• DocumentCode
    1617556
  • Title

    A Protein Structure Data and Analysis System

  • Author

    Tian, Hao ; Sunderraman, Rajshekhar ; Weber, Irene ; Wang, Haibin ; Yang, Hong

  • Author_Institution
    Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    2847
  • Lastpage
    2850
  • Abstract
    In this paper, we present the design and implementation of a protein structure data and analysis system that is only used in the lab for analyzing the proprietary data. It is capable of storing public protein data, such as the data in Protein Data Bank (PDB) Berman et al., (2000), and life scientists´ proprietary data. This toolkit is targeted at life scientists who want to maintain proprietary protein structure data (may be incomplete), to search and query publicly known protein structures and to compare their structure data with others. The comparison functions can be used to find structure differences between two proteins at atom level, especially in mutant versions of proteins. The system can also be used as a tool of choosing better protein structure template in new protein´s tertiary structure prediction. The system is developed in Java and the protein data is stored in a relational database (Oracle 9i)
  • Keywords
    Java; biology computing; molecular biophysics; molecular configurations; proteins; relational databases; Java; Oracle 9i; Protein Data Bank; analysis system; protein structure; relational database; Amino acids; Bioinformatics; Computer science; Data analysis; Genomics; Java; Protein engineering; Relational databases; Sequences; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1617067
  • Filename
    1617067