• DocumentCode
    3478163
  • Title

    Phylogenetic Analysisof Trichomonade Xylosyltransferases

  • Author

    Hwa, Kuo-Yuan ; Hung, Hsing-Hsang ; Chen, Chen-Hsing

  • Author_Institution
    Dept. of Mol. Sci. & Eng., Nat. Taipei Univ. of Technol., Taipei
  • fYear
    2007
  • fDate
    11-13 Oct. 2007
  • Firstpage
    299
  • Lastpage
    304
  • Abstract
    Our goal is to search for xylosyltransferase genes from the T vaginalis EST genome database by bioinformatics approaches. First, we have constructed a theoretical model of conserved xylosyltransferase sequences based on a hidden Markov models (HMM) built from known xylosyltransferases sequences. Eight candidate sequences of xylosyltransferase are detected in T vaginalis genome. We have also confirmed the results by blasting through NCBI´s non-redundant protein database. To analyze which family of xylosyltransferase these sequences belongs to, we have constructed an unrooted dendrogram of xylosyltransferease protein family, based on distance- matrix method. The result suggests that the T. vaginalis xylosyltransferase sequences are more closely related to beta-1,2-xylosyltransferases, but not to O-linked xylosyltransferase. All our in silico results are consistent with the structural data of T vaginalis N-linked glycans.
  • Keywords
    biological techniques; cellular biophysics; genetics; hidden Markov models; medical computing; molecular biophysics; proteins; NCBI nonredundant protein database; O-linked xylosyltransferase; T vaginalis EST genome database; T vaginalis N-linked glycans structural data; beta-1,2-xylosyltransferases; bioinformatics; blasting; distance-matrix method; hidden Markov models; human trichomoniasis; phylogenetic analysis; sexually transmitted pathogen; trichomonade xylosyltransferases sequences; unrooted dendrogram; Bioinformatics; Databases; Genomics; Hidden Markov models; Humans; Indexes; Phylogeny; Polymers; Proteins; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in the Convergence of Bioscience and Information Technologies, 2007. FBIT 2007
  • Conference_Location
    Jeju City
  • Print_ISBN
    978-0-7695-2999-8
  • Type

    conf

  • DOI
    10.1109/FBIT.2007.109
  • Filename
    4524123