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Diversity, screening

Valler MJ, Green DVS. Diversity screening versus focussed screening in drug discovery. Drug Discov Today 2000 5 286-93. [Pg.206]

Amplified Luminescence Proximity Homogeneous Assay (AlphaS-creen ) technology have been reported [50,51]. With an HTS methodology in hand and orthogonal assays previously developed [47-49], nonpeptide antagonists of methyl lysine binding should appear from diversity screening approaches in the near future. [Pg.337]

Valler, M.J. and Green, D. Diversity screening versus focused screening in drug discovery. Drug Disc. Today 2000, 5, 286-293. [Pg.313]

Acid chloride handles on various templates 49-51 were acylated with equimolar mixtures of 19 different appropriately protected amines to prepare non-peptidic polyamide libraries. The three templates possess different types of symmetry and offer varying degrees of 3D spatial diversity. Screening for trypsin inhibition employing a chromogenic assay identified the xanthane analog 52 (K, = 9.4 pM) as a moderately active, but structurally novel, inhibitor of trypsin (see Fig. 7) [37]. [Pg.86]

The preparation of prefractionated natural product libraries for drug discovery can be made more efficient by automation. Automation reduces manpower requirements, improves efficiency and increases productivity. In addition, human errors are reduced and reproducibility is improved. Overall, automation increases throughput and can produce larger and more diverse screening libraries. [Pg.277]

Nurmi, T. Lampi, A. Nystrdm, L. Turunen, M. Piironen, V. 2010. Effects of genotype and environment on steryl femlates in wheat and rye in the HEALTH-GRAIN diversity screen. J. Agric. Food Chem. 58 9332-9340. [Pg.348]

Fig. 26 Kohonen maps of the diverse screening libraries. Gray levels indicate the population of a cell. Light gray cells contain only one compound black cells indicate the highest population for each map (a 141, b 12, c 8). The chemical space on the maps is defined by a) fingerprints, b) substmcture descriptors, and c) autocorrelation coefficients (from three-dimensional structure). Fig. 26 Kohonen maps of the diverse screening libraries. Gray levels indicate the population of a cell. Light gray cells contain only one compound black cells indicate the highest population for each map (a 141, b 12, c 8). The chemical space on the maps is defined by a) fingerprints, b) substmcture descriptors, and c) autocorrelation coefficients (from three-dimensional structure).
Videlock, E. J., Chung, V. K., Mohan, M. A., Strok, T. M., Austin, D. J. (2004). Two-dimensional diversity screening human cDNA phage display libraries with a random diversity probe for the display cloning of phosphotyrosine binding domains. [Pg.90]

Tlie complementarity of diversity and focussed approaches can be seen in clinical practice. HIV protease inliibitors are all from the rational, stractuie-based design school of dmg discovery, whereas the non-nucleoside HIV reverse transcriptase inhibitors have almost all originated from diversity screening. As combination therapy is the best way to treat HIV infection, tliis is evidence of the benefits of complementai y technologies to fight disease. [Pg.118]

Large libraries 10 members Lots of rule of five violations Many solid phase syntheses Often multiple compounds per well Minimal purification the norm Primary use diversity screening Mostly called combinatorial libraries Smaller libraries, mostly <10 members Mostly rule of five compliant Many solution phase syntheses Usually one compound per well Extensive purification common Primary use property optimization Mostly called parallel synthesis libraries... [Pg.246]

Bacterial diversity is estimated to cover more than four million different taxa based on 16S RNA gene differences (Curtis, Sloan, Scannell, 2(X)2) and reflects adaptation to a wide variety of environments, including such diverse habitats as water, air, soil, the human body, food, etc. Each species is comprised of a multitude of individual strains with unique properties. Due to this large diversity, screening of the total microbial population for any desired phenotype or property is unrealistic, and so screening is normally limited to a collection of bacteria obtained fiom certain relevant habitats. Bioremediation applications could start with a collection of bacteria isolated from soil dairy tqtplications, a collection derived from environmoits were milk is present, and so on. In addition, the ability to isolate and identify individual bacterial strains with specific desirable properties requires not only microbiological expertise but also highly automated processes. [Pg.229]

Li L., Shewry P.R., Ward J.L. PhenoUc acids in wheat varieties in the healthgrain diversity screen. Journal of Agricultural and Food Chemistry, 56 9732-9739 (2008). [Pg.1071]

Nystrom L., Lampi A.-M., Andersson AA.M., Kamal-Eldin A., Gebruers K., Courtin C.M., Delcour J. A., li L., Ward J.L., Fras A., Boros D., Rakszegi M., Bedo Z., Shewry P.R., Piironen V. Phytochemicals and dietary fiber components in rye varieties in the healthgrain diversity screen. Journal of Agricultural and Food Chemistry, 56 9758 9766 (2008). [Pg.1075]


See other pages where Diversity, screening is mentioned: [Pg.6]    [Pg.28]    [Pg.337]    [Pg.30]    [Pg.216]    [Pg.355]    [Pg.78]    [Pg.47]    [Pg.175]    [Pg.469]    [Pg.278]    [Pg.264]    [Pg.308]    [Pg.324]    [Pg.337]    [Pg.1188]    [Pg.264]    [Pg.141]    [Pg.1727]   
See also in sourсe #XX -- [ Pg.75 ]




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