ゴルジ膜貫通領域に着目した糖転移酵素の判別

  • Mukai Yuri
    Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST)
  • Hirokawa Takatsugu
    Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST)
  • Tomii Kentaro
    Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST)
  • Asai Kiyoshi
    Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST) Department of Computational Biology, Graduate School of Frontier science, The University of Tokyo
  • Akiyama Yutaka
    Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST)
  • Suwa Makiko
    Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST)

書誌事項

タイトル別名
  • Identification of Glycosyltransferases Focusing on Golgi Transmembrane Region
  • ゴルジマク カンツウ リョウイキ ニ チャクモクシタ トウ テンイ コウソ ノ ハンベツ ガン エイゴブン

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抄録

To uncover novel glycosyltransferase (GT) genes from the entire human genome, we have developed a computational method for determining the transmembrane region of Golgi-localized signal-anchor-type GT. The characteristics of GT were extracted by comparison with those of the plasma-membrane-localized signal-anchor-type membrane protein (PM) and the protein with signal peptide (SP), whose topologies are similar to that of GT. The Golgi-membrane-spanning region of GT was distinguished from PMs and SPs with sensitivity and specificity exceeding 95% using the position-specific score matrix (PSSM) of amino acid propensity based on hydropathy alignment. Using our algorithm for determining the Golgi-membrane-spanning region of GTs, an improvement in the efficiency of GT gene detection is expected.

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