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MeSH Review

Libraries, Digital

 
 
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High impact information on Libraries, Digital

 

Biological context of Libraries, Digital

  • Computational tools and a systematic approach described in detail here can assess the "druggability" of an SCF ligase before the investment of effort in high-throughput screening (HTS), structure-based drug design (SBBD), or virtual library screening (VLS) [6].
 

Associations of Libraries, Digital with chemical compounds

  • Finally, we show that our method discriminates between a peptide library and virtual libraries built on benzodiazepine and tetrahydroisoquinolinone scaffolds [7].
  • It represents a useful tool for constraining the size of virtual libraries that will help accelerate the development of new serine protease active drugs [8].
  • In addition, the models were employed to examine a virtual library of displacers based on modifications of neomycin to provide further insight into displacer design [9].
  • A virtual library of functional monomers was assigned and screened against the target molecule, creatinine, using molecular modelling software [10].
  • A virtual library of the intermediates of a lipase-catalysed transesterification process was constructed using Chem3D software with p-nitrophenyl acetate as substrate [11].
 

Gene context of Libraries, Digital

  • We describe a series of potent and selective inhibitors of ADAM12 that were discovered using computational screening of a focused virtual library [12].
  • Generation and evaluation of putative neuroregenerative drugs. Part 2: screening virtual libraries of novel polyketides which possess the binding domain of rapamycin [13].
  • This model should be generally applicable in virtual library counterscreening against HERG [14].
  • We have employed computer-assisted combinatorial chemistry methods to design a small focused virtual library of nonsymmetrically substituted cyclic urea inhibitors of the PR [15].
  • Fragment-based virtual library design and virtual screening have been conducted against malic enzyme (ME) homology model [16].

References

  1. Predictive in silico modeling for hERG channel blockers. Aronov, A.M. Drug Discov. Today (2005) [Pubmed]
  2. HierVLS hierarchical docking protocol for virtual ligand screening of large-molecule databases. Floriano, W.B., Vaidehi, N., Zamanakos, G., Goddard, W.A. J. Med. Chem. (2004) [Pubmed]
  3. A computational ensemble pharmacophore model for identifying substrates of P-glycoprotein. Penzotti, J.E., Lamb, M.L., Evensen, E., Grootenhuis, P.D. J. Med. Chem. (2002) [Pubmed]
  4. Virtual combinatorial syntheses and computational screening of new potential anti-herpes compounds. de Julián-Ortiz, J.V., Gálvez, J., Muñoz-Collado, C., García-Domenech, R., Gimeno-Cardona, C. J. Med. Chem. (1999) [Pubmed]
  5. Optimizing the size and configuration of combinatorial libraries. Wright, T., Gillet, V.J., Green, D.V., Pickett, S.D. Journal of chemical information and computer sciences. (2003) [Pubmed]
  6. Druggability of SCF Ubiquitin Ligase-Protein Interfaces. Cardozo, T., Abagyan, R. Meth. Enzymol. (2005) [Pubmed]
  7. Design, docking, and evaluation of multiple libraries against multiple targets. Lamb, M.L., Burdick, K.W., Toba, S., Young, M.M., Skillman, A.G., Zou, X., Arnold, J.R., Kuntz, I.D. Proteins (2001) [Pubmed]
  8. Classification scheme for the design of serine protease targeted compound libraries. Lang, S.A., Kozyukov, A.V., Balakin, K.V., Skorenko, A.V., Ivashchenko, A.A., Savchuk, N.P. J. Comput. Aided Mol. Des. (2002) [Pubmed]
  9. High-throughput screening and quantitative structure-efficacy relationship models of potential displacer molecules for ion-exchange systems. Mazza, C.B., Rege, K., Breneman, C.M., Sukumar, N., Dordick, J.S., Cramer, S.M. Biotechnol. Bioeng. (2002) [Pubmed]
  10. "Bite-and-Switch" approach using computationally designed molecularly imprinted polymers for sensing of creatinine. Subrahmanyam, S., Piletsky, S.A., Piletska, E.V., Chen, B., Karim, K., Turner, A.P. Biosensors & bioelectronics. (2001) [Pubmed]
  11. A molecularly imprinted catalyst designed by a computational approach in catalysing a transesterification process. Meng, Z., Yamazaki, T., Sode, K. Biosensors & bioelectronics. (2004) [Pubmed]
  12. Structure-based virtual screening and biological evaluation of potent and selective ADAM12 inhibitors. Oh, M., Im, I., Lee, Y.J., Kim, Y.H., Yoon, J.H., Park, H.G., Higashiyama, S., Kim, Y.C., Park, W.J. Bioorg. Med. Chem. Lett. (2004) [Pubmed]
  13. Generation and evaluation of putative neuroregenerative drugs. Part 2: screening virtual libraries of novel polyketides which possess the binding domain of rapamycin. Adalsteinsson, H., Bruice, T.C. Bioorg. Med. Chem. (2000) [Pubmed]
  14. A model for identifying HERG K+ channel blockers. Aronov, A.M., Goldman, B.B. Bioorg. Med. Chem. (2004) [Pubmed]
  15. Combinatorial design of nonsymmetrical cyclic urea inhibitors of aspartic protease of HIV-1. Frecer, V., Burello, E., Miertus, S. Bioorg. Med. Chem. (2005) [Pubmed]
  16. In silico design and synthesis of piperazine-1-pyrrolidine-2,5-dione scaffold-based novel malic enzyme inhibitors. Zhang, Y.J., Wang, Z., Sprous, D., Nabioullin, R. Bioorg. Med. Chem. Lett. (2006) [Pubmed]
 
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