• DocumentCode
    397288
  • Title

    Automatic construction of 3D structural motifs for protein function prediction

  • Author

    Liang, Mike P. ; Brutlag, Doug L. ; Altman, Russ B.

  • Author_Institution
    Dept. of Genetics, Stanford Med. Inf., CA, USA
  • fYear
    2003
  • fDate
    11-14 Aug. 2003
  • Firstpage
    613
  • Lastpage
    614
  • Abstract
    Structural genomics initiatives are on the verge of generating a vast number of protein structures. The biological roles for many of these proteins are still unknown, and high-throughput methods for determining their function are necessary. Understanding the function of these proteins will have profound impact in drug development and protein engineering. Current methods for protein function prediction on structures require manual creation of structural motifs. Thus only few structural motifs are available. The lack of structural motifs limits the use of these methods for function prediction at a structural-genomics scale. To overcome this limitation, we describe a method for automatically creating a library of three dimensional structural motifs. Automatically generating a library of structural motifs can be used for structural-genomic scale function prediction on protein structures.
  • Keywords
    biology computing; drugs; genetics; library automation; proteins; 3D structural motifs; drug development; library automatic construction; protein engineering; protein structure; structural-genomic scale function prediction; Amino acids; Atomic measurements; Bioinformatics; Biomedical informatics; Calcium; Databases; Genetics; Genomics; Libraries; Protein engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE
  • Print_ISBN
    0-7695-2000-6
  • Type

    conf

  • DOI
    10.1109/CSB.2003.1227423
  • Filename
    1227423