Measure, mine, model, and manipulate: the future for HTS and chemoinformatics?
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Biomedical subjects
Publications and source records attributed to Christian N Parker.
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Elongation Factor P (EF-P) is an essential component of bacterial protein synthesis, enhancing the rate of translation by facilitating the addition of amino acids to the growing peptide chain. Using purified Staphylococcus aureus EF-P and a reconstituted Escherichia coli ribosomal system, an assay monitoring the addition of radiolabeled N-formyl methionine to biotinylated puromycin was developed. Reaction products were captured with streptavidin-coated scintillation proximity assay (SPA) beads and quantified by scintillation counting. Data from the assay were used to create a kinetic model of the reaction scheme. In this model, EF-P binding to the ribosome essentially doubled the rate of the ribosomal peptidyl transferase reaction. As described here, EF-P bound to the ribosomes with an apparent K(a) of 0.75 microM, and the substrates N-fMet-tRNA and biotinylated puromycin had apparent K(m)s of 19 microM and 0.5 microM, respectively. The assay was shown to be sensitive to a number of antibiotics known to target ribosomal peptide bond synthesis, such as chloramphenicol and puromycin, but not inhibitors that target other stages of protein synthesis, such as fusidic acid or thiostrepton.
Human carbonic anhydrase II (CA II), a zinc metalloenzyme, was screened against 960 structurally diverse, biologically active small molecules. The assay monitored CA II esterase activity against the substrate 4-nitrophenyl acetate in a format allowing high-throughput screening. The assay proved to be robust and reproducible with a hit rate of approximately 2%. Potential hits were further characterized by determining their IC(50) and K(d) values and tested for nonspecific, promiscuous inhibition. Three known sulfonamide CA inhibitors were identified: acetazolamide, methazolamide, and celecoxib. Other hits were also found, including diuretics and antibiotics not previously identified as CA inhibitors, for example, furosemide and halazone. These results confirm that many sulfonamide drugs have CA inhibitory properties but also that not all sulfonamides are CA inhibitors. Thus many, but not all, sulfonamide drugs appear to interact with CA II and may target other CA isozymes. The screen also yielded several novel classes of nonsulfonamide inhibitors, including merbromin, thioxolone, and tannic acid. Although these compounds may function by some nonspecific mechanism (merbromin and tannic acid), at least 1 (thioxolone) appears to represent a genuine CA inhibitor. Thus, this study yielded a number of potentially new classes of CA inhibitors and preliminary experiments to characterize their mechanism of action.
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The objective of this chapter is to summarize and evaluate some of the most common chemoinformatic methods that are applied to the analysis of high-throughput-screening data. The chapter will briefly describe current high-throughput-screening practices and will stress how the major constraint on the application of chemoinformatics is often the quality of high-throughput-screening data. Discussion of the NCI dataset and how it differs from most high-throughput-screening datasets will be made to highlight this point.
Antimicrobial compounds incorporating oxazolidinone and quinolone pharmacophore substructures have been synthesized and evaluated. Representative analogues 2, 5, and 6 display an improved potency versus linezolid against gram-positive and fastidious gram-negative pathogens. The compounds are also active against linezolid- and ciprofloxacin-resistant Staphylococcus aureus and Enterococcus faecium strains. The MOA for these new antimicrobials is consistent with a combination of protein synthesis and gyrase A/topoisomerase IV inhibition, with a structure-dependent degree of the contribution from each inhibitory mechanism.
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.
A capillary electrophoresis-based enzyme assay for UDP-N-acetylglucosamine enolpyruvyl transferase (MurA) is described. This method, based on UV detection, provides baseline separation of one of the reaction products, enolpyruvyluridine 5'-diphospho-N-acetylglucosamine (EP-UDP-GlcNAc), from substrates phosphoenolpyruvate (PEP) and uridine 5'-diphospho-N-acetylglucosamine (UDP-GlcNAc) within 4 min. The other product, phosphate, is not detectable by UV at 200 nm. Quantitation of individual components, substrates or product, can be accomplished based on the separated peaks. This methodology was used to determine the Michaelis constant, Km, and product formation rate constant, Kcat, for MurA. Additionally, the CE method was used to evaluate the inhibition effects on MurA using one specific compound as an example. By following similar procedures, the apparent Km values in the presence of different inhibitor concentrations were determined. The inhibition constant, Ki, can be determined from these apparent Km values. In addition, this CE method can be used to study the inhibition mechanism. The principle of this approach is generally applicable to other enzyme studies.
Fungal cell wall synthesis is essential for viability, requiring the activity of genes involved in environmental sensing, precursor synthesis, transport, secretion, and assembly. This multitude of potential targets, the availability of known agents targeting this pathway, and the unique nature of fungal cell wall synthesis make this pathway an appealing target for drug discovery. Here we describe the adaptation of an assay monitoring cell wall synthesis for high-throughput screening. The assay requires fungal cell growth, in the presence of the test compound, for 3 h before the cells are subjected to osmotic shock in the presence of a dye that stains DNA. Miniaturization of the assay to a 384-well plate format and removing a mechanical transfer led to subtle changes in the assay characteristics. Validation of the assay with a library of known pharmacologically active agents has identified a number of different classes of compounds that are active in this assay, causing aberrant cell wall morphology and in many cases the inhibition of fungal cell growth.
The number of compounds available for evaluation as part of the drug discovery process continues to increase. These compounds may exist physically or be stored electronically allowing screening by either actual or virtual means. This growing number of compounds has generated an increasing need for effective strategies to direct screening efforts. Initial efforts toward this goal led to the development of methods to select diverse sets of compounds for screening, methods to cluster actives into related groups of compounds, and tools to select compounds similar to actives of interest for further screening. In this work we extend these earlier efforts to exploit information about inactive compounds to help make rational decisions about which sets of compounds to include as part of a continuing screening campaign, or as part of a focused follow-up effort. This method uses the information from inactive compounds to "shave" off or deprioritize compounds similar to inactives from further consideration. This methodology can be used in two ways: first, to provide a rational means of deciding when sufficient compounds containing certain structural features have been tested and second as a tool to enhance similarity searching around known actives. Similarity searching is improved by deprioritizing compounds predicted to be inactive, due to the presence of structural features associated with inactivity.
A set of compounds consisting of a new and diverse collection of biarylamides was examined using quantitative structure-activity relationship techniques for the purpose of developing a model to describe inhibition of gram-positive bacterial growth (minimum inhibition concentration). The model was sought in order to obtain insight for designing new molecules. A detailed analysis of the underlying structure-activity relationship helped provide insight concerning which structural features of the molecules modulated the activity of the compounds against gram-positive organisms.