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Screening structure-based

Structure-based clustering is used to group related compounds for the purpose of HTS data analysis, identification of SAR series, and detection of potential outliers (Engels et al., 2002). In one example, researchers at GNF reported a statistical approach to dynamically score each scaffold family (obtained by prior clustering of screened structures) based on family members HTS activities. This method identifies compounds that share structural similarities and similarly high HTS activities it yielded greatly improved confirmation rates compared to using a static (scaffold-independent) activity cut-off (Yan et al., 2005). [Pg.253]

Both ligand- and structure-based methods can be applied in virtual screening. An example of a workflow chart for virtual screening is depicted in Figure 10,4-3. [Pg.604]

Table 10.4-5. Recent successes of structure-based virtual screening approaches. Table 10.4-5. Recent successes of structure-based virtual screening approaches.
Barril X, Hubbard RE, Morley SD. Virtual screening in structure-based drug discovery. Mini Rev Med Chem. 2004 4 779-91. [Pg.297]

Schulz-Gasch T, Stahl M. Binding site characteristics in structure-based virtual screening evaluation of current docking tools. J Mol Model 2003 9 47-57. [Pg.416]

Good A. Structure-based virtual screening protocols. Curr Opin Drug Discov Dev 2001 4 301-7. [Pg.417]

Waszkowycz B. Structure-based approaches to drug design and virtual screening. Curr Opin Drug Discov Dev 2002 5 407-13. [Pg.417]

Lyne PD. Structure-based virtual screening an overview. Drug Discov Today 2002 7 1047-55. [Pg.417]

Stahl M. Structure-based library design. In Bohm HJ, Schneider G, editors. Virtual screening for bioactive molecules (Vol. 10 of Mannhold R, Kubinyi H, Timmerman H, editors. Methods and principles in medicinal chemistry). Wein-heim Wiley-VCH, 2000, pp. 229-64. [Pg.420]

Wyss PC, Gerber P, Hartman PG, Hubschwerlen C, Locher H, Marty HP, Stahl M. Novel dihydrofolate reductase inhibitors. Structure-based versus diversity-based library design and high-throughput synthesis and screening. J Med Chem 2003 46 2304-12. [Pg.421]

Brenk R, Meyer EA, Reuter K, Stubbs MT, Garcia GA, Diederich E, Klebe G. Crystallographic study of inhibitors of tRNA-guanine transglycosylase snggests a new structure-based pharmacophore for virtual screening. J Mol Biol 2004 338 55-75. [Pg.422]

G, Jiang H, Chen K. Structure-based discovery of potassium channel blockers from natural products virtual screening and electrophysiological assay testing. Chem Biol 2003 10 1103-13. [Pg.423]

Filikov AV, Mohan V, Vickers TA, Griffey RH, Cook PD, Abagyan RA, James TL. Identification of ligands for RNA targets via structure-based virtual screening HIV-1 TAR. / Comput Aided Mol Design 2000 14 593-610. [Pg.423]

Keywords VS, Virtual Screening, Lead discovery, lead, HTS, Pharmacophore-Based, Structure-Based, Fragment-based, Ligand-based, Docking, Scoring, hybrid workflows, VS strategy, Benchmarking VS... [Pg.85]

PF1BVS Pharmacophore-based virtual screening SBVS (Protein) Structure-based virtual screening... [Pg.86]


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See also in sourсe #XX -- [ Pg.83 ]




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