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Unmet challenges of structural genomics

  1. Author:
    Chruszcz, M.
    Domagalski, M.
    Osinski, T.
    Wlodawer, A.
    Minor, W.

  2. Author Address

    [Chruszcz, Maksymilian; Domagalski, Marcin; Osinski, Tomasz; Minor, Wladek] Univ Virginia, Dept Mol Physiol & Biol Phys, Charlottesville, VA 22908 USA. [Wlodawer, Alexander] NCI, Prot Struct Sect, Macromol Crystallog Lab, Frederick, MD 21702 USA.;Minor, W, Univ Virginia, Dept Mol Physiol & Biol Phys, 1340 Jefferson Pk, Charlottesville, VA 22908 USA.
    1. Year: 2010
    2. Date: Oct
  2. Journal: Current Opinion in Structural Biology
    1. 20
    2. 5
    3. Pages: 587-597
  4. Type of Article: Article
  5. ISSN: 0959-440X
  1. Abstract:

    Structural genomics (SG) programs have developed during the last decade many novel methodologies for faster and more accurate structure determination These new tools and approaches led to the determination of thousands of protein structures The generation of enormous amounts of experimental data resulted in significant improvements in the understanding of many biological processes at molecular levels However the amount of data collected so far is so large that traditional analysis methods are limiting the rate of extraction of biological and biochemical information from 3D models This situation has prompted us to review the challenges that remain unmet by SG, as well as the areas in which the potential impact of SG could exceed what has been achieved so far

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External Sources

  1. View Full Text
  2. DOI: 10.1016/j.sbi.2010.08.001
  3. View record in Web of Science®
  4. WOS: 000284676900009

Library Notes

  1. Fiscal Year: FY2010-2011
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