• DocumentCode
    471843
  • Title

    Combinatorial model for sequence and spatial motif discovery in short sequence fragments: Examples from Ã\x9f-barrel membrane proteins

  • Author

    Jackups, Ronald, Jr. ; Liang, Jie

  • Author_Institution
    Dept. of Bioeng., Illinois Univ., Chicago, IL
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    3470
  • Lastpage
    3473
  • Abstract
    Motifs are over-represented sequence or spatial patterns appearing in proteins. They often play important roles in maintaining protein stability and in facilitating protein functions. When motifs are located in short sequence fragments, as in transmembrane domains that are only 10-20 residues in length, and when there is only very limited data, it is difficult to identify motifs. In this study, we develop combinatorial models for assessing statistically significant sequence and spatial patterns. We show our method can uncover previously unknown sequence and spatial motifs in beta-barrel membrane proteins
  • Keywords
    biochemistry; biomembranes; combinatorial mathematics; molecular biophysics; proteins; statistical analysis; beta-barrel membrane proteins; combinatorial model; protein functions; protein stability; short sequence fragments; spatial motif discovery; spatial patterns; statistically significant sequence; transmembrane domains; Analytical models; Assembly; Biomembranes; Cities and towns; Equations; Frequency; Protein engineering; Stability; Statistical distributions; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.259727
  • Filename
    4462543