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Compound screen

The drug discovery process can be divided into four subsets acquisition of chemical drug candidates, pharmacodynamic testing of large numbers of compounds (screening), and the optimization of pharmacokinetic and pharmaceutical properties. [Pg.172]

Test a substantial number of compounds. VS methods generally offer enrichment, but most ranked hit lists contain a significant proportion of false positives. Hitlists should be scaled to 1-5% of the compounds in the virtual library screened. In many real world situations, the computational chemist is being asked to choose lists of compounds representing 0.1% or less of the compounds screened (e.g., the best 100 of 100,000 compounds). Typically, VS methods have been validated considering 1%, 5%, or 10% of the total number of compounds in the VS collection. By following up on more compounds, one increases the probability of impact from VS. [Pg.117]

Uyeki 1981 Chen etal. 1982). Diazoxon, an oxygen analog of diazinon, did produce SCE at 304 mg/kg, but was 3 to 10 times less effective than oxygen analogues of other organophosphorus compounds screened (Nishio and Uyeki 1981). [Pg.978]

The involvement of several tyrosine kinases in various cancers requires efficient screening methodologies for the inhibitory compounds. Screening is divided into three steps (1) primary screening against the pure isolated PTK in a cell-free system. The objective is always an ELISA format. The compounds are screened against a battery of PTKs and Ser/Ther kinases in order that the pattern of selectivity can be established quickly [2]. [Pg.9]

The drug discovery and development processes are time consuming and costly endeavors. It has been reported that on average it takes 10 to 15 years and costs more than 800 million to bring a molecule from discovery to market.12 Compounds fail for various reasons. One that accounts for a reported 40% of failures in clinical trials is poor pharmacokinetics.3 In an effort to improve the number of compounds that exhibit optimal absorption, distribution, metabolism, elimination (ADME), and pharmacokinetic (PK) properties and reach development, drug metabolism and pharmacokinetic scientists continually implement new technologies and compound screening approaches. [Pg.141]

Bunce, N. J., Petrulis, J. R. (1999). Dioxin-like compounds screening assays. In Meyers R. A. (Ed.). Encyclopedia of Environmental Pollution and Cleanup, Wiley, NY, pp 440-449... [Pg.425]

Order Material Group of Compound Screening Method Sample Preparation Method... [Pg.314]

Passive controls, process controls, 97-98 Paterson, New Jersey incident, 160-161 Peroxide formers, screening methods, 46-48 Physical processing chemical reactivity hazard, 8-10,11 screening methods, 36, 41—42 worked examples, 128,129 Polymerizing compounds, screening methods, 55... [Pg.198]

Samples that are advanced to the next level of the screen are selected on the same basis as the calibration those inhibiting at least 80% of the tumor cells within two to three standard deviations from the mean for a one-run set. Figure 8.4 shows a typical "scatter plot" for 3680 compounds tested in a run set. The mean inhibition for all the compounds screened was 7.7%. The horizontal bars represent the standard deviations above and below that mean. The 105 compounds deemed "active" (shown by the bold bar in the... [Pg.153]

Fig. 6.7 Visualization of HTS data using Spotfire decision site [48]. Shown are a table of data (top left), a bar chart (top right, number of compounds screened from each plate), 3-D scatterplot (bottom left, percent inhibition in the primary assay versus percent inhibition in the confirmation assay versus percent purity), and a plate map (bottom right, well versus Column arranged by plate number). In the 3-D scatterplot and the plate map, the points are colored by plate number and sized by percent inhibition in the primary assay. Fig. 6.7 Visualization of HTS data using Spotfire decision site [48]. Shown are a table of data (top left), a bar chart (top right, number of compounds screened from each plate), 3-D scatterplot (bottom left, percent inhibition in the primary assay versus percent inhibition in the confirmation assay versus percent purity), and a plate map (bottom right, well versus Column arranged by plate number). In the 3-D scatterplot and the plate map, the points are colored by plate number and sized by percent inhibition in the primary assay.
We tentatively identified the oral-active compounds (screened by the GC-O) by... [Pg.109]

Schuffenhauer A, Popov M, Schopfer U, et al. (2004) Molecular diversity management strategies for building diverse and focused lead discovery compound screening collections. Comb. Chem. High Throughput Screen. 7 771-781. [Pg.34]

Mestres J, Veeneman GH. (2003) Identification of latent hits in compound screening collections. /. Med. Chem. 46 3441-3444. [Pg.36]


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Application Examples for Synthetic Compound Screening

Assay Considerations for Compound Library Screening

Chiral compounds screening

Compound Screening Methods

Compound collection screening

Compound decks screening

Compound library screening

Compound properties permeability screens

Compound virtual screening

Dynamical screening of core holes intermetallic compounds

Generation of New Screening Compounds

High-throughput Screening of Hormone-sensitive Lipase and Subsequent Computer-assisted Compound Optimization

Large compound collections, virtual screening

Lead Generation Based on Compound Collection Screening

Lead compounds electronic screening

Lead compounds extensive screening

Lead compounds random screening

Lead compounds screening

Lead compounds systematic screening

Lead compounds, small molecule drug screening

Mass screening compound libraries

Pharmacophore-based screening of compound libraries

Polymerizing compounds, screening

Polymerizing compounds, screening methods

Random screening of compound libraries

Screen, inactive compounds

Screening automation compound screen platforms

Screening compounds,

Screening of Environmental Mutagenic Compounds

Screening of compound

Sources of Compounds for Biological Screening

Virtual Screening Based on Multiple Query Compounds

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