蛋白質的三維結構決定其生理功能，然而決定立體結構的實驗曠日費時，故預測方法遂成為決定立體結構之重要輔助工具之ㄧ，蛋白質二級結構的預測通常被認爲是蛋白質立體結構預測的基礎，本研究將集中焦點於二級結構中的螺旋體序列。
　　現有二級結構之預測方法偏重於電腦運用的複雜演算法(基因演算法、類神經網路等)，並且對所有的胺基酸序列片段預測判斷，因此易造成預測方法精準度不佳且可信度不高。鑑此，本研究利用現存螺旋體資料庫進一步分析，彙整出結構穩定螺旋體的patterns、建構胺基酸特性分類函式及整理一些螺旋體特性，期望能提供使用者作為輔助預測判斷之用。我們避免了運用複雜的運算過程而得到的結果，而是用結構穩定的螺旋體做為分析運用，目的是希望能以較簡單預測的螺旋體序列，減少預測分析時的複雜度。

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