusomies and deletions of 1p, 19q, PTEN, DMBT1, and p16. Of 585 hybridization sets, 508 (87%) yielded interpretable data, with hybridization failure in 33 (5.5%) and dislodged tissue in 44 sets (7.5%), respectively. Glioblastomas harbored significantly more alterations than anaplastic astrocytomas, with the overall frequencies of alterations similar to those reported using other techniques. The overall concordance rate between paired tumor core samples was 93%. We conclude that TMA-FISH is an efficient and reliable method for detecting molecular alterations in high-grade astrocytomas.

Agglutinins↗

[Assay in high throughput screening].

HTS (High Throughput Screening) has been put into practice in recent years. HTS is aiming to discover lead compounds for medicinal drugs. High efficiency must be achieved in all the processes including sample preparation, assay procedure, automation and data management. This review will focus on the aspects concerned with the assay technology and the efficiency in HTS. One of the major trends in HTS is assay miniaturization using high-density microplates with 384 and 1536 wells. This allows us to increase the throughput and to decrease the cost. The so-called "mix and measure" or "homogeneous" assay system, which has no separation steps such as washing or filtration, is effective for this purpose. The homogeneous assays, such as scintillation proximity assay (SPA), fluorescence energy transfer (HTRF, LANCE) and fluorescence polarization (FP), are frequently used. The reporter gene assay or the cell proliferation assay can be adapted for the homogeneous assay using high-density plates. In addition, HTS measuring the intracellular Ca2+ influx is also possible using a CCD Imager. The assay quality as well as the efficiency is also important especially in HTS. The Z'-factor provides a good tool for evaluating the quality of assays.

Biological Assay↗

Development of a high throughput in vitro toxicity screen predictive of high acute in vivo toxic potential.

At an early stage of drug discovery high throughput screens are an invaluable tool to de-select compounds with undesirable properties. A high throughout in vitro toxicity screen has been developed and validated to identify compounds that have a high potential to be acutely toxic in vivo. This screen is based on treating Chinese hamster ovary (CHO) cells with test compounds for 24 h and then determining the degree of cytotoxicity by the reduction of Resazurin. Twenty-six structurally unrelated compounds were chosen that spanned a range of acute LD(50) values and mechanisms of toxicity. The acute LD(50) values (intraperitoneal and intravenous routes) from rat and mouse were taken from the RTECS database. Experimentally derived in vitro IC(35) results were compared to the 'most toxic' (lowest) LD(50) values for each compound. The resulting correlation was statistically significant (r=0.8475). However, due to the scatter of the data points, it was considered not appropriate to rank compounds according to their degree of in vivo toxicity on the basis of the in vitro result. However, by defining cut-off concentrations for both the in vivo (LD(50)) and the in vitro (IC(35)) values it was possible, using the in vitro result (IC(35) <10 microM), to identify compounds that had a high potential to be acutely toxic in vivo ('most toxic' LD(50) <25 micromol/kg). Further development led to a high throughput screen capable of giving a 'Yes', 'No' or 'Borderline' classification as to whether a compound has a high acute in vivo toxic potential. This screen is highly specific (no false positive classifications) and has a sensitivity of approximately 80%. This is deemed acceptable for a first tier toxicity screen at an early stage in the drug discovery process. Transfer of this screen from GlaxoSmithKline UK to sites in Italy, Spain and the USA resulted in very similar findings indicating the inter-laboratory robustness of this screen and therefore the ability to compare results across the GlaxoSmithKline sites.

Animal Testing Alternatives↗

High-throughput heterogeneous catalytic science.

High-throughput experimentation in heterogeneous catalysis has recently experienced nearly exponential growth. Initial qualitative screening has evolved into quantitative high-throughput experimentation, characterization, and analysis. This allows high-throughput catalysis now to rise above simple screening to the level of fundamental understanding of reaction mechanisms, which will lead on a faster path to the Holy Grail of catalysis: rational catalyst design.

Journal Article↗

Technological advances in high-throughput screening.

High-throughput screening (HTS) is the process of testing a large number of diverse chemical structures against disease targets to identify 'hits'. Compared to traditional drug screening methods, HTS is characterized by its simplicity, rapidness, low cost, and high efficiency, taking the ligand-target interactions as the principle, as well as leading to a higher information harvest. As a multidisciplinary field, HTS involves an automated operation-platform, highly sensitive testing system, specific screening model (in vitro), an abundant components library, and a data acquisition and processing system. Various technologies, especially the novel technologies such as fluorescence, nuclear-magnetic resonance, affinity chromatography, surface plasmon resonance, and DNA microarray, are now available, and the screening of more than 100,000 samples per day is already possible. Fluorescence-based assays include the scintillation proximity assay, time-resolved energy transfer, fluorescence anisotropy, fluorescence correlation spectroscopy, and fluorescence fluctuation spectroscopy. Fluorescence-based techniques are likely to be among the most important detection approaches used for HTS due to their high sensitivity and amenability to automation, giving the industry-wide drive to simplify, miniaturize, and speed up assays. The application of NMR technology to HTS is another recent trend in drug research. One advantage afforded by NMR technology is that it can provide direct information on the affinity of the screening compounds and the binding location of protein. The structure-activity relationship acquired from NMR analysis can sharpen the library design, which will be very important in furnishing HTS with well-defined drug candidates. Affinity chromatography used for library screening will provide the information on the fundamental processes of drug action, such as absorption, distribution, excretion, and receptor activation; also the eluting curve can give directly the possibility of candidate drug. SPR can measure the quantity of a complex formed between two molecules in real-time without the need for fluorescent or radioisotopic labels. SPR is capable of characterizing unmodified biopharmaceuticals, studying the interaction of drug candidates with macromolecular targets, and identifying binding partners during ligand fishing experiments. DNA microarrays can be used in HTS be used to further investigate the expression of biological targets associated with human disease, which then opens new and exciting opportunities for drug discovery. Without doubt, the addition of new technologies will further increase the application of HTS in drug screening and its related fields.

Animals↗

Improved statistical methods for hit selection in high-throughput screening.

High-throughput screening (HTS) plays a central role in modern drug discovery, allowing the rapid screening of large compound collections against a variety of putative drug targets. HTS is an industrial-scale process, relying on sophisticated automation, control, and state-of-the art detection technologies to organize, test, and measure hundreds of thousands to millions of compounds in nano- to microliter volumes. Despite this high technology, hit selection for HTS is still typically done using simple data analysis and basic statistical methods. The authors discuss in this article some shortcomings of these methods and present alternatives based on modern methods of statistical data analysis. Most important, they describe and show numerous real examples from the biologist-friendly Stat Server HTS application (SHS), a custom-developed software tool built on the commercially available S-PLUS and StatServer statistical analysis and server software. This system remotely processes HTS data using powerful and sophisticated statistical methodology but insulates users from the technical details by outputting results in a variety of readily interpretable graphs and tables.

Algorithms↗

ESTAnnotator: A tool for high throughput EST annotation.

In high throughput sequence analysis, it is often necessary to combine the results of contemporary bioinformatics tools, because no individual tool alone computes all the requested information. ESTAnnotator is a tool for the high throughput annotation of expressed sequence tags (ESTs) by automatically running a collection of bioinformatics applications. In the first step, a quality check is performed and repeats, vector parts and low quality sequences are masked. Then successive steps of database searching and EST clustering are performed. Already known transcripts present within mRNA and genomic DNA reference databases are identified. Subsequently, tools for the clustering of anonymous ESTs, and for further database searches at the protein level, are applied. Finally, the outputs of each individual tool are gathered and the relevant results presented in a descriptive summary. ESTAnnotator was already successfully applied for the systematic identification and characterisation of novel human genes involved in cartilage/bone formation, growth, differentiation and homeostasis. ESTAnnotator is available at http://genome.dkfz-heidelberg.de, contact: genome@dkfz.de.

Cartilage↗

Complex phenotypic assays in high-throughput screening.

High-throughput screening (HTS), systematically testing thousands of small molecules to find candidates for lead optimization, primarily involves exposure of purified proteins to arrayed collections of small molecules. More complex phenotypic assays, such as cell-based or whole-organism assays, traditionally have flanked HTS, preceding it to validate new therapeutic targets, and following it to characterize new lead compounds in cellular contexts. Recently, however, cell- and organism-based phenotypic assays have increasingly been adopted as a primary screening platform for annotating small molecules.

Combinatorial Chemistry Techniques↗

A common mechanism underlying promiscuous inhibitors from virtual and high-throughput screening.

High-throughput and virtual screening are widely used to discover novel leads for drug design. On examination, many screening hits appear non-drug-like: they act noncompetitively, show little relationship between structure and activity, and have poor selectivity. Attempts to develop these peculiar molecules into viable leads are often futile, and much time can be wasted on the characterization of these "phony" hits. Despite their common occurrence, the mechanism of action of these promiscuous molecules remains unknown. To investigate this problem, 45 diverse screening hits were studied. Fifteen of these were previously reported as inhibitors of various receptors, including beta-lactamase, malarial protease, dihydrofolate reductase, HIV Tar RNA, thymidylate synthase, kinesin, insulin receptor, tyrosine kinases, farnesyltransferase, gyrase, prions, triosephosphate isomerase, nitric oxide synthase, phosphoinositide 3-kinase, and integrase; 30 were from an in-house screening library of a major pharmaceutical company. In addition to their original targets, 35 of these 45 compounds were shown to inhibit several unrelated model enzymes. These 35 screening hits included compounds, such as fullerenes, dyes, and quercetin, that have repeatedly shown activity against diverse targets. When tested against the model enzymes, the compounds showed time-dependent but reversible inhibition that was dramatically attenuated by albumin, guanidinium, or urea. Surprisingly, increasing the concentration of the model enzymes 10-fold largely eliminated inhibition, despite a 1000-fold excess of inhibitor; a well-behaved competitive inhibitor did not show this behavior. One model to explain these observations was that the active form of the promiscuous inhibitors was an aggregate of many individual molecules. To test this hypothesis, light scattering and electron microscopy experiments were performed. The nonspecific inhibitors were observed to form particles of 30-400 nm diameter by both techniques. In control experiments, a well-behaved competitive inhibitor and an inactive dye-like molecule were not observed to form aggregates. Consistent with the hypothesis that the aggregates are the inhibitory species, the particle size and IC(50) values of the promiscuous inhibitors varied monotonically with ionic strength; a competitive inhibitor was unaffected by changes in ionic strength. Unexpectedly, aggregate formation appears to explain the activity of many nonspecific inhibitors and may account for the activity of many promiscuous screening hits. Molecules acting via this mechanism may be widespread in drug discovery screening databases. Recognition of these compounds may improve screening results in many areas of pharmaceutical interest.

Dialysis↗

Rapid 2,2'-bicinchoninic-based xylanase assay compatible with high throughput screening.

High-throughput screening requires simple assays that give reliable quantitative results. A microplate assay was developed for reducing sugar analysis that uses a 2,2'-bicinchoninic-based protein reagent. Endo-1,4-beta-D-xylanase activity against oat spelt xylan was detected at activities of 0.002 to 0.011 IU ml(-1). The assay is linear for sugar concentrations from 0 to 86 microg ml(-1) and can also be used to assay protein concentrations (0 to 143 microg ml(-1)) on the same plate. A variety of temperatures and pH conditions can be used and, after incubation, the assay requires only one detection reagent and one heating step.

Carbohydrates↗

Integration of virtual and high-throughput screening.

High-throughput and virtual screening are important components of modern drug discovery research. Typically, these screening technologies are considered distinct approaches, as one is experimental and the other is theoretical in nature. However, given their similar tasks and goals, these approaches are much more complementary to each other than often thought. Various statistical, informatics and filtering methods have recently been introduced to foster the integration of experimental and in silico screening and maximize their output in drug discovery. Although many of these ideas and efforts have not yet proceeded much beyond the conceptual level, there are several success stories and good indications that early-stage drug discovery will benefit greatly from a more unified and knowledge-based approach to biological screening, despite the many technical advances towards even higher throughput that are made in the screening arena.

Drug Design↗

Multiplexing nuclear receptors for agonist identification in a cell-based reporter gene high-throughput screen.

High-throughput screening (HTS) has become an essential part of the drug discovery process. Due to the rising requirements for both data quality and quantity, along with increased screening cost and the demand to shorten the time for lead identification, increasing throughput and cost-effectiveness has become a necessity in the hit identification process. The authors present a multiplexed HTS for 2 nuclear receptors, the farnesoid X-activated receptor and the peroxisome proliferator-activated receptor delta in a viable cell-based reporter gene assay. The 2 nuclear receptors were individually transfected into human hepatoma cells, and the transient transfected cell lines were pooled for the multiplexed screen. Hits identified by the multiplexed screen are similar to those identified by the individual receptor screens. Furthermore, the multiplexed screen provides selectivity information if ligands selective for one and not the other receptor are one of the hit criteria. The data demonstrate that multiplexing nuclear receptors can be a simple, efficient, cost-effective, and reliable alternative to traditional HTS of individual targets without compromising data quality.

Cell Line, Tumor↗

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↗