高精度シグナルペプチド予測システム:SOSUIsignal

  • 五味 雅裕
    東京農工大学工学部生命工学科
  • 園山 正史
    名古屋大学大学院工学研究科マテリアル理工学専攻
  • 美宅 成樹
    東京農工大学工学部生命工学科 名古屋大学大学院工学研究科マテリアル理工学専攻

書誌事項

タイトル別名
  • High performance system for signal peptide prediction: SOSUIsignal

抄録

We describe a novel method for predicting a signal peptide of which three-domain (tripartite) structure is recognized by three modules of the software system. The first module numerates hydrophobic segment in N-terminal 100 residues, the second predicts signal sequences including both signal peptides and signal anchors, and the third discriminates signal peptides. Two novel indexes, SS- and SP-indexes, were developed for the discrimination of signal sequences and signal peptides, respectively, by calculating the relative propensities of amino acids at the carboxyl-terminal end of the hydrophobic region. The number of adjustable parameters in the whole system was only five. When three groups of data (917 signal peptides, 103 signal anchors and 544 non-signal sequences) were analyzed, signal peptides of eukaryotes could be discriminated with the Matthews correlation coefficient of 0.89. The signal peptide predictor SOSUIsignal is available at the web site: http://bp.nuap.nagoya-u.ac.jp/sosui/sosuisignal/sosuisignal_submit.html. This system has the advantage of very fast calculation.

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